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data scientist San Francisco, CA

Scale

Full Time San Francisco, CA 177558 - 126231 USD ANNUAL Today

Job description

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 Gen AI 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 LLMs efficacy, ground truth dataset quality, and guide product development roadmap
Adapt statistical models to solve specific hard problems in fields of economics, price theory, and marketplace experimentation
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 aid 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:

4+ 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
Experience NLP/NLU models
Strong proficiency in python, experience in writing production-grade code
Expertise in designing metrics and diagnosing data inconsistencies

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $148,800 – $178,560. 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.

About 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 machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and 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 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 [email protected]. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

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. 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.

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