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 growth/marketing 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 marketing efficacy, funnels, and guide product development roadmap
Adapt statistical models to solve specific hard problems in fields of experimentation, LTV, and retention
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 growth/marketing data, instrumentation, funnels, and incrementality testing
Proficiency in Python

Compensation packages at Scale for eligible roles 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$148,000—$177,600 USD

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 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 [email protected]. 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.

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Compensation Overview

You will:

Ideally, You’d Have:

6 month growth

1 year growth

2 year growth

Benefits