Staff Data Scientist Algorithms Support Products

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. Customer Support (CS) aims to build the world’s most loyal travel community through exceptional service. And AI has been and will continue to be the key to unlock timely, reliable, and empathetic solutions at scale.
As a Data Scientist working on Algorithms, CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to build scalable and robust systems to detect, mediate, and solve issues across a wide spectrum. You will be able to create meaningful impact through deep scientific understanding and interventions for Airbnb CS’s most critical challenges.
The Difference You Will Make:
For this role, we’re seeking an NLP expert to join the Customer Support Data Science team, and have a direct opportunity to contribute, influence, and lead in the CS x AI space by designing scalable scientific solutions for problems like:
Detect intents across various entry points with large scale unstructured data using NLP methods
Generate most helpful self-solve contents in line with Airbnb policy leveraging generative AI to automate low-complexity issues
Route high-complexity issues to agents with personalized strategy, incorporating user history and agent performance
Summarize customer journey and conversations with foundational or fine tuned large language models (LLM) to assist CS agents
Collect evidence from images and receipts to gauge monetary value of the request leveraging computer vision
A Typical Day:
Identify high impact business opportunities through data exploration and model prototype, translate business problem into scientific formulations
Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for machine learning models, drive scientific decisions, and quantify impact
Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data
Build reusable, high-performing, scalable machine learning models with internal paved path tooling, incorporating third-party information and state-of-the-art innovations
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Publish externally and engage with the scientific community to advance Airbnb’s standing
Your Expertise:
9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse
Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
Comfort to collaborate with software engineers to understand complex systems and abstracted logs
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
Benefits:
Stock
Competitive salaries
Quarterly employee travel coupon
Paid time off
Medical, dental, & vision insurance
Life insurance and disability benefits
Fitness Discounts
401K
Flexible Spending Accounts
Apple equipment
Commuter Subsidies
Community Involvement (4 hours per month to give back to the community)
Company sponsored tech talks and happy hours
Much more…
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $200,000 - $254,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in  states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously  evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$185,000—$245,000 USD
Apply now


Sr Staff Tech Lead Core Ml Data Science

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The mission of the Core Data Science team is to ensure that we are leveraging state of the art science at Airbnb for the highest possible impact on the business and the community. We do that by building reusable models and features that empower every DS team in the company; and by tackling the most technically challenging, high impact data science problems the company faces.
As a Tech Lead for the team's machine learning work you will be responsible for driving specific projects, setting technical strategy for the team's ML work and empowering more junior members of the team. The role requires partnering with engineers, product managers and other data scientists across the org, and a successful candidate will be able to influence these technical and non-technical partners in order to achieve the best outcome for Airbnb and its customers.
A key to success in this role will be to proactively search out opportunities for innovation across data science. Airbnb has a rich set of problems where technical innovation can have high returns. We've identified many of those, but we expect the right candidates to continue this process.
Some of the challenges you will face include:
Developing integrated trust and risk signals (e.g. embeddings, clustering) that be be leveraged across multiple defenses
Finding opportunities for step changes in model architecture -- e.g. leveraging Graph Neural Networks for applications with Trust, Payments and CS
Development of NLP-derived signals to use across the company
Utilizing Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences, or how can we detect anomalies effectively
Devising optimization models to make optimal business decisions while minimizing risk
Innovating modeling frameworks in this adversarial setup, e.g., how can models collaboratively surface more risks, or how can models adapt to emerging patterns quickly.
Here are example traits we value:
Advanced degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics
9+ years industry experience
Experience taking research prototypes to production.
Proven ability to design analytical solutions to complex business problems and to partner cross-functional peers to tailor those solutions for the greatest possible impact.
Deep understanding of ML domains (e.g. NLP, computer vision, recommendation, anomaly detection, graph learning), algorithms (eg. deep learning, gradient boosted trees, optimization), and best practices, (e.g. skew minimization, A/B testing, feature engineering, model selection)
Strong programming (Python / Scala / Java / C++ or equivalent) and data engineering skills
Utilize OSS ML technologies such as PyTorch, TensorFlow, Spark, Airflow
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. . This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application,, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$220,000—$270,000 USD
Apply now


Principal Machine Learning Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Atlassian is looking for a remote Principal Machine Learning Scientist to join our Core Machine Learning team. The Core Machine Learning team builds and deploys ML modeling solutions to increase revenue generation, expand our active user base and enhance internal productivity and efficiency. This is a unique opportunity to work in a collaborative environment and implement the latest machine learning techniques, including LLM (large language models).
Your future team
The Core Machine Learning team sits within the Data Science group in the Atlassian Corporate Engineering Organization. We work with several business teams in GTM, growth, product, and many other teams providing machine learning infrastructure and modeling applications. Our team consists of ML scientists and engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. The team is split geographically between the US and Australia, supporting partners across the regions.
You will report to the Core Machine Learning Senior Manager.
What you'll do
As a Principal Machine Learning Scientist, you will lead the development of advanced machine learning algorithms, collaborating with business partners, engineering, and analytics teams to personalize the customer buyer journey across several touch points which include paid ads, SEO content, web pages and in-product experiences.You will lead Generative AI projects aimed at improving customer conversion funnels, streamlining content and creative creation processes, and developing self-serve tooling to empower Atlassian with valuable data insights.Explain data science concepts to non-technical, diverse audiences and create a compelling story.Be a tech lead for more junior Machine Learning Scientists, providing technical guidance.
Your background
Master and above degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)5+ years of related industry experience in the machine learning domainExpertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience building and scaling machine learning models in business applications using large amounts of dataExperience building NLP related applicationsFocus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"Agile development mindset, appreciating the benefit of constant iteration and improvement


Principal Data Scientist

Together we are powering the future of Higher Education
Here at Ellucian, we are motivated by a mission ~ the power of education to transform lives and change the world.  We are the global market leader in EdTech for Higher Education, serving more than 2,900 customers and reaching over 26 million students in 50+ countries.  We are dedicated to helping Higher Ed thrive by transforming their institutions to agile, digitally connected campuses that enable student success.
About the Opportunity
As the Principal Data Scientist, you will accelerate Ellucian's efforts to apply modern machine learning and predictive analytics to the challenges facing higher education institutions around the world.  You will help shape Ellucian's next generation platform and ethical oversight that harnesses large scale data sets from Ellucian customers to help them efficiently achieve the best possible student outcomes.
Where you will make an impact
Evangelize the opportunities and benefits of using machine learning in Higher Ed to leaders at Higher Ed institutions around the world. Collaborate with internal product, marketing, and sales leaders to shape and amplify this message.
Educate and partner with internal stakeholders to shape strategy and governance around the expanded use of AI/ML throughout our products.
Collaborate with multiple product teams to understand the needs of customers in domains (student, financial aid, etc) that can be accelerated with AI/ML or predictive analytics. Understand their strengths and opportunities related to customer data.  Build POCs to support these use cases and assist various product teams with productization. Create frameworks, best practices, and training to ensure teams are successful at productizing these models.  Projects may include:

Predictive statistical models for areas such as student enrollment, student success, student wellness, donor giving, and job market trends
Natural language business intelligence capabilities leveraging LLMs
Benchmarking tools to enable institutions to quantify and analyze their performance relative to similar institutions

What you will bring
10+ years related work experience developing, designing and architecting enterprise-scale solutions
5+ years related work experience with data science and AI/ML
Experience evangelizing and implementing common architectural patterns, design patterns and best practices related to data science, AI, and machine learning in a multi-tenant SaaS environment
Passionate advocate for innovation and the ethical use of AI/ML and it's ability to transform higher education
Ability to bridge gaps across business areas, operational business units, infrastructure team, and development teams
Excellent interpersonal and communication skills. Comfortable presenting to technical and non-technical audiences both internally and with clients and business partners.
Ability to rapidly learn new technologies and practices, mentor and coach others and foster a culture of innovation
Demonstrated ability of strategic planning and tactical execution
Results oriented with relentless focus on successful customer adoption of innovative capabilities
Desired Skills/Knowledge/Experience
Strong expertise in machine learning, statistical modeling, and predictive analytics.
Experience in designing and implementing end-to-end machine learning pipelines, including data preparation, feature engineering, model selection, training, evaluation, and deployment.
Understanding of the associated ethical and privacy risks associated and experience shaping solutions accordingly
Deep understanding of common machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, reinforcement learning, and natural language processing.
Proficiency in Python, SQL, and JavaScript, and familiarity with relevant libraries and frameworks, such as scikit-learn, TensorFlow, PyTorch, Spark, and LangChain.
Experience working with large and complex data sets, both structured and unstructured, and knowledge of data management best practices, such as data governance, data quality, data security, and data privacy.
Familiarity with AWS and ability to leverage cloud services for scalable and cost-effective data processing, storage, and analysis.
Proficiency with tools such as SageMaker, AutoML to accelerate machine learning
Knowledge of (or passion to learn about) the higher education domain and the challenges and opportunities facing institutions, such as student enrollment, financial aid, student success, student wellness, and fundraising.
What makes #Ellucianlife
Comprehensive health coverage: medical, dental, and vision
Flexible time off
Thrive Flex Program that allows you to contribute towards your health, financial or learning interests
401k w/ match & Bright Plan - to help you save for the future
Maternity & Paternity Leave
Charitable leave – 40 hours/year
Telemedicine
Wellness

Ginger (mental health)
Wellbeats (virtual fitness classes)

Rethink & Wellthy– caregiver support
Diversity and inclusion programs which provide access to internal employee resource groups
Tuition Reimbursement Assistance
Professional development opportunities
#LI-PB1
#LI-remote


Senior Data Scientist Red Platform

What You'll Do
Research state of the art of machine learning, statistical modeling and optimization technologies, and its applications in digital marketing, digital media and e-commerce.
Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proof of concepts, prototypes, and minimum viable products.
Initiate and lead the execution of data science research and product development projects often with a cross-functional, multi-disciplinary team. Collaborate with stakeholders to drive decisions.
Manage the created solutions end to end, from research to development, testing and deployment.
Act as an effective technical liaison to the business leaders. Works effectively across business, creative, and engineering groups to solve problems. Helps build a positive culture across technical and business teams.
Mentor and/or manage junior members on the team and serve as a subject matter of expertise of data science internally. Contribute to the cross-organization technology strategy and roadmap for data science.
What We're Looking For
4+ year professional experience as a data scientist and a MS or PhD degree in STEM with specialization in machine learning, statistical modeling or optimization
Expert knowledge of machine learning, statistical modeling and optimization, with expertise and experience in at least one of the following areas: marketing channel optimization, recommender systems, NLP, deep learning and reinforcement learning
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to create value for consumers and business, proven track record of advancing research ideas into production
Proficiency in one or multiple data science programming languages such as R, Python and Spark (Python preferred)
Capability of communicating effectively with business and data science leaders on project status, timeline and technical results
Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time
Capability of translating business opportunities into data science problems and defining the right project scope and performance metric to measure success
Must be comfortable with unstructured, fast moving and constantly evolving high growth environment
Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them
Applied experience with machine learning and optimization on large datasets; expertise in developing data science solutions at scale using distributed computing and cloud resources is a plus.
Compensation
Cash Compensation Range: $100,000-185,000* *Note actual salary is based on geographic location, qualifications, and experience.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
If you are based in California, we encourage you to read this important information for California residents linked here.
#LI-KS1 #LI-REMOTE


Principal Data Scientist Causal Inference Cnet Group

What You'll Do
Develop and implement state-of-the-art causal inference techniques to measure the impact of marketing campaigns on business outcomes.
Analyze large and complex datasets to identify causal relationships between marketing campaigns and business outcomes.
Build and deploy machine learning models to optimize marketing strategies and improve business outcomes.
Work closely with cross-functional teams including marketing, product, and analytics to develop insights and recommendations based on data analysis.
Communicate findings and insights to key stakeholders through clear and compelling data visualizations and presentations.
Collaborate with data engineers to develop and maintain data pipelines and infrastructure necessary for data analysis and model deployment.
Stay up-to-date with the latest advancements in causal inference techniques and contribute to the development of new methodologies and/or tooling to optimize and drive performance.
What We're Looking For
A PhD,  Masters, or equivalent years of experience in a quantitative field such as statistics, mathematics, computer science, economics or related field.
Extensive experience with various causal inference methods such as double/debiased machine learning, instrumental variables, and synthetic control methods.
Proven experience applying causal inference techniques in a marketing setting.
Strong proficiency in machine learning techniques and programming languages such as Python or R.
Experience deploying ML models using APIs
Strong communication skills and ability to communicate complex data insights to non-technical stakeholders.
Ability to work independently and as part of a cross-functional team in a fast-paced and dynamic environment.
Strong problem-solving skills and ability to think creatively to identify new opportunities for business growth.
Committed team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them
Compensation
Cash Compensation Range: $200,000- $250,000*Note actual salary is based on geographic location, qualifications, and experience.
This position is not eligible for visa sponsorship.
Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.
If you are based in California, we encourage you to read this important information for California residents linked here.
#LI-TL1
#LI-CNET


Machine Learning Researcher Phd

We’re looking for engineers with a background in machine learning & artificial intelligence to improve our products and build new capabilities. You'll be driving fundamental and applied research in this area. You’ll be combining industry best practices and a first-principles approach to design and build ML models and infrastructure that will improve Figma’s design and collaboration tool.

What you’ll do at Figma:

Drive fundamental and applied research in ML/AI, with Figma product use cases in mind

Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current models as well as enable the launch of entirely new AI-powered product features

Work in concert with other ML researchers, as well as product and infrastructure engineers to productionize new models and systems to power features in Figma’s design and collaboration tool

Explore the boundaries of what is possible with the current technology set and experiment with novel ideas

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

Recently obtained a PhD or equivalent experience in an industry research role in AI, Computer Science or a related field

Demonstrated expertise in machine learning with publication record in relevant conferences, or a track record in applying machine learning techniques to products

Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow)

Experience building systems based on deep learning, natural language processing, computer vision, and/or generative models

Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward

Experience communicating and working across functions to drive solutions.

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

Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion
Figma's Musical!
The Future of Design Systems is Automated

#LI-CC1


Staff Data Scientist


Lead Data Scientist Pricing

About the Role

Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to shape the vision and implementation of our 2-sided marketplace pricing strategy using state-of- the-art machine learning infrastructure and big data processing tools.

What you’ll do

Leading and developing a best-in-class data science pricing program

Creating a strategic pricing vision and develop initiatives aimed to accomplish the vision

Building productive and efficient relationships with stakeholders across marketing, data/analytics,
product, and finance

Creating mathematical and data driven solutions for difficult pricing problems at scale

Developing, maintaining, and monitoring the performance of production quality code

Learning the complex Angi ecosystem and historical pricing paradigms in order to be a subject matter
expert on the data, analysis, and modeling

Who you are

Master’s degree in Statistics, Applied Mathematics, Economics or similar quantitative field and/or 7+ years of experience in:

Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning

Proven record of working closely with senior leadership

Experience with price elasticity, pricing strategy, and pricing in a 2 sided marketplace

Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver
transformation through data

Developing predictive models and analysis using R and/or Python

Interacting with data using SQL

Excellent verbal and written communications skills

We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits:

The salary band for this position ranges from $175,000-$230,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living.

This position will be eligible for a competitive year end performance bonus & equity package.

Full medical, dental, vision package to fit your needs

Flexible vacation policy; work hard and take time when you need it

Pet discount plans & retirement plan with company match (401K)

The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

#LI-Hybrid


Staff Researcher Machine Learning

GitHub is looking for a Staff Researcher to join GitHub Next.
GitHub Next is Github’s advanced R&D team, tasked with building the future of software development.  We created GitHub Copilot, the first large-scale application of LLMs, and we want to continue leveraging the power of machine learning to revolutionize GitHub and hence the world-wide community of developers and creators who rely on it for their daily work.
You will be working with other members of Next as well as colleagues from elsewhere in GitHub and Microsoft on providing machine learning solutions to these challenges. Our projects range from creating entirely new products like GitHub Copilot to integrating new ML-powered capabilities into existing GitHub surfaces, such as Copilot for Pull Requests.  The common thread is that our projects exist at the intersection of research and practice.
Responsibilities:

Participate in projects to integrate machine learning into developer tools.
Apply pretrained models to solve problems for software developers.
Conceive, design, train and deploy machine learning models.
Contribute to the day-to-day running of Next: participate in our reading group, interviewing new candidates, and disseminating research results.

Required Qualifications:

Strong coding skills and coding experience
Practical experience in machine learning development, deployment, and optimization with evidence of successful project completion in industry or academia
Demonstrated interest and experience in developing and improving developer tooling, such as libraries, frameworks, and IDEs

Preferred Qualifications:

Experience in training and deploying large language models (LLMs) with advanced techniques such as transfer learning, attention mechanisms, and regularization
M.S. or Ph.D. in Computer Science or a related field with relevant coursework and research experience in machine learning
One or more publications in top machine learning and/or natural language processing conferences, such as ICML, NeurIPS, ACL, etc.
Demonstrated interest and experience in developing and improving developer tooling, such as libraries, frameworks, and IDEs

Location: In this role, you can work remotely from anywhere in the United Kingdom or onsite in GitHub’s Oxford office.
#LI-Remote


Vp Data

Company Overview:
Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctor's office. Founded in August 2019, we are committed to eliminating wasteful friction patients and doctors experienced in areas with nothing to do with health and treatment. To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved so that patients and doctors can focus on health, rather than payment or administrative hassles.
Opportunity Overview:
The technology group at Cohere Health has experienced rapid growth over the past three years. Each year, the team has doubled in size, and the group has grown from a small, tight-knit team to a large, diverse group of engineers and data scientists. We are seeking a leader to consolidate data engineering, data management, data science, and machine learning. The leader will foster greater cohesion between the functions and expand their capacity and capabilities to face the ambitious goal of eliminating unnecessary administrative burden from the US healthcare system.
Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
What you will do:

Lead the data engineering, data management, data science, and machine learning teams
Execute a continual planning process that delivers dependable results
Foster a culture of curiosity and discovery
Develop an organizational obsession with delivering high-quality data insights efficiently and effectively.
Collaborate with cross-functional teams, including product, design, and operations so that the company's data asset delivers outsized returns.
Manage and foster both formal and informal talent development activities.
Above all, strengthen the existing culture to make Cohere Health an employer of choice for top talent.

Your background and characteristics:

PhD or Master's degree in quantitative science or data engineering, or a related field
A minimum of 10 years of experience in data science, with at least 5 years of experience in a leadership role
Strong experience with iterative delivery methodologies such as Agile or Scrum applied to data science or machine learning teams.
Familiarity with R, Python, PyTorch, MLFLow, Spark, cluster technologies such as Kubernetes and EMR.
At least 5 years experience with healthcare or payer technology
The ideal candidate will have a proven track record of building and leading teams in a high growth environment.

We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

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#BI-Remote


Data Scientist

About Zipline
Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building, manufacturing and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda’s national blood delivery network and Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, to enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it. Through our technology that includes robotics and autonomy, we are decarbonizing delivery, decreasing road congestion, and reducing fossil fuel consumption and air pollution, while providing equitable access to billions of people and building a more resilient global supply chain.

Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.
About You and The Role
We are looking for a highly skilled data scientist to join our growing Data team. As a key member of the Data team, you will be primarily responsible for designing algorithms that improve operational efficiency. In this role, you’ll work cross-functionally with members of our Operations, Engineering, and Data teams to identify opportunities, brainstorm solutions, and implement production-quality algorithms. The ideal candidate is excited about solving ML, optimization, and causal inference problems and partnering with our Engineering teams to deploy your solutions in our software. You'll tackle exciting challenges like designing algorithms to optimize aircraft allocation at our various distribution centers and improve on-time delivery rates for incoming orders. Secondary responsibilities include analyzing data produced by our hardware devices and contributing to our internal data science libraries to help teams across the company. Your work will enable the entire organization to make more informed decisions, innovate faster, and serve our customers better.
What You'll Do

Partner with engineers, product managers, and business partners to identify algorithmic problems, brainstorm possible approaches, and recommend the best path forward.
Develop algorithms iteratively, building in the right level of complexity to solve the business problem at hand and support future improvements.
Define success criteria for your models so that you can measure impact and changes over time. You’ll be expected to communicate findings and drive continuous improvements.
Collaborate with Software Engineers to implement algorithms in production that scale gracefully.
Collaborate with stakeholders to prioritize projects and define requirements.
Carry out analysis on data produced by our hardware systems and create insightful visualizations to share your findings.
Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.

What You'll Bring

Advanced proficiency with Python and libraries commonly used for data analysis, e.g., Pandas, NumPy, SciPy, and Matplotlib.
Strong understanding of data modeling and statistical analysis.
Knowledge of optimization and predictive modeling techniques and experience applying them to real-world problems.
Skilled at translating a general question or problem into a clearly defined algorithmic solution.
Ability to communicate clearly with both technical and non-technical audiences.
Ability to work independently and manage multiple projects simultaneously.

Nice to haves:

Experience with Databricks or PySpark
Experience with productionizing data models

What Else You Need to Know
Location: This is a remote friendly role, but you do have the option to come into our South San Francisco office if you’re based in the Bay Area. If you are full-time remote, you must be able to travel to our headquarters in South San Francisco to work with stakeholders periodically (1-2 times per quarter, at most).
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!
Please Note
We have received reports stating that certain individuals are reaching out to people under false pretenses, claiming to be Zipline employees, affiliates, agents, or representatives. They may seek to gain access to your personal information or to acquire money from you by offering fictitious employment opportunities or by claiming that they are contacting you on Zipline’s behalf.
Genuine Zipline employees or representatives will never ask you for money or payment in exchange for employment opportunities or other related services. Any such offer of employment or any other service in exchange for fees that claims to be from us is deceitful and part of a fraud.
If you believe you have been targeted by a fraudulent party, we ask that you immediately get in touch with us via email at security@flyzipline.com upon receiving a suspicious offer or claim.


Data Scientist Forest Ecosystems

About the Role:
We are looking for a passionate data scientist to join the Forest Ecosystems engineering team. We are on a mission to map, measure, and monitor the world’s forests using high resolution satellite imagery. Our team works with multi-sensor earth observations data, developing workflows that integrate measurements from Planet’s unique constellation with public data sources, including multispectral, LiDAR, and SAR data. We are developing object detection models to identify and count individual trees in high resolution imagery. This work will span spatial and organismal scales, counting both recently planted saplings and mature standing trees from sites around the world. You will contribute by developing consistent, scalable, and science-based instance segmentation methods using sub-meter satellite imagery. As a member of this team, you will have the opportunity to work with an experienced team of scientists and engineers, experiment with deploying your models at scale, and iterate with feedback from users and stakeholders. We are a small and growing team, with a highly collaborative culture, distributed remotely across USA and Canada.
Impact You’ll Own:

Develop novel methods to count and delineate trees in satellite imagery
Collaborate with the team to iteratively build and test our suite of forest-related data products with end users, who are often focused on conservation and restoration
Implement models as efficient python code that can be deployed at scale
Document and organize your work to be transparent and repeatable
Write external documentation, white papers and occasionally research papers

What You Bring:

PhD in forest ecology, environmental science, forestry or related
Solid understanding of machine learning or image analysis
Research or professional experience deriving tree attributes from sensor data
Fluency with geospatial technologies in python (e.g. GDAL, rasterio, shapely, etc)
Proficiency with Python in a Linux environment
Experience with version control and Git
Excellent technical communication and documentation skills

What Makes You Stand Out:

Experience training and deploying deep learning models
Experience with cloud compute and storage

Benefits While Working at Planet:

Comprehensive Health Plan
Wellness program and onsite massages in specific offices
Flexible Time Off
Recognition Programs
Commuter Benefits
Learning and Tuition Reimbursement
Parental Leave
Offsites and Happy Hours
Volunteering Benefits

#LI-REMOTE


Manager Machine Learning

The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of research scientists, data scientists, and machine learning engineers who build and enable our core production models. The fundamental goal of the Machine Learning team is to explore new models and new data sets that can improve the accuracy of our models. With this goal comes near-limitless challenges to tackle, and that is one of the reasons why Upstart is such a unique opportunity.
The macro, metrics, and monitoring team, a part of Upstart machine learning’s personal loan underwriting team, is focused on monitoring and improving the performance of our underwriting models, particularly with respect to portfolio- and macro-level, rather than loan-level, performance.  The team researches improvements to underwriting, including time-series portfolio-level predictions, adjustments to machine learning underwriting models to improve.  The team also builds portfolio management models, researchers model performance metrics, and builds dashboards and reports on underwriting model performance.
As a Manager of Machine Learning, you will lead the macro, metrics, and monitoring team, managing data scientists and research scientists.  We are also open to hiring an analytics-focused manager for the data scientists on the team.  The manager will be directly responsible for ensuring Upstart’s personal loan underwriting models are originating loans that will achieve our lending partner’s target rates of return.
Position location: This position is available in the following locations: San Mateo, California; Columbus, Ohio; Austin, TX; or Remote USA
Time zone requirements: The team operates on the East/West coast time zones.
Travel requirements: This team has regular onsite collaboration sessions. These occur X days per Quarter at the San Mateo or Columbus offices. If you need to travel to make these meetups, Upstart will cover all travel related expenses.
How you’ll make an impact:

Lead small team of data scientist in building next-generation ML model monitoring framework
Apply knowledge of ML models to model risk monitoring to evaluate the impact of our models on our business and customers
Building dashboards to identify and remediate anomalies of model behavior in production
Improving and implementing automated model monitoring capabilities
Building automated model reporting and drift detection capabilities
Designing metrics and reports
Stay up-to-date with the latest developments in machine learning, risk monitoring, and artificial intelligence, and incorporate new techniques and best practices into our model monitoring processes.

Minimum qualifications:

Bachelor’s degree in quantitative area of study
1+ years as a data science or machine learning people manager or tech lead
Understanding of machine learning models and statistical methods
Coding proficiency, preferably in Python
Excellent quantitative critical thinking skills

Preferred qualifications:

Advanced degree in quantitative area of study such as statistics, operations research, finance, mathematics, or related field
Prior experience with dashboarding and ETLs is a plus
Consumer lending knowledge and/or experience within an ML-centric technology company is a plus

What you'll love:

Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
Employee Stock Purchase Plan (ESPP)
Life and disability insurance
Generous holiday, vacation, sick and safety leave
Supportive parental, family care, and military leave programs
Annual wellness, technology & ergonomic reimbursement programs
Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
Catered lunches + snacks & drinks when working in offices

#LI-REMOTE
#LI-MidSenior


Senior Data Scientist

We are looking for a Senior Data Scientist who will work with our Product and Engineering teams to create artificial intelligence based recommendations and insights extracted from modeling and analysis of very large sets including Movable Ink’s historical data. The ideal candidate is an expert at using large datasets of various kinds and presenting insights from those datasets to senior leaders. This data may include images, text and hypertext to find opportunities for computer vision, natural language processing. This candidate should  have a passion for discovering solutions hidden in large data sets and working with stakeholders to create value for our clients.
This role will be reporting to the VP of Machine Learning
Responsibilities:

Design and development of Machine Learning models for propensity scores and creative attribute rankings and recommendations
Deliver strategy recommendations to internal and external stakeholders for maximizing customer success in using AI
Development of performance based score models using comprehensive set of features
Design, development, and presentation of insights and reports based on customer and market information
Create and enhance optimization algorithms and test setups for marketing campaigns
Collaboration with various stakeholders throughout the organization to identify opportunities for leveraging domain knowledge and data to create new features into the Artificial Intelligence based products
Mine and analyze data from a data warehouse to drive improvements in product development, marketing campaigns and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop processes and tools to monitor and analyze model performance and data accuracy
Customer facing meetings to run both discovery and partner with key customers on the rollout of new models

Qualifications:

5-7 years of experience manipulating data sets and building statistical models, education in a quantitative field or equivalent working experience
Strong problem solving skills with an emphasis on statistical model development
Experience using statistical computer languages (Python and  R) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with popular machine learning libraries such as TensorFlow, PyTorch, scikit-learn and scikit-image
A drive to learn and master new technologies and techniques
Experience or equivalent experiences querying databases and using statistical computer languages: R, Python
Experience using Google services: Bigquery, Cloud Storage, Vertex
Experience with visualization tools like Tableau, Looker

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The base pay range for this position is $220,000-$250,000/year, which can include additional on-target commission pay/bonus. The base pay offered may vary depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.


Lead Data Scientist Us

Lead Data Scientist
POSITION OVERVIEW
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Lead Data Scientist at General Mills, you will apply your advanced expertise in machine learning, data mining, and information retrieval to design, prototype and build a next generation omnichannel measurement engine and services.
You will serve as a technical leader for an enterprise level omnichannel measurement data science initiative. You will be responsible for designing the analytic architecture, constructing machine learning models, and communicating with product owners, business partners and other data scientists.
The Lead Data Scientist role requires a set of specialized skills unique to the domain area. We are seeking an expert level data scientist with a demonstrated history of successfully leveraging analytic solution design across data science, ML engineering, and reporting. This role requires in-depth knowledge of marketing and eCommerce with a preference for CPG experience.
KEY ACCOUNTABILITIES
Work closely with data science leadership, engineering, and business partners to develop optimization and machine learning models using best in class tools and technology.Provide technical leadership within a product team through strong partnership and providing solution alternatives.Create production ready, scalable models that provide real time insights that align with General Mills technology standards.Serve as a senior leader as part of the data science leadership team- contribute to technical strategy, best practices, and team development.Coach and mentor data scientists on key technical and domain topics through solution and code reviews.Act as a thought leader in marketing and eCommerce data science techniques and represent the Digital and Technology organization.Engineer new features by using your business acumen to find new ways to combine disparate data sources. Partner with functional analytic teams to align and integrate solutions.
MINIMUM QUALIFICATIONS
Master’s degree in data science, computer science, engineering or related quantitative field or commensurate work experience in data science.7+ years of professional experience developing and deploying machine learning algorithms in a production environment.2+ years of professional experience in a consumer, marketing, eCommerce or media related role preferably in data science.Proficient in one or more coding languages including Python.Expertise with leading the development of large-scale AI and machine learning based models.Experience with cloud based AI platforms.Exceptional communication & collaboration skills to understand business partner needs & deliver solutions.Bias for action, with ability to deliver outstanding results through task prioritization & time management.
ADDITIONAL CONSIDERATIONS
The preferred location for this role is Minneapolis, MN however remote work-at-home applications within the United States will be considered.Relocation support will not be offered to applicants within the United States.International relocation or international remote working arrangements (outside of the US) will not be considered.
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

 Salary Range The salary range for this position is $120500.00 - $201000.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.


Research Scientist Internship

About Upstart
Upstart is a leading AI lending platform partnering with banks to expand access to affordable credit. As we transitioned to being a public company, we’re now poised to leverage our domain expertise and revolutionize every aspect of lending and credit risk evaluation. We’ve recently expanded our offerings to include automobile refinancing and we plan to take on more verticals as the business grows.
By leveraging Upstart's AI platform, Upstart-powered banks can have higher approval rates and lower loss rates, while simultaneously delivering the exceptional digital-first lending experience their customers demand. Upstart's patent-pending platform is the first to receive a no-action letter from the Consumer Financial Protection Bureau related to fair lending. Upstart not only supports a large remote workforce, but also has offices in San Mateo, CA; Columbus, OH; and Austin, TX
Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!
The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles. As a whole, the Machine Learning team builds, enables and evaluates our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.
The Role
As a Research Science Intern, with Upstart, you’ll have an opportunity to work with a mentor and have ownership for an impactful Machine Learning project. This may include building proof of concept or helping to productionalize ML models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

Position Location - This role is available in the following locations: Columbus, OH, San Mateo,CA or Remote

Time Zone Requirements - This team operates primarily on East Coast time zones.

What we're looking for:

Strong academic foundation and currently pursuing Master's or PhD in machine learning, statistics, mathematics, computer science or a related quantitative field of study
Comfort with Python programming
Predictive modeling experience is preferred
Strong sense of intellectual curiosity balanced with humility
Numerically-savvy with ability to operate at a speedy pace
Enthusiasm for and alignment with Upstart’s mission and values

Timeline:

We're currently considering individuals for 12-week internships from approximately May-September 2023. We are flexible on exact dates if needed.

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together.


Principal Data Scientist

About the team
The Strategic Analytics & Operations team is responsible for a metrics driven assessment of whether we are on track for our strategy and data driven insights to evaluate new strategic opportunities. The team covers three key functions: (1) Business Intelligence, (2) Metrics Operations, and (3) Strategic Insights. We collaborate with our most senior leaders to determine what we should be doing as a company, ensure we are successfully accomplishing what we said we would do and executing course corrections.
About the role
As a Principal Data Scientist, you will help to ensure we are measuring and evaluating our strategy and execution. You will also derive data driven insights to support the highest levels of strategy questions at Zillow. You will be partnering with our Strategy & Partnerships, Business Operations, Strategic Finance and M&A, and Investor Relations teams to understand business questions and creatively solve complex business problems with analytic solutions. You will be navigating large and messy datasets, selecting and applying the appropriate methodologies (model building, A/B testing, forecasting, opportunity sizing), designing experimentation frameworks, and collaborating with Data Science, Econ, and Insights teams to complete the analysis. You will proactively and strategically use data to identify “big picture” opportunities for the company, and share your insights to influence product and business leaders across the company.
This is an opportunity to leverage your curiosity, strategic mind, analytical skills, relationship building and presentation strengths to have a meaningful impact with a high level of exposure across the company. This is a high visibility team and role, with broad exposure to every part of our business and the ‘big picture’ of Zillow and exposure to key leaders across the whole company.
You Will Get To:
Influence key leaders in the business, product and data analytics using data driven insightsDrive recommendations on big picture company strategyProvide key inputs to our overall rhythm of business (e.g. monthly product and metrics reviews) Conduct ad hoc analysis and detailed modeling to surface opportunities for Zillow’s strategy and business You will work closely with Strategy & Partnerships, Business Operations, Strategic Finance and M&A, FP&A, Product Operations, leaders in product and the business and our executive team
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 California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $165,600.00 - $264,500.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Strong business acumen and ability to break down business questions into analysis and insights needed to support recommendationsExcellent at understanding business strategy and requirements to build measurement solutions for use by multiple stakeholders throughout the companyAbility to jump in and conduct exploratory analysis and modeling; transform and distill combine complex and messy data into clear visualizations and actionable insights using appropriate methodology, including model building, A/B testing, forecasting, opportunity sizingAn expert in SQL, R/Python, Excel, and either Tableau, Mode, or other visualization software Practical knowledge of statistics Ability to deliver insights around business problems in a thoughtful and persuasive manner to senior leadershipCan find signal through noise and distill complex and detailed information into simplified content in oral and written formStrong project management skills with the ability to manage multiple priorities  Highly adaptable, and able to thrive in ambiguous or uncertain environments
Qualifications
8+  years of experience in a combination of strategy, operations, consulting, and analytics rolesExperienced conducting quantitative data analysis using large datasets and data visualization toolsDegree in a quantitative field (e.g. science, engineering, economics, statistics). Advanced degrees preferred.
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
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 helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
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. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. 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, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, 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.


Data Scientist

Imagine what we can DEVELOP with you
True leaders are always learning. Moody‚Äôs is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.
Moody‚Äôs is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don‚Äôt meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.
Moody‚Äôs is a global integrated risk assessment firm that empowers organizations to make better¬†decisions.
At Moody‚Äôs, we‚Äôre taking action. We‚Äôre hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We‚Äôre educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at¬†moodys.com/diversity
Department
In the Banking group, we help lending institutions make important decisions about their business, particularly when they are providing loans, managing risk, or conducting financial planning for the future of their institution. We do this with our innovative software and reliable analytics, helping them understand how to do their job better through training, learning solutions and advisory services. We are a dedicated team of experts in technology and financial analytics who understand what our clients need.
Role/Responsibilities
We are looking for a Data Scientist to join our Banking OU Data Science team and help us shape the future of the financial industry. In this role, you will use your skills in traditional statistical modeling, business intelligence, machine learning, and artificial intelligence to work on cutting-edge projects that will have a significant impact on our business. You will be responsible for developing and implementing data-driven solutions to complex business problems, and you will play a vital role in the evolution of our Lending, Risk & Finance Solutions, and the development of our Banking Platform.Key Projects include:
REMOTE BUT MUST RESIDE IN THE UNITED STATES
Smart Work Queue (SWQ) model combining different type of risk signals for CreditLens Monitor.
Develop feedback loops to continuously develop and train SWQ models based on user feedback.
Research on emerging AI, machine learning, deep learning solutions applied to structured and unstructured data and be conversant with the latest developments in these fields.
Assist with rollout out of Standard Insights dashboards for Banking products.
Perform data analysis and prototype data pipeline for Data Science needs and deployment of Sisense dashboards.
Extracting Insights from Credit Data: Utilize advanced data analytics and AI techniques to uncover valuable insights from credit data, driving better decision-making for our clients.
Responsibilities:
Collect, clean, and analyze large datasets.
Prototype BI dashboards and visualize the data.
Develop and implement data-driven solutions to complex business problems.
Build and deploy machine learning models.
Work with stakeholders to gather requirements and communicate results.
Stay up-to-date on the latest trends in data science and machine learning.
Maintain up-to-date documentation and contribute to the knowledge sharing within the team.
Qualifications
Bachelor‚Äôs degree in data science, computer science, statistics, economics, finance or a related field.
4+ years of experience in data analytics and data mining with strong understanding of data warehousing, data modelling and schema design.
Strong SQL skills to query data and understand the relationships among the datasets is required.
Strong programming skills in Python, R, or another statistical programming language.
Experience with Business Intelligence tools such as Qlik, Tableau or Sisense
Experience with machine learning and artificial intelligence.
Familiarity with NLP, and AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and DevOps tools (e.g., Jenkins, GitHub).
Experience working in Banking or Finance is a plus.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Moody‚Äôs is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.  Moody‚Äôs also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.  If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please emailaccommodations@moodys.com.  This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance¬†Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work¬†Act.
Click here to view our full EEO policy statement.  Click here for more information on your EEO rights under the law.  Click here to view our Pay Transparency Nondiscrimination statement.
For US-based roles only: the anticipated hiring base salary range for this position is $108,500 to $157,250, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody‚Äôs also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Candidates for Moody‚Äôs Corporation may be asked to disclose securities holdings pursuant to Moody‚Äôs Policy for Securities Trading and the requirements of the position.  Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.


Senior Forecast Modeling Manager

Guild is hiring a Senior Forecast Modeling Manager to scale the efficiency of a growing team within Financial Planning & Analytics. In this position, you’ll play a key role in building out and leading a team that uses data & analytics to effectively budget and forecast the client’s education benefit program.
In particular, we’re looking for a team member who can thrive in detecting patterns and themes, supporting a client-facing team that operates in a complex, high-touch environment. In this role, you’ll have a unique opportunity to work on innovative challenges that will allow us to mature our budgeting and forecasting processes, deepening relationships with clients.
As a Senior Manager: Forecast Modeling, you will:

Lead and build a team of analysts and data scientists to handle budgeting and forecasting for Guild's Employer Partners
Build and own scalable modeling solutions, toolkits, best practice documents, and a consulting approach that can be applied across Guild partner base
Manipulate and analyze complicated data sets, partnering as needed to improve data quality and infrastructure
Influence critical business decisions by providing insights supported by reporting and analytics
Partner cross-functionally with our Data Engineering, Product, Technology, and other teams to support business needs
Lead ongoing experimentation with modeling and data science methodologies
Produce insights, analyses, and recommendations to help employers understand drivers of spend and the impact of changes in student behavior over time, as well as these changes on revenue

You are a strong fit for this role if you have:

5-7+ years of total experience in an analytics, data science, financial planning & analysis
Experience leading technical and/or analytical teams in a fast paced environment
Exceptional problem solving, analytical, data visualization, and project management skills
Strong ability to identify the most significant metrics for a given business objective and translate analyses into tangible recommendations for sales and client services teams, working cross functionally to achieve shared objectives
Comfort presenting financial data to senior team members internally and / or at client organizations with an ability to influence perspectives via data-driven storytelling
Ability to execute quickly with high attention to detail in a fast-paced, dynamic environment
Expertise in model development, maintenance and tuning (including logistic regression, random forest, time-series forecasting), and at least one coding language (R, Python, etc.)
Fluency in SQL, Tableau (or other data visualization tool), and Excel

We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a base salary range of $132,000 - $165,000, as well as company stock options.

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Senior Data Scientist Analytics

What You'll Be Doing
Partner with teams through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You Will Thrive In This Role If
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc
Experience writing performant code in BigQuery SQL
New York City residents only: Minimum salary of $175,000 year + equity and benefits*Note: Disclosure as required by NYC Pay Transparency LawColorado residents only: Minimum salary of $140,000 year + equity and benefits*Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Data Scientist

FocusKPI is seeking a Data Scientist to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S..
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension/conversion
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Master’s degree in statistics/mathematics, engineering, computer science, economics, or related field3+ years of industry experience in data, analytics, data science roleProficient coding skills (SQL/Python/R)Deep knowledge on relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc)Experience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story’ that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosity
Preferred Qualifications:
PhD degree in statistics/mathematics, engineering, computer science, economics, or related fieldExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problemsExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.


Data Scientist Experimentation

FocusKPI, Inc. is looking for a Data Scientist (Experimentation) to work for our client. Work Location: RemoteDuration: 6 months, with potential for extension and conversion.Requirements:
Engage with stakeholders to understand strategic challenges, understand their needs, cross-question them to avoid assumptions, and proactively recommend intelligent insights to solve the unanswered questions throughout the engagementDevelop, Design, and support interactive Tableau Dashboard reportsWork with Data Visualization Support towards better storytellingDeliver reports in an agile environment and timely mannerIdentify ways to enable analysts and data scientists to experiment faster and more rigorously than today.Put in place tables and dashboards to speed up the experimentation process.Measure the impact of our experimentation center of excellence strategy, designing and analyzing the launch of experimentation tools and frameworks.Assess the current state of experimentation through analyses and needs assessments.Foster a world-class analytics culture through education and the creation of self-service tools to make a lasting change in how your analysts use experiments to make decisions
Qualifications:
Collaboration with other team members and stakeholders is a key strengthStrong proficiency with SQLSome Databricks (creating notebooks and pipelines) or different tool experienceAbility to Prepare documentation and specifications, as and when necessaryExperience with A/B testing is required3+ years of experience with TableauExperience with statistical programming languages (R or Python). Previously worked in global teams and high-growth companiesAn understanding of the SaaS development, business model, and metricsAre an active member of the broader analytics and data science communityStrong ability to communicate.Explaining complex concepts to diverse audiences and crafting compelling stories
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.


Associate Data Scientist

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About EAB
At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,500 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across five major areas: enrollment, student success, institutional strategy, data & analytics, and diversity, equity, and inclusion (DE&I). We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.
At EAB, we serve not only our partner institutions but each other—that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.
 For more information, visit our Careers page.
The Role in Brief:
Associate Data Scientist
This position is based in Richmond, VA or Washington, D.C., Open to remote within the continental United States.
Job Description:
EAB is seeking aspiring data scientists of diverse talents and interests to help grow our industry-leading software platform's artificial intelligence and machine learning capabilities. Whether you are by nature a researcher with a quantitative bent interested in tackling some of the most impactful questions in the social sciences, or a software engineer who wants to build a world-class machine learning platform, you can carve out a place for yourself on our team. We are a medium sized team working to discover, build, and scale AI/ML solutions that help colleges and universities support their students from the application phase to graduation and beyond in a positive, inquisitive, and collaborative environment.
Primary Responsibilities:
Collaborate with data engineers and software engineers to integrate research-driven machine learning models into production software systems
Build internal tools for data science/analytics workflows
Manage data processing pipelines for analyzing terabyte-scale data from multiple sources
Write Python and R code using current best practices
Coordinate with product managers, software engineers, and customer-facing teams
Basic Qualifications:
Bachelor’s degree in a quantitative field, or equivalent experience
Programming skills in Python or R
Experience using SQL for data cleansing, transformation, summarization, or analysis
Ability to communicate and collaborate with both technical and non-technical team members
Conscientious, curious, dedicated, and quality-focused
Ideal Qualifications:
Experience with machine learning, statistics, and the scientific method
Professional experience with software engineering, data warehousing, Linux systems
Experience with AWS or other cloud-based server management and machine learning services
Commitment to valuing diversity, practicing inclusive behaviors, and contributing to an equitable working and continual learning environment in support of EAB’s DE&I Promise
If you’ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome diversity of background and experience. We would encourage you to submit an application if this is a role you would be passionate about doing every day.
Benefits:
Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package.
Medical, dental, and vision insurance; dependents and domestic partners eligible
401(k) retirement plan with company match
20+ days of PTO annually, in addition to paid firm holidays
Daytime leave policy for community service or fitness activities (up to 10 hours a month each)
Paid parental leave for birthing or non-birthing parents
Phase Back to Work program for employees returning from parental leave
Infertility treatment coverage and adoption or surrogacy assistance
Wellness programs including gym discounts and incentives to promote healthy living
Dynamic growth opportunities with merit-based promotion philosophy
Benefits kick in day one, see the full details here.
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At EAB, we believe that to fulfill our mission to “make education smarter and our communities stronger” we need team members who bring a diversity of perspectives to the table and are committed to fostering a workplace where each team member is valued, respected and heard.
To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don’t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.


Lead Data Scientist

At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really enjoy working here. We pride ourselves on our self-service platform, originally coded by our President and CEO, and are constantly seeking to improve the user experience for our customers and scale for efficiency. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.
As a Lead Data Scientist on our Attribution team, you will guide the analysis, methodologies, prototypes and evolution of our attribution capabilities. You will lead other data scientists, data engineers, and machine learning experts as well as collaborate with Product Owners, Data Analysts, Software Engineers and other stakeholders to create and iterate on various data intensive products.
What You’ll Do:

Become the end to end expert on attributing impact of advertisements in an ambiguous and privacy-focused ecosphere.
Identify business opportunities and gaps in data insights for both internal and external stakeholders.
Lead discussions with other technical and non-technical functions.
Propose, implement, and evaluate mechanisms to connect event data across a variety of platforms.
Utilize a variety of mathematical techniques and communicate them to others.
Investigate critical incidents and provide insights to data ambiguity.
Communicate findings and knowledge to others including vice president and c-suite stakeholders.

What You’ll Bring:

6+ years of experience related to experimentation, A/B testing, causal analysis, machine learning, look-alike modeling, ranking or equivalent. Advanced degrees in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or similar may be substituted for some years of experience.
Experience in SQL, Python, Jupyter Notebooks, R, or similar languages and a history of technical mentoring.
Hands-on experience working with NoSQL, Spark, Hive, BigQuery, Databricks, Snowflake, or similar technologies.
Written and verbal communication skills to convey complex technical topics to a variety of audiences.

MNTN Perks

100% remote
Open-ended vacation policy with an annual vacation allowance
Three-day weekend every month of the year
Competitive compensation
100% healthcare coverage
401k plan
Flexible Spending Account (FSA) for dependent, medical, and dental care
Access to coaching, therapy, and professional development

About MNTN:
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including, Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.
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