Data Scientist, Marketplace Incentives
San Francisco, CA
Scale AI
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.Scale is looking for a data scientist to join our team to help advance the development of AI. As a member of the data science team, you will lead the charge of building our data science infrastructure for marketplace products and driving insights that lead to step-function improvements in how we operate. The ideal candidate is detail-oriented, rigorous about validating results, talented at distilling down complexity, and loves tackling and solving hard problems.
You will:
- Build evaluation frameworks to measure marketplace efficacy and behavioral economics
- Adapt statistical models to solve specific hard problems in fields of marketplace experimentation, econometrics, and incentives
- Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs/models
- Tackle business-critical questions by developing and testing hypotheses, and aiding evidence-based decision making
- Partner with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmaps
Ideally, You'd Have:
- 2+ years of industry experience in a highly analytical role
- Degree in a quantitative field (e.g., Maths, Engineering)
- Expert-level proficiency in writing complex SQL queries across large datasets
- Expertise in designing metrics and diagnosing data inconsistencies
- Experience working with marketplace experiments (causal inference)
- Proficiency in Python
Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$148,000—$177,600 USDAbout Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.
Tags: Causal inference Computer Vision Econometrics Economics Engineering Generative AI Generative modeling LLMs OpenAI Python SQL Statistics Testing
Perks/benefits: Career development Equity Health care
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