Principal Applied Scientist

The Intelligent Conversation and Communications Cloud AI group applies machine learning to problems in advanced teleconferencing scenarios that are used by hundreds of millions of customers worldwide (via Skype, Skype for Business, and Teams).  We develop fundamental technologies and do applied research and development to enable better customer experiences for real-time collaboration.  We are seeking a highly capable Principal Applied Scientist who is passionate about machine learning and driven to make an impact by developing state-of-the-art new technologies in video compression.
Responsibilities
Apply machine learning to create new machine learning based video codecs
Drive independent investigations resulting in shipping product code, patents, and publications.
Qualifications
Ph.D. in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent Deep knowledge of computer vision, especially in applying DNN’s to vision problems Minimum of 6 years of professional experience in deep learning and using tools like TensorFlow/Pytorch
Strong system development skills, with a long-range system view that leverages development ranging from rapid research prototypes to carefully architected complex systems
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $173,200 - $282,200 per year.Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time. At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid vacation time, paid sick and mental health time, and several paid holidays, among others.
Our commitment to pay equity We are committed to the principle of pay equity – paying employees equitably for substantially similar work. To learn more about pay equity and our other commitments to increase representation and strengthen our culture of inclusion, check out our annual Diversity & Inclusion Report. ( https://www.microsoft.com/en-us/diversity/inside-microsoft/annual-report )
Understanding roles at Microsoft The top of this page displays the role for which the base pay ranges apply – Data Science IC5.The way we define roles includes two things: discipline (the type of work) and career stage (scope and complexity). The career stage has two parts – the first identifies whether the role is a manager (M), an individual contributor (IC), an admin-technician-retail (ATR) job, or an intern. The second part identifies the relative seniority of the role – a higher number (or later letter alphabetically in the case of ATR) indicates greater scope and complexity.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


Senior Data Scientist

Do you want to be on the leading edge of using big data and help drive development decisions for the biggest productivity software on the planet? Office Product Group (office core apps like Word, Excel, PowerPoint, Planner, Forms and more) has embarked on a mission to delight our customers by using data driven engineering to develop compelling products and services. Office is looking for an experienced Data Scientist with a passion for Causal Machine Learning. This role will act as the Tech Lead for Causal ML within Office partnering with both Microsoft Research and the Office of the Chief Economist. Core goals for this role include measure the impact of AI and Premium features across the Office product suite. This Data Scientist will leverage petabytes of data, economic and statistical modeling, and experimentation to quantify user engagement, satisfaction, and growth.
The role involves working with application teams (like Word, Excel, PowerPoint, Project, Planner, OneNote, Teams, and Outlook), other data scientists, data engineers and program managers to continuously improve our understanding of AI and Premium feature usage, retention, and user satisfaction.
We are looking for a strong Senior Data Scientist with a proven track record in data driven decision making. Ideal candidates should be able to identify a business or engineering problem and translate it to a data science problem, dig out sources of data, conduct the analysis and modeling, including solving complex machine learning problems that drive our strategic thinking and product development. They should also be able to work with the PMs and the engineering teams to operationalize the solutions.
Responsibilities
Responsibilities
Core Skills:
Identifies data sources, integrates multiple sources, or types of data, and applies expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data.   Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.  Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.
Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.  Presents findings to product and engineering leadership and incorporates feedback on the analyses.  Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem.   Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.  Works collaboratively with PMs to translate the business needs into metrics and then works with data engineering to implement these metrics including identifying and obtaining the necessary data.
Qualifications
Qualifications
Requirements:
5+ years of industry experience applying statistical modeling, ML or data mining algorithms to real world problems.    2+ years of industry experience applying causal models to real world problems, with a deep understanding of causal inference modeling. Strong proficiency in one or more of the following statistical software: R, SAS, etc.  Strong proficiency in one or more of the following scripting languages: Perl, Python, Scala, or SQL  Solid foundation of statistical modeling and machine learning algorithms and experimental design
Preferred skills:
2 + years working with Spark  Experience with PySpark
The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year.
Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets (see below). The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base pay range will depend on what ultimately is determined to be the candidate’s primary work location. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


Data Scientist

Job Title:            Data Scientist
Job Location:      Hershey, PA
This position is open to 100 % remote.
Summary:
The Enterprise Data Science organization drives value creation for Hershey through development and deployment of innovative and scalable AI & ML solutions. The Data Scientist plays a key role in Hershey’s enterprise data science roadmap, partnering with Hershey business and technology stakeholders to strategize and execute companywide AI & ML initiatives. You will act as a trusted advisor for Hershey business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes.
Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.
Specific Job Responsibilities:
Participate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning
Apply machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems
Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate
Work closely with technology, business, and engineering teams to drive model implementations and adoption of new algorithms
Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies
Consult project leadership to understand projects’ needs/requirements to recommend opportunities and identify gaps to ensure clean and rapid project delivery
Strategic thinker with holistic vison, specific focus on automation of existing processes to drive key business performance
Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers
Minimum Education and Experience Requirements:
Education:
Master’s degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline with a strong focus on use of predictive analytics and optimization
Experience:
1+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning, deep learning and/or optimization models
1+ years of data engineering experience with large-scale data storage processing architectures (Hadoop, SQL, HIVE, Spark/SparkR, etc.)
1+ years of experience working with cloud-based analytical systems (e.g., AWS, Azure, Google Cloud)
Advanced working knowledge and experience with data science and relational/non-relational databases e.g., Teradata, Snowflake, Databricks, Azure Data solutions and Hadoop
Experience with major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras)
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
Ability to communicate complex ideas in a clear, precise, and actionable manner
Experience working in a high performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align to business partner strategy
Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
#LI-CW1


Intern Data Science Summer

Location: Hershey. PA/Remote
Duration: Summer 2023
WHY INFORMATION SERVICES AT HERSHEY?
The Information Services department at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey business. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.
OPPORTUNITIES:
We are looking for a Data Science Intern who will work with the Enterprise Data Science to build strong analytic capabilities.  Applicants must have some exposure to at least two of the following: machine learning, statistical modeling, feature engineering, optimization, exploratory data analysis, data mining and pattern recognition.
RESPONSIBILITIES:
Use machine learning, and advanced statistical techniques to create scalable solutions to business problems
Collaborate with the Enterprise Data Science team to define and quantify business problems, and help them implement appropriate algorithmic solutions
Proactively identify capabilities which should be improved
Partner with Information Services and business stakeholders to drive conversion
QUALIFICATIONS:
Students currently enrolled in graduate programs (Master’s or PhD) with a strong STEM focus (e. Computer Science, Engineering, Economics, Mathematics, Statistics, Psychology -)
Experience with machine learning and big data analytics tools (e.g., Scikit-learn, Keras, TensorFlow, Pandas, NumPy, PySpark), or experience with Operations Research (e.g., linear programming, integer programming, mixed integer programming)
Hands on experience with key programming languages such as Python and other IDE tools like Jupiter Notebook.
Passion for analytical problem solving
Quick learner through formal and self-guided education
Pro-active self-starter with a desire to make an impact
Ability to work in teams or individually
Excellent written and verbal communication skills for coordinating across teams
Exposure to analytical solutions in the cloud (e.g., Azure, AWS, or GCP) a plus


Applied Scientist Intern Rentals Analytics

About the team
Zillow has streamlined the way people search, tour, apply and pay rent for leased properties. Zillow’s rental listings offer our customers all property types, from large-scale multifamily communities, to unique, single family homes. Our team of data specialists focuses on helping our valued partners showcase their properties with impactful end-to-end solutions and consumers discover their next home.
About the role
We are seeking an inquisitive Applied Scientist intern who will help us develop creative solutions to the broad business problems we are solving. Our team is at the forefront of solving everyday problems faced by a wide variety of renters and landlords. With your help, we hope to build methods that allow us to better identify and serve our consumers and their unique needs.
As an intern on you will get to:
Collaborate with Data Scientists, Machine Learning Engineers and Data Engineers to analyze terabytes of data to improve our understanding of how users use Zillow.Efficiently collect and wrangle data in sophisticated formats from diverse sources to derive new insightsBuild interpretable models to predict and explain effects of the real estate market on our Rentals BusinessInteract directly with partners to understand problems first-hand
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.
Who you are
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related fieldInterested in working on innovative solutions to problems in the private real estate space Proficiency in statistics, applied models and forecastingProficient in scientific programming, including data manipulation, modeling, and visualization; Python and SQL strongly preferred.Ability to conduct independent research and apply research methods to real-world problems.Ability to clearly communicate and present results to both technical and non technical audiences.
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.


Senior Data Scientist

#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 300,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, and statistics. We are the mathematical decision scientists for their product development organization and play an active and collaborative role in building and improving the product.
The Impact You’ll Make
As a Data Scientist on our revenue team, you will focus on driving revenue growth and advertiser value through delivering data-driven insights into ads marketplace health, developing bidding/pacing/pricing/delivery optimization models and designing advanced measurement approaches to solve complex ads ecosystem problems. You’ll directly contribute to growing and improving our core ads products, and will help lead us to the future of data and revenue at Nextdoor.
We are looking for an entrepreneurial and driven data science lead to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, sales & finance to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. You will also design and develop ML modeling to improve our ads relevance and intelligence. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through timely execution. You are keen on building a deeper understanding into ML algorithms and advertising system.
Your responsibilities will include:

Design and develop algorithms and models to optimize our ads relevance & customer value
Leverage statistics, time series analysis, machine learning, and natural language processing to extract and represent valuable insights
Develop and share key strategic insights through data analysis, including designing experiments and evaluating the performance and impact of data-driven content
Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, operations, and sales)
Create and optimize statistical models and algorithms to help drive product and strategic decision-making
Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow and succeed

What You’ll Bring To The Team

4+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc
Experience in applied statistics and statistical modeling in at least one statistical software package, preferably R/Python
Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
Deep understanding of ML models and preferably experience in production model deployment
Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
Ability to solve ambiguous business problems with structured analytics framework
Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies

Bonus Points

Experience in Ad Tech and B2B advertising, in particular working with ads optimization and measurement products. Keen understanding of the ads ecosystem

Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $145,000 to $237,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.

We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote


Manager Data Scientist Anti Money Laundering Modeling And Advanced Data Insights

Overview
Center 1 (19052), United States of America, McLean, VirginiaManager, Data Scientist, Anti-Money Laundering Modeling and Advanced Data Insights (Remote-Eligible)
Manager, Data Scientist, Anti-Money Laundering Modeling and Advanced Data Insights
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Anti-Money Laundering Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop ETL data pipelines, predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, R, and Spark and we aim to expand our detection capabilities using sophisticated Natural Language Processing (NLP) algorithms and graph analytics. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild statistical, machine learning, and NLP models through all phases of development, from design through training, evaluation, validation, and implementationUse graph databases and algorithms to identify network patterns, detect activities and/or communities of interest, and generate graph features for use in machine learning modelsFlex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.Statistically-minded. You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Bachelor’s Degree plus 6 years of experience in data analytics, or Master’s Degree plus 4 years of experience in data analytics, or PhD plus 1 year of experience in data analyticsAt least 2 years’ experience in open source programming languages for large scale data analysisAt least 2 years’ experience with machine learningAt least 2 years’ experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years’ experience in Python, Scala, or R for large scale data analysisAt least 4 years’ experience with machine learningAt least 4 years’ experience with SQLExperience with Natural Language Processing (pytorch or TensorFlow)Experience with graph databases and graph querying languages, network analysis, label propagation, or community detection algorithms
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is open to hiring a Remote Employee for this opportunity.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City: $156,595.00 - $184,748.00 for Data Science PhD Colorado: $132,699.00 - $156,555.00 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Location is New York City- $190,950 and $225,278 for Mgr, Data ScienceLocation is Colorado- $161,847 and $190,943 for Mgr, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Manager Data Science Platform

We’re looking for an experienced leader to join our data science org who is excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager for our Platform teams, you’ll work closely with your team, engineering leaders, and the broader data science team to build internal and external facing data products as well as deliver strategic insights that will help Figma continue to scale. The ideal candidate will have deep technical expertise, experience leading a breadth of technical contributors including ML data scientists and data engineers, and know a thing or two about building data products from the ground up.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

Manage, support, and grow a diverse team of data scientists and data engineers embedded in our foundation teams including product performance, infrastructure, and internal tooling

Partner with engineering leadership to set strategy, priorities, and mission for teams and projects

Guide development of new and sophisticated applications of data
Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
Grow your career in an engaged and creative community

We’d love to hear from you if you have:

4+ years of experience managing high-output data science and engineering teams working on internal tooling and ML

Firm knowledge of machine learning and experimentation techniques and tooling

A passion and unwavering commitment to leveraging data to guide product development

A desire to build an inclusive and diverse culture

Experience scaling teams in high-growth environments

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team:

From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values

#LI-LB1


Product Data Scientist Senior And Staff Levels

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.
To learn more about our Hiring Range System, please click this link.
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques.  You have strong interest in honing your technical skills further on real-world data.  You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:

You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.

Your Professional Profile

You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set.  Experience comes in all forms and personal projects count.  We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R.  You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R1691


People Data Scientist Quantitative Psychologist

Hi,
I’m Kim, the Head of Assessments at TestGorilla. We’re a fast-growing HR tech startup that helps teams make better, faster and more objective hiring decisions.
Over the past year, we’ve experienced tremendous growth. More than 8,000 companies have replaced CVs with our assessments to screen candidates in an objective and data-driven way.As we scale our efforts in 2023 and beyond, we’re looking for a People Data Scientist / Quantitative Psychologist who’s passionate about joining our quest to help people land their dream jobs.
What’s in it for you?
Helping shape a fast-growing HR tech startup as an early employeeFully remote position with bright, motivated, and friendly colleagues around the world Competitive salary + share appreciation rights (SARs) commiserate with an early employeeFlexible hours and vacationPaid parental leave Remote working budget: €1,000 per yearLearning and development budget: 3.5% of salary per year
The job in a nutshell
We are looking for open-minded, tech-savvy professionals to assist in the ongoing development of our assessment products. As a People Data Scientist / Quantitative Psychologist, you will work directly with TestGorilla’s core offering: our assessments and test instruments.
You will collaborate with cross-functional teams and interdisciplinary experts around the globe to ensure that our existing and future psychometric and skills-based assessments are robust, fit for purpose, psychometrically sound, empirically grounded, and legally defensible. You will improve and evolve our statistical algorithms and recommendation engine for test reliability, in addition to supporting validation, adverse impact and/or DIF studies. Enhancing and automating relevant tools and methodologies that help develop and maintain reliable, valid, and fair tests will also be a focus.
Bringing both creativity and deep subject matter expertise in psychometric testing, you will help to fine-tune, enhance, scale and accelerate our assessment and test development process. You will also support the expansion into related domains such as exploring new methods and innovations in test development, and ways to generate and capitalize on data-driven insights and analytics.
This is an amazing opportunity to contribute to the innovation and development of talent assessment products within TestGorilla’s portfolio and join the team shaping and creating the future of hiring.
You’ll spend time on the following:
Leading data collection, test and item-level data analysis (classical and IRT), item bank design and analysis, calibration, test scoring and equating, linking, and scaling, standard setting and other relevant psychometric and maintenance activitiesImproving the reliability of our tests using our statistical algorithms, and enhancing these algorithms in collaboration with our software developersContributing to the development of new and enhanced test instruments including cognitive ability, personality and culture, situational judgment, role-specific skills and job skills (e.g. language, software, programming) which may include activities such as:analyzing and interpreting quantitative data and qualitative feedbackdefining and building scoring services and analytic methodsproviding display logic, report and design inputsupporting research, job analysis and validation activitiesproducing robust technical documentationSupporting customized psychometric analyses including validation, adverse impact, differential item functioning (DIF), and item and model fit that ensure compliance with industry standards Collaborating with interdisciplinary and international colleagues including Test Development, Product, Engineering and other teams to analyze and solve problems, contribute insights and best practices and ensure our platform offers a bias-free, compliant and accurate experienceProactively identifying enhancement and automation opportunities including technical, statistical, analytical, data, scoring, documentation or validation aspects to ensure efficient and streamlined delivery and implementing pragmatic solutions that ensure quality, growth, scalability, and are suitable for a production environment handling high-volumes of dataConceptualizing and deploying new approaches, innovations and alternative routes including scoring and assessment insight automation, new test design and modes of administration, and supervised or unsupervised learning modelsKeeping up to date with relevant research and developments, sharing latest thinking and advancements, and providing thought leadership and support internally and externally when needed as a ‘go-to’ expert in your field
Here’s what we are looking for:
You are inspired by our mission to put one billion people in dream jobsYou are fully aligned with our valuesYou are passionate about digital solutions, HR tech and recruitment trends, are eager to revolutionize tests and assessments, combined with proven psychometric assessments You have applied experience in measurement and test theory (classical, IRT, CAT) with knowledge of computer-based test construction and development, databases and item-banking including working with large practical datasets and merging, cleaning and validating large data filesYou have experience in research design and advanced statistical analysis in which you have managed and analyzed both structured and unstructured data and performed validity studiesYou are comfortable using a variety of analytic tools (e.g., Excel, SPSS, SAS, IRT software) and have experience writing syntax/code for data manipulation and statistical analyses using Python, R, or other modern programming languagesYou have experience accessing structured data using MySQL You have advanced knowledge of industry trends and best practices in the areas of computer-based testing, job analysis, psychometric assessment, reporting, and data analysis, for high stakes and volume assessment, and screening and hiring purposesYou have experience summarizing complex technical information and data into compelling stories and communicating to high-level, non-technical audiencesYou are comfortable with and excited by a fast-paced, agile, iterative environment and prefer a degree of ambiguity rather than strict and defined processes You are a creative problem-solver, can anticipate needs and proactively work to accomplish future goals, and have a flexible, positive, can-do attitudeYou make empirically driven decisions, and you are not afraid to challenge the industry status quo or best practicesYou are motivated by new challenges, breaking new ground, dealing with complexity, and you are willing to fail fast or try non-traditional approachesYou have experience successfully delivering in a remote, asynchronous, multicultural work setting and you are comfortable working with a team spread across the globe and in different timezones You are comfortable with the ambiguity and pace of iteration of a hyper-growth HR tech startup
We typically expect candidates with PhD-level understanding in psychometrics, quantitative psychology, I-O/business psychology, educational measurement, statistics, data science or a related discipline to have the skills mentioned above.
Bonus points if…
You have experience working in a SaaS company and a fast-growing startupYou have operated within a corporate, product design/development, consulting or professional services environmentYou have experience with new and emerging technologies in assessment (e.g. FC-IRT, mobile-first, gamification, AI/ML)You have knowledge of EEOC, ADA, GDPR, and other regulatory guidelines and frameworks relevant in our field
About TestGorilla
At TestGorilla, we envision a world where everyone has their dream job. To achieve this, employers and employees need to have the right information about each other.
We started in 2020 by building a screening platform that enables employers to evaluate candidates in the skills that matter most for success in a role. Our product replaces subjective, incomplete, and often inflated CVs with objective, reliable, and fair test results measuring aptitude, practical job skills, motivation, and culture add.
Improving and expanding this platform is currently our core focus, but it’s only the beginning of our journey to get everyone their dream job. Over time, we will launch more products that support this mission.
We have procured $70m in Series A funding from the venture-capital firms Atomico and Balderton Capital, and our growth is on target to continue exponentially. Chances are you’re familiar with some of our biggest customers, like Sony, PepsiCo, H&M, Deloitte, Bain & Company, Oracle, Revolut, and the UK’s National Health Service.
We work remotely, spread across the Americas, Europe, Asia, and Africa.
Interested?
We don’t offer rainbow glitter unicorns or dog-friendly offices (we literally don’t have an office), but we do offer real people, solid core values, and a product meant to give everyone a fair, unbiased chance at their dream jobs.
Here at TestGorilla, we eat our own dog food. We use our assessment platform to make sure we make the best hiring decisions faster and bias-free.
So if this role sounds like a good fit for you, I’d like you to apply by taking this assessment. This will take about an hour and will focus on your soft and hard skills required to succeed in this role. It’s also a great opportunity for you to get to know our product!
If you’re hired, I’ll do everything I can to help you succeed at TestGorilla and throughout the rest of your career!
Contact us
Apply now


Staff Data Scientist

ClassDojo's mission is to give every child on Earth an education they love.
We started by building a network that connects teachers, children, and families. ClassDojo’s flagship app is the #1 communication app connecting K-8 teachers, children, and families, globally. They use it to share what’s happening throughout the day through photos, videos, messages, and activities. It is actively used at an unprecedented scale: in over 95% of US schools, reaching ~51 million children in ~180 countries. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide.
We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with deep backgrounds in education and large scale consumer internet, including Instagram, Netflix, Dropbox, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too.

What you’ll do:
As a staff data scientist you’ll head up a new initiative around creating our first Ecosystem team, enabling ClassDojo to grow from where we are to our next major milestones: reaching 100 million+ families, and $100 million+ in revenue, while deepening love for our brand and continuing to pioneer the future of education.
As a staff data scientist, you’ll partner closely with our co-founders and Head of Product to work on the most important strategic questions that span the company. These questions can range from identifying new revenue opportunities to helping the company figure out how to accelerate growth internationally. But you’ll be the one driving which questions we need to focus on.
As a staff data scientist you’ll also be expected to help create a world class data team by mentoring other data scientists, showing what great data work looks like, and enabling a data driven culture.
You will be a match if:

You have at least 5 years of data science experience.

You might be a good fit if:

You have been working as a senior/staff data scientist for 3+ years and you have 7+ years of experience in data science at a consumer company, ideally with a focus on an ecosystem team/cross company initiatives or an early product launch team
You have experience with mentoring other data scientists (oftentimes them also senior data scientists) and you have experience-based opinions about how a world class data science team should operate and can identify and implement best practices at scale
You are able to take complicated problems and boil them down to their simplest components
You have great business / product judgment
You have the ability to write structured and efficient SQL queries on large data sets
You have experience designing AB/multivariate tests and drawing actionable conclusions
You possess strong written and verbal communication skills
You have a curious mind
You have an inclination to move surprisingly fast

[1] Some more context:
- ClassDojo's 125m Metaverse Mission (Forbes)
- ClassDojo's Second Act Comes with First Profits (TechCrunch) and Sam's note about it.
ClassDojo is committed to a diverse and inclusive workplace. ClassDojo is an equal opportunity employer that does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. ClassDojo will make reasonable accommodations for the known physical and mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship would result. In accordance with applicable local ordinances, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

We are actively building out our Data Science capabilities and are looking for somebody that is incredibly smart, ferociously hard-working, naturally collaborative and wonderfully curious to join us as a Lead Data Scientist. You’d start out working with our Lead Data Scientist understanding our Clients and Company vision. Then, you’d dive in and start working with our Operations team to configure Reporting Dashboards using Data Visualization Software. You will also need to be familiar with SQL and Python. The role will entail learning new tools, languages, and applications which requires a curious mind and an ability to stay self-motivated.  You are responsible for the day-to-day support of the team and Lead Data Scientist.. You will coordinate with clients from time to time. You will also be working with the Lead Data Scientist and the People Team to identify growth and development opportunities for the team members. Build, edit and configure dashboards in Data Visualization Software Report out on process proficiencies and deficiencies Collect data by using a scripting language such as SQL Identify, analyze and interpret trends in complex data sets to drive business decisions Design, develop, implement, and maintain data visualizations Present findings effectively to clients, team members and management Experience in working on scalable cloud-based data science environments such as Google Cloud Platform Leverage proficiency of existing languages and tools required for data analysis including but not limited to: Google Sheets, SQL, Tableau, R and Python Assist in any special projects as needed People Development Identify growth and development opportunities for team members to enable career progression and self-development Monitor and assess team members’ performance, and provide timely feedback through regular coaching through the Employee Discussion Log and Quarterly Performance Appraisals Helps in culture building particularly in embracing our Core Values and exemplifying what a Boldr leader should be Team ManagementMonitor attendance and people concerns of all team members, coordinating closely with the HR Team for disciplinary cases Ensure that team members are properly trained and working consistently to meet client needs Ensure that the team meets company and client-specific KPI targets through product/service training Internal Coordination Work with the People Team to make recommendations for their team member’s career advancement based on their personal aspirations and learning needs Relay consistent issues to Service Delivery Manager in a timely and efficient manner External Communications Be familiar with the client’s key contacts, unique requirements, and operating processes Demonstrate mastery on the company and client’s offerings (i.e. its product and services) Understand, investigate, and solve any complex client requests or complaints Identify opportunities for continuous improvement and scaling growth, in coordination with the Service Delivery Manager  Bachelor's/College Degree in Science, Technology, Engineering or Mathematics Previous experience building Dashboards is a plus Three years of supervisory experience in a related field Intermediate knowledge of cloud-based applications (Google Drive, Google Sheets, Google Docs) and MS Office applications  Excellent verbal and written communication skills An ability to understand and communicate complex ideas to clients Aptitude to quickly learn and navigate new technology, systems, and applications Ability to accept feedback gracefully and with an op15en mind Customer orientation and ability to adapt/respond to customers with diverse backgrounds  Health Insurance  Remotely  Training & Development  HMO on-day-one  Paid Bereavement & Family Leave  Flexitime  Maternity Leave  Paternity Leave  Paid Holidays  Paid Vacation Leave  Paid Sick Leave  Solo/Single Parent Leave  Special Leave Benefits for Women  Mental Health Support


Principal Data Scientist Nlp

With unmatched technology and category-defining innovation, Icertis pushes the boundaries of what’s possible with contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform turns contracts from static documents into strategic advantage by structuring and connecting the critical contract information that defines how an organization runs. Today, the world’s most iconic brands and disruptive innovators trust Icertis to fully realize the intent of their combined 7.5 million+ contracts worth more than $1 trillion, in 40+ languages and 90+ countries.

Who we are:  Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination

The Principal Data Scientist is a detail oriented forward-thinking individual who will utilize data mining, data analysis, machine learning and natural language processing to bring innovation and differentiated capabilities to the Icertis Contract Intelligence. You will be at ease with contemporary machine learning, natural language processing frameworks and quantitative approaches and will be able to critically evaluate and design, build, and support pipelines that can analyze contract document collections at scale. When no suitable approaches are available, you can craft new and innovative machine learning and language processing solutions. Knowledge of enterprise level software architecture and components is a plus though not essential. You will have strong verbal and written communication skills, be effective in interacting with technical and non-technical professionals and be comfortable with team building and working in a team. #LI-REMOTE. This position can work remotely within the US.

What You Will Do:

Evaluate, apply and create machine learning and natural language processing algorithms and solutions to develop the next generation of contract analysis and synthesis capabilities.
Thought leadership and intellectual property.
Partner with business stakeholders to translate business objectives into clearly defined analytical projects.
Own the end-end process, from identifying a problem to implementing the solution.
Manage a small team of highly qualified senior data scientists and data scientists.

What You Will Bring:

15+ years of total experience with 7+ yrs of experience in AI/ML & NLP.
An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP.
You should have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc.
Experience with text mining, parsing, and classification using state-of-the-art techniques.
Experience with information retrieval, Natural Language Processing, Natural Language, Understanding and Neural Language Modeling.
Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.
Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

Base Salary Compensation:
Min $ 244,000
Max $ 366,000

In addition to the base salary an annual target bonus and equity component is included in the compensation package.

What we offer:

We are committed to the health and well-being of all Icertians, their families, the communities they live in, and our customers. This commitment is represented in the Icertis “Four Rings of Responsibility”: Take Care of Self, Take Care of Family, Take Care of Community, and Take Care of Business, in that order.

To support these commitments, Icertis offers excellent health and welfare benefits, a generous 401k match, and a robust paid time off program.  Here are some of the other reasons we’ve been named a  Top Company to Work for by Seattle Business Magazine for the fifth year in a row!

•Equity (RSUs) and shared ownership in the company

•Flexible work location (role dependent)

• Paid maternity and paternity leave

• 7 Days for Humanity in 2023 – paid volunteer days

• Generous holidays including the 4th of July week off – paid

• Extensive remote onboarding program and virtual employee engagement events

This specific role might not be for you, but maybe you have a friend who would be a perfect fit. Please forward this opportunity to anyone who wants to help Transform the Foundation of Commerce!

Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter.

By submitting your application you acknowledge that you have read Icertis’s Privacy Policy (https://www.icertis.com/privacy-statement/)

Icertis is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.


Senior Data Scientist Healthtech

Who we are...
Pearl Health is restoring the independence and joy of practicing medicine for doctors in the United States. Our healthcare system has burdened our doctors with too much process, while removing them from what they do best: caring for those we love most. We launched Pearl Health because we believe primary care providers, armed with the proper tools and resources, can have an outsized impact in achieving high-quality, affordable healthcare. We foresee a shift to an increasingly value-based future where physicians and provider groups will participate in the value they create for the healthcare system and will increasingly require proper tooling, information systems, capital support, and technology to succeed in these models.
We are a team of physicians (Groups), practice-enablement experts (VillageMD, Steward, Stellar), technologists (athenahealth, TrialSpark, Flatiron Health) and health plan leaders (Oscar, Clover, Centivo) who believe that primary care providers (PCPs) are the key to America’s future health.  Today, we support over 100 providers in value-based Medicare models and are on track to substantially increase the Medicare population we will be responsible for managing with our physician partners for 2023 (+$300M of Medicare benchmark risk). Our investors include Andreessen Horowitz and AlleyCorp.
What we hope you can do...
We are seeking a brilliant Data Scientist with a track record of propelling business strategies through analytical insights and algorithmic systems.  Your work will be a core asset of our company, allowing us to more efficiently provide better care to our members and to create novel financial arrangements for each of our aligned physicians.  You should be a strategic and analytical thinker, an effective communicator, an expert in analytical and data infrastructure systems, comfortable working with actuaries on complicated risk analyses, and performing sophisticated modeling exercises independently.  We anticipate that AI, ML, and NLP will be central elements of our product, so you should have a deep familiarity with and passion for these technologies.
What a Data Scientist means to us...

Translate the company’s goals and vision into its strategy and operations by conducting sophisticated quantitative analyses while informing decisions about our infrastructure and approach
Help us change the future of work for doctors in America by applying state of the art technology solutions, including machine learning, natural language processing, and explicable AI - likely in partnership with key external partners.
Experience developing and deploying sophisticated algorithmic approaches to prioritizing patient care in a clinical setting (or comparably sophisticated spaces).
Support all business lines, including sales and business development, by enabling those teams to nimbly make data-driven decisions, balancing competing goals, and making difficult trade-offs when required.
Partner effectively with our Chief Product Officer and Chief Technology Officer toward best-in-class analytics systems to give our physician partners insight into their patient panels.
Support the technology needs of various departments by creating a data-literate ecosystem.

Who you are…

8+ years of experience in performing results-driven quantitative analysis in a collaborative environment.
Degree in statistics, applied math, computer science, engineering or a related field.
SQL expertise and strong foundation in at least one of the main data science programming languages. Python is our current primary language and is preferred.
A proven ability to conduct research and empower data-driven aspects of our product through a mix of internal resources and external vendors, especially in AI, ML and NLP domains.
Experience collaborating with data engineering teams to define needs for an ETL pipeline and familiarity with the most common ETL tools.
Thoughtful collaborator, able to manage multiple demanding stakeholders, assimilate complex information quickly, and scope work in a way that balances deep insight and fast turnaround.
Prior experience working with healthcare data in any part of the industry (payor, provider, pharmacy, etc.); familiarity with population health data is preferred but not essential

Our Values
We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things.
We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment.
Remote Work
We are a remote-first company, with concentrations of team members at our NYC headquarters and in the Boston area.

If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.

Compensation and Benefits
The expected base pay range for this position is between $140,000 and $170,000 per year. Base pay is one component of Pearl's total compensation package, which also includes access to healthcare benefits, a 401(k) plan and company match, possible equity options, and much more. Please visit our benefits page for more information: https://pearlhealth.com/our-benefits/
#LI-Remote


Data Scientist

Data Scientist
thatgamecompany is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park.

We are seeking an experienced Data Scientist to help grow our data practice and contribute to solutions that will make our game better and safer for our community.
On any given day at thatgamecompany, you might:

Comb through large sets of game telemetry data to uncover player relationships, feature-usage patterns, malicious activity, inefficiencies, and areas to improve the player or developer experience.

Help find answers to some of the toughest questions impacting our game, studio, and community by performing analysis and building advanced machine learning models

Give a presentation to help talk through some unintuitive discoveries from one of your data models

We expect you to:

Have deep passion for video games; be a gamer and think on behalf of our players

Be curious, a problem solver and a self starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us

Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

Be able to complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication

Must Haves:

3+ Years of Experience in applied Data Science

Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem

Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering

Experience building and deploying complex and scalable machine learning models in production environments

Experience writing clean, efficient code in Python, R, Java, or Scala

Experience writing optimized SQL Queries to build and analyze datasets

Some exposure to a modern Cloud Platform, preferably GCP

Some knowledge or experience with Big Data Processing Tools

Like BigQuery, Redshift, Snowflake, Spark/Beam, Hadoop

Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it

Eager to learn new skills and always open to jump out of your comfort zone.

Nice to Haves:
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

Experience with Vertex AI or BigQueryML

Experience with Graph Databases or Matchmaking

Experience with 3d event data

Experience with Source Control, CICD, or Infrastructure as Code

Experience in the video gaming industry

Experience in a small company with a startup feel

Interest in technical writing and sharing your work

We look forward to meeting you!


Senior Staff Data Scientist

Want to help us, help others? We’re hiring!
GoFundMe is a global community of over 100 million people with a common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. Since 2010, GoFundMe has become a trusted global leader in online fundraising, with $17 billion raised from over 200 million donations. Our vision is to become the most helpful place in the world.
Join us! The GoFundMe team is searching for our next Senior Staff Data Scientist to join our Data Insights team.
The Job…

Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for various departments across the company
Act as technical leader on the team - identify and disseminate best practices across team in terms of tools, systems, and processes
Create and monitor KPIs and present emerging trends and actionable insights to leadership team
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Develop dashboards and perform ad hoc analysis
Build forecasting and ROI models to project growth for various initiatives to assist with roadmap prioritization
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
Perform light ETLs as needed for the role

You…

10+ years of experience building data analytics and science projects
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
Advanced ability to perform data segmentation and manipulation directly using SQL and Python or R
Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting
Data visualization skills and experience with BI tools (Tableau/Looker)
Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers
Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs a plus
Experience mentoring more junior data scientists/analysts
Master's degree in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas)

Why you’ll love it here...

Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses

A variety of  mental and wellness programs to support employees

Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
Learn more about GoFundMe...
GoFundMe 2022 | Year in Help
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality


Data Scientist

At Stable, you’ll design products that EV charging organizations use to architect tomorrow’s infrastructure.

If that sounds like something you’re passionate about, we welcome you to join our team of diverse problem solvers from across academia and the automotive industry.

Stable Auto is an early-stage, venture-backed company developing the mission control for charging station build-outs. We work to navigate the unknowns, clearing the way to a fully-electric future, faster.

We offer comprehensive health plans including dental and vision coverage, 401k, parental and family leave, and flexible remote work with work-from-home and co-working stipends available.

We are looking for a data scientist to help us build and scale our breakthrough EV infrastructure intelligence platform.

You will help us navigate the complex challenges of building and managing the tools needed to help charging companies deploy millions of EV chargers across the world. The clock is ticking on climate change, and with hundreds of thousands of EV chargers needed in the next few years, Stable's platform will be essential to deploying them smarter and faster.

You are a data scientist but you will have the opportunity to tackle large and varied problems outside of your role as we scale our business.

In This Role You Will:

Work closely with Stable’s data science team to build powerful machine learning models to predict & improve EV charging station performance
Develop and architect data frameworks for model development and performance monitoring
Explore dynamic datasets- craft visualizations of data and elegant ways of communicating complex interactions in simple terms.
Understand customer needs and identify opportunities for innovation
Define evidenced-based recommendations of product features based on your models’ outputs.
Lead the charge. Some decisions are truly marginal, and we trust you to make the best decisions you can. Expect autonomy and full support when you need it.
Shape the future of transportation infrastructure

Your Experience:

Bachelors or Masters in Computer Science, Mathematics, or a related field.
2-3 years of experience in machine learning or data science.
Familiarity with Python, Tensorflow, RESTful APIs, Google Cloud, AWS, SQL, CI/CD.

Some experience in visualizing geospatial data.
You are able to make sense of nebulous problems, develop innovative solutions, and communicate those solutions in ways that are easy for others to understand.
Naturally curious and excited to tackle hard problems.
Excited to work in a fast-paced, early-stage startup environment working to clear a path for all-electric transportation.
Bonus if you have prior experience in transportation, urban systems, electrical grids, or other related domains that take care of large spatial datasets.

What will make you successful at Stable

You have a passion for electrification and practical experience in the field
Your inner problem-solver is ignited by the gnarliest challenges
You can quickly iterate, navigate uncertainty, and identify when things are not working
You’re a natural translator — able to communicate complex ideas simply
You’re a kind, humble, generous collaborator

Does this sound like you? If so, we’d love to hear from you.

Our goal is to build an inclusive working environment where all people feel equally valued and respected. Whatever your gender identity, religion, ethnicity, age, nationality, sexual orientation, marital status, veteran status, socio-economic standing, disability status, or anything else that makes you special - we value it! We are an equal opportunity employer, and we’d love to see what you might add to our team.


Applied Scientist Inference And Metrics

Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference.

Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and creative solutions to problems. We enable all new team members to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor, and team. At the end of the day, we’re all about helping our users, growing as engineers and scientists, and having fun in a collaborative environment.

Sound exciting? Keep reading.

We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

Where You Come In:

Identify and own challenging problems, form testable hypotheses, and drive significant business impact
Lead the design and analysis of experiments or development of causal and predictive models to test your ideas
Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams
Communicate your conclusions to technical and non-technical audiences alike
Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events
Productionize and automate model pipelines within Python services

What it Takes to Succeed:

Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.)
Experience with predictive modeling/machine learning, forecasting, or causal inference
A degree in a quantitative discipline such as Computer Science, Statistics, Econometrics, Applied Math, etc., or equivalent experience
A love for writing beautiful code; you don’t need to be an expert, but experience is a plus and we’ll expect you to learn on the job
A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal
The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value
Comfortable working in a Unix environment

#LI-Remote

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Data Scientist

Altoida, Inc is making brain health smart and personal. Our innovative approach combines novel digital biomarkers (dBM) with immersive augmented reality (AR) and powerful artificial intelligence (AI). The result is a brain health platform built on more than 20 years of cutting-edge scientific research.  Our products are backed by peer-reviewed publications and multinational clinical trials and are built by our passionate team of scientists, clinicians, and engineers.

Our Altoida family is united by 5 core principles:
1. We are data-first: data isn’t a buzzword to us, it’s at the core of our technology and in the DNA of our decision-making processes.
2. We are relentless: we know the impact our work will have on the world and are in pursuit of extremely lofty goals - we don't settle at “good enough.”
3. We are innovative: Our founders, executives, and early team members are united by a love of thinking differently and seeing groundbreaking ideas come to life.
4. We are thoughtful: From the way we treat each other to the way we unpack tough problems, we are considerate, respectful, and holistic.
5. We are adaptive: In a high-tech world, nothing is set in stone - we recognize and embrace that in our strategy and culture.

About the Role

We are looking for a Data Scientist to join our data science team on a permanent basis. As a data scientist, you will be helping to improve Altoida’s machine learning models using your knowledge of statistics, Neural Networks, and Bayesian Inference. Upcoming projects you will be working on are speech analysis, genetic analysis, and optimizing test sequences using Bayesian inference. #LI-Remote

Responsibilities

Collaborate with the data science team to continuously improve Altoida’s machine-learning models using your understanding of the problem domain
Envision, implement, and evaluate new features and approaches to help improve Altoida’s machine-learning models
Lead the implementation of methods for new feature domains such as speech analysis
Translate data science requests from clients into novel classification models and statistics
Use state-of-the-art methods to validate newly developed models and procedures
Communicate with the clients and sales teams about Altoida’s data science offerings
Monitor incoming data to meet Altoida’s quality requirements
Review merge requests in data science repositories.
Assist in writing reports, publications, and patent applications
Look for opportunities to improve the current processes and implement best practices from the industry

Preferred Qualifications

Master's degree in data science, machine learning, artificial intelligence, operations research, or an equivalent field
3+ years of industry experience in the field of data science or machine learning
3+ years of industry experience in python programming
Strong knowledge of tools like scikit-learn and TensorFlow
A thorough understanding of neural networks, Bayesian networks, ensemble learning, feature engineering, and feature selection methods
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with their potential applications
Previous experience with voice analytics and time series analysis is a plus.

About You

You work independently and proactively
You have a positive attitude
You are not afraid to voice your opinion
You produce positive results in a high-pressure environment
You prioritize tasks and complete assignments in a thorough and competent manner
You recognize areas to increase efficiency and contribute solutions
You are sensitive to the client’s needs and can develop warm client relationships
You have proficient oral and written communication skills and enjoy working in a team environment
You get excited about statistics, machine learning, and software development.
You have a master's degree in data science, statistics, biostatistics, machine learning, artificial intelligence, or an equivalent technical research-based field. A Ph.D. is a bonus.

Compensation
We offer competitive total rewards compensation. Our commitment to our employees includes benefit programs that are comprehensive, diverse, and designed to meet the various needs across our employee population. Throughout our global footprint and various business units, we take a balanced approach to the benefits we offer. Many benefits are company-paid, while others are available through employee contributions. Specific benefit offerings may vary by location, position, and/or business unit.

The full-time salary range is commensurate with experience.

Benefits
- 401(k) with matching
- Dental insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Life insurance
- Paid time off
- Vision insurance

Location
Altoida’s US headquarters is located in Washington, DC. The position is remote eligible, with minor travel expected.

Equal Opportunity
Altoida does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Altoida is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.