Principal Data Scientist Deep Learning

Company Description
We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.
Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.
Job Description
Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the Direct-to-Consumer Recommendation Sciences team, the Principal Data Scientist will be responsible for creating machine learning solutions for NBCU’s video streaming service including but not limited to, content recommendations, product experience personalization, and personalized ad services.
In this role specifical, the Principal Data Scientist (Deep Learning) will lead algorithmic solution design, rapid prototyping, and technical review for the ML/AI models underlying personalized user experiences and content promotion. They will be a key point of contact for cross-functional architects and software developers as they integrate personalized data products and capabilities across our suite of global and domestic products. They will work with a dynamic cohort of high calibar individuals across Product, Technology, Marketing, Content Discovery, Editorial, and more to build a state-of-the-art real-time video streaming service
Responsibilities include, but are not limited to:
Build and manage a high-performance team of data scientists.Lead the team in the development of a recommendation system modeling and experimentation framework.Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.Manage multiple priorities across business verticals and machine learning lifecycle projects. Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service functionality.Drive innovation of the statistical and machine learning methodologies and tools used by the team. Lead improvements in machine learning lifecycle infrastructure.Drive a data science culture that inspires and motivates the team to succeed.

Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.6+ years of combined experience in software development or data scienceExperience with commercial recommender systems or a lead role in an advanced research recommender system project.Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software providerWorking experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.Proficiency in Python. Go, Scala, or Java is a plus.Experience in data processing using SQL and PySpark, and extensive experience with NoSQL and Feature Store production interactionsGood understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
Desired Characteristics:
Experience in content streaming or commerce as a senior contributor to AI/ML-powered product features and user experiencesExperience with reinforcement learning based systems.Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).Experience with large-scale video assets.Ability to build trust across the organization and socialize solutions and identified data insightsPride and ownership in your work and confident representation of your team to other parts of NBCUniversal.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $185,000 -  $220,000, bonus and LTI eligible
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.


Data Science Analytics Internships Academic Year

Company Description
See yourself at NBCU! Be a part of our intern community, a diverse group of curious and passionate trailblazers who we believe are the future of our industry.
The NBCUniversal Internship Program allows students to unlock their potential by contributing to big projects in meaningful ways that matter. To thrive as an NBCU intern, you are ready to bring your passion for media, entertainment, and technology along with your desire to learn each day.
Your professional development is important to us. NBCU interns receive career prep, leadership exposure, connection to other interns, networking, and of course, all the fun you can imagine along the way. Because we know it can be challenging to balance coursework and internship commitments, we offer interns paid time off for mental health, school exams, and personal holidays.
To meet students where they are, we will host internships in both a virtual and in-person format. Opportunities listed will either be in-person based on the location mentioned or virtual, depending on business needs. Some of our internship opportunities that begin in September will continue through the Academic Year and end in April. Please be sure to read this job description carefully and note the internship dates, locations, and departments before applying.
Job Description
Academic Year Internship Program:
Applications Close: June 9, 2023 at 11:59pm ET. Pro Tip: Submit your application as soon as possible – don't delay! Program Dates: September 18, 2023 – April 19, 2024 Time Commitment: 16-24 hours per week. Exact schedule to be determined based on business need. We will do our best to accommodate course schedules.
To Apply:
Submit a one-page resume that outlines your work experience, accomplishments, and your graduation month and year. Submit a cover letter that highlights your passion for NBCUniversal, the locations (listed below) you are open to for internships, and your top areas of interest (opportunities listed below). Upload a transcript (unofficial transcripts are fine) that confirms your status as an actively enrolled student in a degree-granting program.

Introducing Peacock, NBCUniversal’s new streaming service that combines timeless shows and movies, exclusive originals, kids programming and current hits, with timely news, sports and pop culture. All together. All in one app.
We are building a world-class team of smart, hungry and fearless professionals who are energized by the possibility of working at the epicenter of content, technology and culture. Unlike a traditional internship, the Data Science Internship in Peacock embeds future data scientists in ongoing projects within the organization. They become active members of existing teams developing data science projects, acquiring specific responsibilities, goals and timelines which are interdependent with the goals and timelines of the teams they are embedded in. Upon the completion, future Data Scientists will have gained experience in real-world projects on a typical data science environment, using state of the art data science tools, and broad exposure to the media industry.
Areas of placement may include, but are not limited to:
Peacock Data Science, Customer Behavior: As the data science intern, you’ll get to build machine learning and statistical models to understand and predict customer behavior and interactions with Peacock streaming service, build models for content performance, personalization and recommendations systems, content greenlighting and other business use cases, explore and transform data and create high quality features for the modeling process using self-serve Feature Store capabilities, collaborate with the team to build machine learning pipelines using various ML tools including Kubeflow, and work on improving the codebase and machine learning lifecycle infrastructure and actively participate in all aspects of the teamwork. Peacock Data Science, Customer Journey: As the data science intern, you’ll get to build machine learning and statistical models to understand customer journey and predict customer lifetime value, explore and transform data (e.g., cleansing, discretization, imputation, selection, generalization) to create high quality features for the modeling process, collaborate with the team to build real-time and automated batch pipelines for productizing data science solutions, use big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects, and work on improving the codebase and machine learning lifecycle infrastructure and actively participate in all aspects of the teamwork.
Qualifications
Basic Requirements:
Must be actively enrolled in a degree-granting program at an accredited institution during the entire duration of the program. Current class standing of sophomore or above (30 credits). Must be authorized to work in the United States without visa sponsorship by NBCUniversal. Must be working from a location within the United States during all hours worked.
Desired Characteristics:
Students with class standing of junior or above preferred. Cumulative GPA of 3.0 or above. Knowledge of statistics and its applications for inferential data analysis.  Hands on experience in statistical methods and machine learning with special emphasis on advanced algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, reinforcement learning, etc.   Familiarity with deep learning modeling using Tensorflow or Pytorch.  Working knowledge of SQL and Python.   Familiarity with Google Cloud Platform.   Experience with data visualization techniques and concepts. Experience processing large amounts of data in a cloud environment, like AWS, GCP, etc. In pursuit of a Master’s or PhD in Data Science, Computer Science, Operations Research, Statistics, Mathematics, Economics or other relevant quantitative fields. Team oriented and collaborative with an aptitude and willingness to learn new methods and tools.
The hourly rate for undergraduate student interns is $30.00.
The hourly rate for graduate student interns is $35.00.
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.


Data Scientist

Job Description
**100% Remote - must work EST**   Our client, a leader in their industry, needs a Data Scientist with computer vision/image processing experience to join their team.  We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities of the Data Scientist:
Create computer vision AI/ML models based on use cases identified via business need  Determine the model algorithm stack based on use case requirements  Leverage shared libraries to accelerate development  Define, train and score models following a common use case development path  Work cross-functionally in AI/ML team to drive continued improvement of processes and deliver the next set of improvements  Partner with other functions to drive long-term roadmap, improved capabilities, and share results/processes with the organization more broadly
Requirements of the Data Scientist:
Experience working with large imagery datasets and managing them for model training and scoring Knowledge of common imagery formats and their associated technical packages Experience with deep learning using PyTorth, Tensorflow, Keras Knowledge of designing ML models to use case specification Experience with scaling production models using containerization  Fluency in Python; some experience with production pipeline coding - Java, Go, Scala PhD in computer science or related field preferred
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
Job ID: 377922
About Eliassen Group:
Eliassen Group is a leading strategic consulting company that provides business and IT services for our clients as they seek to transform and execute strategies that will drive exceptional outcomes. Leveraging over 30 years of success, we focus on professional services, talent solutions, and life sciences. Eliassen Group offers local community presence and deep networks. We are committed to positively impacting the lives of our employees, clients, consultants, and the communities in which we operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


Sr Data Scientist

Job Summary: Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives. Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and executes solutions from initial concept to fully tested production, and communicates results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact based management to drive decision making. Mentors less senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments. Provides consultation to Sr. Leadership on a normal basis.Minimum Qualifications:Masters degree or equivalent in a quantitative discipline required. five (5) years work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics. superior analytical skills with diverse analytics and statistical software and applications. excellent interpersonal skills, written, and oral communication skills. Proven leadership skills.Domicile: This position will be domiciled in Memphis, TN. Remote Work: The ability to work remotely within the United States may be available based on business need.
Additional InformationSalary Range Estimate: Monthly Salary: $7,912.24 - $10,879.32.  This compensation range is provided as a reasonable estimate of the current starting salary range for this role. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role.Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below.  If the date below is blank, there is no specified closing date for this requisition.
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.

FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021

FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact recruitmentsupport@fedex.com.


Data Scientist Ii

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.  Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.Today, as part of F5 Security team, we identify and stop automated attacks and fraud against web and mobile applications of the Fortune Global 2000. Tomorrow, we’ll need to fight even more sophisticated adversaries, while helping human users to have ever more friction-less experience. Come be a part of our unparalleled team that is responsible for making the Internet a safer place for everyone.The PositionWE are seeking a driven, analytical and highly professional data scientist to help deliver our anti-fraud solution to customers, and the future of what we build. You will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the opportunity to train and deploy machine learning models to fight fraud, in real-time and on highly visible web and mobile applications.This Data Scientist will be part of a team that is responsible for delivering F5's anti-fraud solution to customers. You’ll have an opportunity to engage closely with customers, and become an expert in fraud across multiple use cases and industry verticals. We are looking for a data scientist who has a nose for identifying fraud and anomalous patterns in huge and often messy datasets, and who is adept at using these insights to build high-performance machine learning models. The ideal candidate will also have a penchant for working closely with enterprise customers, and a desire to deliver outstanding value to them.Responsibilities:
Work closely with customers to quickly understand their fraud challenges, and identify how F5 might be able to help them successfully fight fraud.
Identify useful data from customers’ web and mobile applications, and engineer relevant features for fraud models.
Train and deploy machine learning models to predict fraud outcomes, based on telemetry and customer-provided data.
Maintain models for customers, and update or refresh them as needed.
Communicate clearly and effectively with internal teams (sales, customer success, product, engineering, etc) and with customers on the performance of machine learning models, as well as other fraud and data science issues.
Provide feedback to internal teams on data science, product, engineering issues, and suggest process improvements.
Requirements:The ideal candidate would have:
Strong analytical skills including the ability to manipulate, model, interpret and visualize large quantities of structured data.
Strong proficiency in Python and SQL
Experience with building and deploying machine learning models on large-scale data. Experience working with highly unbalanced data (e.g. commonly found in fraud use cases) a strong plus.
A passion for delighting customers, and an aptitude for engaging with customers on fraud, security and machine learning issues on a regular basis. Prior experience working with customers on complex fraud or security issues would be a strong plus.
Familiarity with common web and mobile technologies.
Strong interpersonal skills, personable, and persistent. A good listener. Self-motivated, able to work well both independently and as part of an agile team.
A demonstrated enthusiasm and capacity to learn new technologies quickly.
A scrappy yet meticulous approach, and a love for problem solving!
#LI-AP1#LI-REMOTEThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Yello/Workday (ending with f5.com or @myworkday.com).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.


Data Scientist Iii


Sr Data Scientist

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.  Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.Today, as part of F5, Security products identify and stop automated attacks and fraud against web and mobile applications of the Fortune Global 2000. Tomorrow, we’ll need to fight even more sophisticated adversaries, while helping human users to have ever more friction-less experience. Come be a part of our unparalleled team that is responsible for making the Internet a safer place for everyone.The PositionWE are seeking a driven, analytical and highly professional data scientist to help deliver our anti-fraud solution to customers, and the future of what we build. You will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the opportunity to train and deploy machine learning models to fight fraud, in real-time and on highly visible web and mobile applications.This Data Scientist will be part of a team that is responsible for delivering F5's anti-fraud solution to customers. You’ll have an opportunity to engage closely with customers, and become an expert in fraud across multiple use cases and industry verticals. We are looking for a data scientist who has a nose for identifying fraud and anomalous patterns in huge and often messy datasets, and who is adept at using these insights to build high-performance machine learning models. The ideal candidate will also have a penchant for working closely with enterprise customers, and a desire to deliver outstanding value to them.Responsibilities:
Work closely with customers to quickly understand their fraud challenges, and identify how F5 might be able to help them successfully fight fraud.
Identify useful data from customers’ web and mobile applications, and engineer relevant features for fraud models.
Train and deploy machine learning models to predict fraud outcomes, based on telemetry and customer-provided data.
Maintain models for customers, and update or refresh them as needed.
Communicate clearly and effectively with internal teams (sales, customer success, product, engineering, etc) and with customers on the performance of machine learning models, as well as other fraud and data science issues.
Provide feedback to internal teams on data science, product, engineering issues, and suggest process improvements.
Requirements:The ideal candidate would have:
Strong analytical skills including the ability to manipulate, model, interpret and visualize large quantities of structured data.
Strong proficiency in Python and SQL
Experience with building and deploying machine learning models on large-scale data. Experience working with highly unbalanced data (e.g. commonly found in fraud use cases) a strong plus.
A passion for delighting customers, and an aptitude for engaging with customers on fraud, security and machine learning issues on a regular basis. Prior experience working with customers on complex fraud or security issues would be a strong plus.
Familiarity with common web and mobile technologies.
Strong interpersonal skills, personable, and persistent. A good listener. Self-motivated, able to work well both independently and as part of an agile team.
A demonstrated enthusiasm and capacity to learn new technologies quickly.
A scrappy yet meticulous approach, and a love for problem solving!
#LI-RemoteThe Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.The annual U.S. base pay range for this position is:  $160,499.00 - $240,749.00F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice. Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Yello/Workday (ending with f5.com or @myworkday.com).Equal Employment OpportunityIt is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.


Staff Data Scientist Marketplace

The Role
Reporting to the Head of Data, this role presents a unique and exciting opportunity to lead our data science practice.
A key area of focus will be on our marketplace dynamics and supply:demand liquidity. You will use data to understand our customers, whether it be building eater personas and taste profiles or advancing our search and recommender engine capabilities.
Responsibilities

Structure business problems, build predictive models, and oversee the implementation into production. Putting a key initial focus on our supply and menu, to personalize our large assortment for the many preferences that we all have as eaters.
Partner with our supply leadership to create a data-driven framework for optimizing supply and demand elasticities through experimentation and predictive modeling. What chefs and meals should we add next?

Develop and implement online and offline testing and validation methodologies. What was the incrementality of adding African meals in Austin? What is the optimal rotation of our menu each week?

Provide thought leadership on data science best practices, trends, and emerging technologies. Leverage LLMs to build a prototype CookUnity ‘waiter’ menu experience or a ‘taste profile’ for each customer.

Oversee the creation of a modern, best-in-class data science infrastructure, partnering with engineering.
Provide mentorship and guidance to data scientists, promoting best practices and professional development.

Qualifications

6+ years of experience in data science or related fields.
Proven experience in applying machine learning and statistics to create and expand competitive advantages and company growth. Experience in any of the following is a big plus: Marketplace, Subscription, and Food industry.
Strong programming (Python / Scala / Java / C++ or equivalent) skills.
Utilize OSS ML technologies such as PyTorch, TensorFlow, Spark, Airflow.
A strong understanding of various algorithms' real-world advantages and drawbacks and the ability to measure success.
MS or higher in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful.

Benefits
🩺  Health Insurance coverage
⛱ PTO policy and paid sick days.
📈 We grow, you grow: Stock Options Plan granted on Day 1.
🐣 Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid.
🕯 Compassionate Leave: 3-5 days each time the need arises.
🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly.
🧘🏽♀ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle.
👩🏾🏫 Personalized Spanish coach.
🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work!


Data Scientist

Numerade is seeking a Data Scientist to join our mission.  You will have the opportunity to  collaborate with partners across the company, and push the boundaries of leveraging data to improve student and educator success!
In this role, you’ll get to:

Solve complex business problems by leveraging our available data or by creating new datasets in collaboration with engineering teams
Generate actionable insights for the business using statistical and data visualization techniques
Collaborate with product/engineering teams to design and analyze experiments to optimize business metrics
Communicate results and impact to product and business stakeholders
Turn models into data products, collaborate with engineering and business teams

You’ll bring:

PhD, MS, or 3+ years research experience in data science, computer science, information retrieval, statistics, or another quantitative/computational discipline
Expertise with SQL and relational databases, especially in working with large and complex datasets
2+ years coding experience, Python required
Experience with manipulating large structured or unstructured datasets for analysis
Familiarity with A/B tests and experiment design
Experience working with datasets and data-related frameworks in a cloud environment such as AWS, GCP, or Azure
Experience with recommendation systems and personalization a plus
Familiarity with modeling behavioral/user data a plus
Experience using NLP methods a plus
Experience building statistical inferential models a plus
Experience with building data products, either internal or consumer-facing a plus
Have a passion for empirical research and for answering hard questions with data
Have a proven record of solving challenging problems in academia and/or industry
Eager to collaborate with both technical and non-technical colleagues in content, product management, marketing, and executive leadership groups
Excellent analytical and problem-solving skills
Strong oral and written communication skills

Interview Process (video call):

Intro call - 30 min with Ivy, Head of People to discuss the role and your background

Technical call - 30 min with Jackie, VP of Engineering to understand your experience

Final group technical call - 60 min with Jackie, and Raj, Lead Data Scientist to learn more about your experience and skills set.

Benefits and Perks:

Work from home, or wherever. We’re remote-first!
Competitive salary with a significant upside in equity
Health + dental + vision coverage offered for both employees and their dependents
401k plan
Flexible PTO, holiday, and leave policies, including paid parental leave for new parents - We want you to take time to relax, recharge, and reset!
Tons of opportunities for advancement!

The base salary range for this position is $95,000- $135,000 annually. Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, qualifications and other business considerations.


Senior Data Scientist

Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 14 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.

We are looking for a Senior Data Scientist to help us turn our vast repository of data into usable information, leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities.

Deliverables, including estimated time of how much of an average week is spent doing each item - this is subject to change:
25% - Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted.
20% - Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy.
15% - Create automated anomaly detection systems and quality assurance metrics to track performance constantly.
15% - Communicate best practices in quantitative analysis and develop cross-functional partnerships.
15% - Perform Ad-hoc analysis and present results.
10% - Keep up to date with the latest technology trend to apply them to our business challenges.

Requirements:
Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields.
Minimum of 3 years of any internet or large B2C working experience in analytics, data mining, data visualization, and/or predictive modeling.
Proficiency in working with SQL and Python
Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to communicate insights effectively.

Spokeo offers a bonus program, equity plans, and 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. Additional benefits include; 100% coverage for medical/dental/vision for all employees and unlimited PTO.

Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to: marketplace competition, job leveling, the candidate’s experience, skills, etc.

Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy

Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.

Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.

#LI-Remote


Data Scientist

Thyme Care is a value-based oncology management platform that provides personalized, clinically coordinated care to individuals with cancer. Thyme Care pairs human guidance with software and analytics to engage members with a cancer diagnosis, quickly connects them to the right care and provides ongoing support through targeted, evidence-based interventions. The company’s unique approach establishes deep provider relationships and integrates with a health plan’s existing infrastructure, coordinating value-driven care that leads to better outcomes, lower costs and an improved member experience. Backed with venture funding from Andreessen Horowitz (a16z), AlleyCorp, Frist Cressey Ventures, Casdin Capital and Bessemer, Thyme Care partners with health insurance plans and providers to extend the reach of high-quality cancer care through flexible value-based payment arrangements, including risk-based programs.
Your Role:
As a Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities that will support Thyme Care’s mission. You will model data and create visualizations to report to stakeholders and deliver insights that drive action. To excel in this role, you should have experience working with healthcare data such as claims, prior auth, and electronic health records.
In this position, you will collaborate with our Product, Engineering, Clinical, and Operations teams to identify opportunities to further improve outcomes and track the efficacy of our interventions as we serve our members and clients. You will help us establish deep provider relationships by building data products to aid in practice transformation efforts.
After three months you will:
Gained a deep understanding of our data platform and contributed to improving our data models and pipelines.
Built relationships with oncology practices and providers and demonstrated Thyme Care’s expertise in building data & analytics products.
Collaborated with stakeholders to understand their business requirements and translate them into technical plans. This involves developing data models, pipelines, and analytics dashboards with Looker or RStudio. For example, you may use dbt to build models that analyze medical claims data to identify utilization of value care across oncology practices or analyze dispersion of medical care among our members and its impact on out-of-pocket costs.
After 6 months you will:
Take ownership and led the development of data models to measure the effectiveness of our interventions with oncology practices and report outcomes internally and externally.
Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture to support our team's growth.
Lead the development of utilization and quality metrics and become the go-to person for resolving stakeholder inquiries. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care .
What leads to success:
Act with our members in mind. Thyme Care’s mission, and in particular our member experience, matters deeply to you.
Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately.
Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.
Experience. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis.
Technical ability.  You are proficient in analytical, data modeling, and data transformation is crucial. Familiarity with DBT is preferred, but we are open to candidates willing to learn it quickly. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.
Clear communication.  You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.
Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.
OUR VALUES
At Thyme Care, our core values—Act with our members in mind, Move with purpose, and Seek diverse perspectives—guide us in everything we do. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.
 We are committed to promoting the health and well-being of all individuals. As a provider of cancer care navigation, we recognize that those with cancer constitute a vulnerable population at risk of contracting COVID-19.  As such, Thyme Care employees are expected to be fully vaccinated against COVID-19 as defined by the Centers for Disease Control and Prevention, subject to conflicting laws and exemptions based on medical or religious objections.
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other Thyme Care employees. In accordance with New York City law, the base salary for this role if filled within New York City is $135,000-$150,000. The salary range could be lower or higher than this if the role is hired in another location. We also believe that your personal needs and preferences should be taken into consideration so we allow some choice between equity and cash.
We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal opportunity employer.


Sr Data Scientist

Smartsheet is looking for an experienced Senior Data Scientist to help guide analyses, create predictive and prescriptive insights, and influence decisions. With thousands of subscribing organizations and millions of users there is lots of opportunity to make a meaningful impact and increase growth through analytics within Smartsheet. You are curious, have strong data science and machine learning skills  and the ability to communicate key insights effectively. You will work primarily with Product, Marketing and Engineering and will be a part of Smartsheet's Business Intelligence team.
In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud-based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes.
This full-time position reports to the Data Science Manager and is based in Smartsheet’s corporate offices in Bellevue, WA, or remotely.
Our team focuses on distributed decision making that rewards ownership, transparency, and collaboration. Learn more about our platform here: Smartsheet Overview Video
You Will:
Partner with Product, Marketing and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
Develop and implement advanced predictive and prescriptive models using machine learning algorithms to drive marketing and product decisions
Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features
Conduct experiments, causal studies and A/B tests to measure the impact of marketing and product
Leverage data to understand product performance and to identify improvement opportunities
Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations
Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions
Think strategically on how to scale your work
Identify areas for further investigation
Drive a data culture within the Product, Marketing and Engineering teams
You Have:
Bachelor's degree and 5+ years of experience (or 7+ years of experience)
Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems and experimental design
Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
Strong programming skills in Python or R
Proficient in SQL and  skilled in visualization tools (ex. Tableau)
Strong track record of forming effective cross-functional partnerships
Experience using data to meaningfully impact product, marketing strategy and execution
Experience communicating analysis clearly to others
Ability to research and learn new technologies, tools, and methodologies
Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
Perks & Benefits:
HSA, 100% employer-paid premiums, or buy-up medical/vision and dental coverage options for full-time employees
Equity - Restricted Stock Units (RSUs) with all offers
Lucrative Employee Stock Purchase Program (15% discount)
401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
Monthly stipend to support your work and productivity
Flexible Time Away Program, plus Incidental Sick Leave
Up to 24 weeks of Parental Leave
Personal paid Volunteer Day to support our community
Opportunities for professional growth and development including access to LinkedIn Learning online courses
Company Funded Perks, including a counseling membership, primary care membership, local retail discounts, and your own personal Smartsheet account
Teleworking options from any registered location in the U.S. (role specific)
US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
US employees receive 12 paid holidays per year
Smartsheet provides a reasonable range of compensation for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive bonus and RSU stock grant upon accepted offer. California & New York: $118,800-$172,800 All other US States: $110,000-$160,000
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity Employer committed to fostering an inclusive environment with the best employees. We provide employment opportunities without regard to any legally protected status in accordance with applicable laws in the US, UK, Germany, Costa Rica, and Australia. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
At Smartsheet, we strive to build an inclusive environment that encourages, supports, and celebrates the diverse voices of our team members who also represent the diverse needs of our customers. We’re looking for people who are driven, authentic, supportive, effective, and honest. You’re encouraged to apply even if your experience doesn’t precisely match our job description—if your career path has been nontraditional, that will set you apart. At Smartsheet, we welcome diverse perspectives and people who aren’t afraid to be innovative—join us!
Our Candidate Privacy Notice describes how Smartsheet may process your personal data, including the use of a third party provider for application submissions.
Apply Now


Data Scientist

1010data values:â€ŻÂ

Integrity: Doing the right things for the right reasonsÂ

Agility: Adapting and thriving in a dynamic environmentâ€ŻÂ

Teamwork: Combining our strengths to do amazing thingsâ€ŻÂ

Passion: Channeling enthusiasm to drive excellenceÂ

Creativity: Unleashing curiosity to defy the normâ€ŻÂ

About the role:â€ŻÂ

1010data is looking for a Data Scientist to build internal and external data products to solve client-driven business problems.Â  The Data Science team applies our curiosity and passion for data to create insights that help our clients make better decisions.Â  We create timely and sophisticated analyses, build pipeline modules, deploy machine learning models, and implement new techniques to enhance 1010dataâ€™s products.Â Â
Our modern tech stack builds pipelines using 1010dataâ€™s industry-leading big data platform and open-source tools such as Airflow, Spark, and Python to analyze billions of rows of data every day.Â  In this role, you will work closely with data engineers, product leaders, and client-facing teams as you build new capabilities.Â Â

What you will take on:â€ŻÂ

Use your curiosity and passion for data to answer complex questions over real-world datasets comprised of billions of rowsÂ

Conduct statistical analysis, natural language processing (NLP), and integration of massive datasets from multiple sources including exploratory analysis, identifying and correcting for bias, and answering client inquiriesÂ

Conduct proof-of-concept studies to evaluate multiple competing models or forecasts to empirically justify your recommendations for actionÂ

Learn and use 1010dataâ€™s industry-leading big data platform and Macro Language to build and deploy high performance data pipelinesÂ Â

Communicate your findings, visualize results, and demonstrate your models effectively to broad, non-technical audiencesÂ

Design, develop, deploy, and support production-critical pipelines and ML models using 1010data Insight Platform and open-source tools such as Airflow and SparkÂ

You will be based in the US and will be comfortable working remotely with the Data Science, Data Quality, Dataâ€ŻEngineering,â€Żand Account Management teams Â

This role is notâ€Żsponsorableâ€ŻÂ

What you already have:â€ŻÂ

Masterâ€™s or bachelor's degree in a quantitative or technical field such as Computer Science, Physics, Mathematics, Econometrics, or Engineering.Â  PhD is a plus.Â Â

0-3 years professional experience conducting statistical analysis, building production data science models, and creating insights from data at large scaleÂ

Curiosity, clarifying questions, a passion for learning new things, and perseverance in the face of uncertaintyÂ Â

Ability to communicate clearly in meetings and written documents, consider options presented by others, and reach a balanced technical opinionâ€Żâ€Ż

Understand and communicate the foundations of machine learning methods, their strengths, and their limitationsÂ

Proficiency in writing software (Python preferred) to implement data science algorithms, data quality checks, cross-validation, and parameter tuningÂ

Experience working with parallel processing frameworks like Spark and orchestration frameworks like AirflowÂ

Proficiency in database and software engineering best practices such as query design, version control, unit testing, and deployment methodsÂ

The expected base salary range for this position is from $70,000 -$100,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, geography, and where applicable, certifications obtained. Market and organizational factors are also considered. Â In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary annual performance bonus compensation.

About 1010data:â€ŻÂ

For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and market conditions and rapidly respond with highly targeted strategies. The 1010data Insights Platform combines market intelligence, data management, granular enterprise analytics, and collaboration capabilities to empower better business outcomes. More than 900 of the worldâ€™s foremost companiesâ€™ partner with 1010data to power smarter decisions.â€Żâ€ŻÂ
You can find this on the Company page of 1010data atâ€Żhttps://1010data.com/company/â€Żâ€ŻÂ
We are an equal opportunity employer and value diversity at our company. We do not discriminateâ€Żon the basis ofâ€Żrace, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.â€ŻÂ Â
Â
#LI-remote


Sr Data Scientist

Senior Data Scientist
Product - Data Science
1010data values:

Integrity: Doing the right things for the right reasons
Agility: Adapting and thriving in a dynamic environment
Teamwork: Combining our strengths to do amazing things
Passion: Channeling enthusiasm to drive excellence
Creativity: Unleashing curiosity to defy the norm

About the role:
1010data is looking for a Senior Data Scientist to build internal and external data products to solve client-driven business problems.  The Data Science team applies our curiosity and passion for data to create insights that help our clients make better decisions.  We create timely and sophisticated analyses, build pipeline modules, deploy machine learning models, and implement new techniques to enhance 1010data’s products.
Our modern tech stack builds pipelines using 1010data’s industry-leading big data platform and open-source tools such as Airflow, Spark, and Python to analyze billions of rows of data every day.  In this role, you will work closely with data engineers, product leaders, and client-facing teams as you build new capabilities.
This role is not sponsorable currently or in the foreseeable future.
What you will take on:

Use your curiosity and passion for data to answer complex questions over real-world datasets comprised of billions of rows
Contributing to our estimation of online consumer retail transactions in our Market Intelligence practice
Independently conduct statistical analysis, natural language processing (NLP), and integration of massive datasets from multiple sources including exploratory analysis, identifying and correcting for bias, and answering client inquiries
Conduct proof-of-concept studies to evaluate multiple competing models or forecasts to empirically justify your recommendations for action
Learn and use 1010data’s industry-leading big data platform and Macro Language to build and deploy high performance data pipelines
Communicate your findings, visualize results, and demonstrate your models effectively to broad, non-technical audiences
Design, develop, deploy, and support production-critical pipelines and ML models using 1010data Insight Platform and open-source tools such as Airflow and Spark
You will be based in the US and will be comfortable working remotely with the Data Science, Data Quality, Data Engineering, and Account Management teams

What you already have:

Master’s or bachelor's degree in a quantitative or technical field such as Computer Science, Physics, Mathematics, Econometrics, or Engineering.  PhD is a plus.

3+ years professional experience conducting statistical analysis, building production data science models, and creating insights from data at large scale

Curiosity, clarifying questions, a passion for learning new things, and perseverance in the face of uncertainty
Ability to communicate clearly in meetings and written documents, consider options presented by others, and reach a balanced technical opinion
Proficiency in selecting, implementing and communicating about machine learning methods
Proficiency in writing software (Python preferred) to implement data science algorithms, data quality checks, cross-validation, and parameter tuning
Experience working with parallel processing frameworks like Spark and orchestration frameworks like Airflow

Proficiency in database and software engineering best practices such as query design, version control, unit testing, and deployment methods
Exposure to Docker and Scala are a plus

The expected base salary range for this position is from $130,000 - $145,000 annually. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, geography, and where applicable, certifications obtained. Market and organizational factors are also considered.  In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary annual performance bonus compensation.

About 1010data:
For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and market conditions and rapidly respond with highly targeted strategies. The 1010data Insights Platform combines market intelligence, data management, granular enterprise analytics, and collaboration capabilities to empower better business outcomes. More than 900 of the world’s foremost companies’ partner with 1010data to power smarter decisions.
You can find this on the Company page of 1010data at https://1010data.com/company/
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-remote


Data Scientist Product U S Only

About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

About the Role

We believe that data-driven technology is a critical part of solving the thorny, complex challenges of a broken system.  We are looking for a product-minded Data Scientist with 2-to-3 years of professional experience (academic/internships alone will not qualify), someone who cares about clinical quality, impact, ownership and cross functional collaboration.   You will work closely with Lyra’s Product, Engineering, and Operations team to enhance the Lyra platform to serve the needs of our providers and clients. Some of our product initiatives include facilitating access to care for eligible members, and enriching our suite of self-care options, just to name a few.

*This Data Scientist role can be full-time in our Burlingame, CA headquarters, OR virtually - however, remote candidates must be currently located in the United States).

Core Responsibilities:

As a Data Scientist on this product-facing team, you will...
Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients.
Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey.
Translate data insights into recommendations on business strategy and product roadmaps.
Partner with data engineers to build pipelines that apply clinical logic to raw data.
Complete time-sensitive ad hoc data requests for internal and external stakeholders.

Required Skillsets & Experience:

2-to-3 years of professional, quantitative data analysis experience with a preference for individuals who have experience in product analytics, and have partnered with engineering and product teams in prior roles.  NOTE:  While we do require a minimum of 2 years of professional (non-academic/non-internship) experience to qualify, this is not a Senior-level position.

Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).  Experience applying hypothesis testing in an industry or research setting.
Strong SQL proficiency.  Experience writing complex queries with multiple schemas and tables, and a preference for candidates who have experience creating views.
Solid experience with Python, including cleaning and analyzing data, as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate.
Experience developing comprehensive analyses using irregular data from disparate sources.  Willing to do whatever it takes to clean messy data prior to deriving insights.
Ability to deliver time-sensitive ad-hoc analyses requested by leadership.
Excellent communication skills and experience collaborating across multiple functions
Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).

Preferred Skillsets & Experience:

Interest/prior experience in public health a plus.
Experience with Tableau is a plus.

Diversity & Inclusion

Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own.
People come to Lyra with a range of needs, backgrounds, and abilities that influence their response to mental health support. Our diverse network of providers delivers comprehensive mental health treatment and support rooted in culturally responsive care, a multicultural approach that accounts for the impact of cultural backgrounds on each person’s care experience. Learn more at https://www.lyrahealth.com/diversity-equity-inclusion-belonging/

$114,000 - $157,000 a year
The anticipated annual base salary range for this full-time position is $114,000 - $157,000.  The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may be eligible for discretionary bonuses.

Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
- Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
- Lyra for Lyrians; coaching and therapy services
- Equity in the company through discretionary restricted stock units
- Competitive time off with pay policies including vacation, sick days, and company holidays
- Paid parental leave
- 401K retirement benefits
- Monthly tech stipend
- We like to spread joy throughout the year with well-being perks and activities, surprise swag, free food and snack deliveries each month, regular community celebration…and more!

We can’t wait to meet you.

#LI-REMOTE

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability,  genetic information or any other category protected by law.


Senior Data Scientist Invoices

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Commerce Platform Inventory

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the Inventory team is to empower sellers to reliably balance supply & demand by accurately tracking and merchandising inventory across all channels and locations. As a member of the Inventory team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive platform experience. While reporting to the Commerce Platform Analytics lead, you will help lead the effort to help define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Inventory product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to partners and team leaders in verbal, visual, and written mediaPartner with the broader team to define the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Fraud Risk

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes and controls to root out high-risk fraudulent activity across the Square platform. You will also manage top level Risk KPIs, establish core operational metrics, formulate strategy and implement controls to detect and prevent fraud on the platform. Apart from working on fraud problems that pose a direct financial risk to our Sellers and to Square, this role will also focus on detecting and rooting out abuse of our customer messaging capabilities (e.g. email marketing, invoices, chat etc.) for the purpose of phishing, scams or spam.
You will lead experiments to measure the effectiveness of our strategies. You will partner with product, engineering, risk operations/policy and sales teams to influence Squares global Risk road map and processes. You will define, set targets for and own key metrics around financial fraud and messaging abuse and be responsible for strategies to achieve the targets.
You Will
Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership
Qualifications
5+ years of relevant experience post Bachelors degree (or Masters with 3+ years of relevant experience)Experience with SQL, Python and LookerExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience in risk, trust and safety, payments, or spam/phishing/scam prevention and detection is preferred but not a requirement for the role.
Additional Information
At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, social or health conditions, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Head Of Attribution Science

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as go-to-market channel attribution, investment ROI calculation, merchant value measurement, product behavior analytics, and funnel performance. We achieve this by building remarkable data infrastructure, best-in-class analytics, data science, and machine learning solutions.
We are looking for a senior Data Science leader with deep expertise in data driven attribution (just like you!) to lead efforts in building Square’s next generation attribution system.  This system will be used by the executive leadership team to make strategic go-to-market investment decisions that will shape Square's future.
You will:
Be our in-house expert in data driven attribution to fuel Square’s growth.Build from scratch a suite of data science and machine learning solutions that will make up the core of Square’s next generation attribution system.Partner with executive and senior management from Finance, Marketing, Sales and other go-to-market channels to refine our growth strategy and inform investment decisions with data.Partner with third-party data providers to close the data loop for full funnel attribution.Hire and develop a highly talented team of data scientists, data engineers, and machine learning engineers.Develop efficient processes to ensure the team operates with high velocity, ownership, and self-accountability.
Qualifications
Deep expertise in statistical learning methods for go-to-market attribution and a track record of successfully building from the ground up end-to-end data driven attribution systems which may include algorithmic multi-touch attribution (MTA) and marketing mix models (MMM).12+ years of data science and machine learning experience.5+ years of experience in people management with a track record of building high-performance teams and growing talent.Demonstrated experience collaborating with high-level stakeholders across areas such as Finance, Marketing and Sales.Strong ability to manage stakeholder relationships and foster cross-functional collaboration effectively.Outstanding communication skills, coupled with a proven aptitude for influencing and persuading key decision-makers.
Even better:
Solid understanding of the advertising and martech landscape, including future trends in the evolution of this spaceExperience working in tech or fintech companiesUnderstanding of the B2B landscapeAn advanced degree (M.S. or Ph.D.) in Statistics, Computer Science, Operations Research, or a related technical field
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $245,100 - USD $299,500
Zone B: USD $245,100 - USD $299,500
Zone C: USD $245,100 - USD $299,500
Zone D: USD $245,100 - USD $299,500
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist

VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday.  We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it - people who challenge the status quo and embody our values.  People who say “I’ll find a way” instead of saying “it can’t be done.”
We are looking for a Data Scientist who will be responsible for shaping our company’s data strategy and innovating the $85B digital and linear television advertising market. You are passionate about all things data and tech and have extensive knowledge of the digital space. You are accomplished in the areas of creating new analyses and deriving business-changing insights, and you are ready to support the strategic objectives of a highly cross-functional organization.
WHAT YOU’LL DO:

Your work will have an outsized impact on tools we’re building, forecasting, planning, allocation, and audience behavior prediction
Work with Pb-scale data sets representing the total US video and TV audiences
You will build new and support scaling out existing models in support of audience segmentation
You will work with the data-engineering team to produce ML pipelines and coordinate data models with other engineering teams.
Building Data Models and managing machine learning pipelines

WHAT TO BRING:
2+ years of experience with:

A scripting language like Python.
Rigorous statistics background in applied settings
Applying SQL for projects with measurable outcomes
Ph.D. or MS with relevant experience
A master of all trades mentality and an ability to embrace new challenges regularly
Eager and energized to work with some of the latest open-source technologies

PERKS

Unlimited paid time off each year
Company sponsored health, dental and vision benefits for you and your dependents
Access to state-of-the-art fitness classes and personal trainers to promote your well-being
Partnership with DoorDash for meal deliveries
Employee Advisory Groups / Proactive Social Groups
Pet Care Savings
401k Plan
Referral Bonus
Progressive approach to paid parental leave
Epic personal and professional growth opportunities

ABOUT
VideoAmp is an advertising measurement and optimization platform increasing the value of advertising by redefining how media is valued, bought and sold. Our platform automates advertising workflows, deduplicates audiences across traditional TV, streaming video, digital media and walled gardens and connects media exposures to an advertiser’s sales. By unlocking new value for the entire ecosystem, our platform allows the world’s largest advertisers, agencies and publishers to align on VideoAmp’s independent measurement as a new media currency to transact against.We are transforming a 100-year-old industry by powering a more effective three-way value exchange that results in increasing the return on media investment for advertisers, increasing revenue for publishers and providing a better viewing experience for consumers. Come and join us!
Minimum base salary of $124,000 + Bonus/Commissions + Equity + Benefits. The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.
#LI-Remote