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 roadmapAdapt statistical models to solve specific hard problems in fields of economics, price theory, and marketplace experimentationBe a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs/modelsTackle business-critical questions by developing and testing hypotheses, and aiding evidence-based decision makingPartner with Product Managers, Data Engineers, Data Scientists, and Business Stakeholders to drive business decisions and product roadmapsIdeally, You'd Have:5+ years of industry experience in a highly analytical roleDegree in a quantitative field (e.g., Maths, Engineering)Strong proficiency in PythonExperience with marketplace experimentationExpert-level proficiency in writing complex SQL queries across large datasetsExpertise in designing metrics and diagnosing data inconsistenciesCompensation 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. The base salary range for this full-time position in the location of San Francisco is:
$172,000 — $206,000 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.
#J-18808-Ljbffr