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Economist Jobs

Company

Scaleapi
Address , San Francisco, Ca
Employment type FULL_TIME
Salary
Expires 2023-06-09
Posted at 1 year ago
Job Description
Scale is looking for an Economist to build and optimize tasker incentives across our global AI data platform. The Economist will be responsible for designing our tasker incentive structures and building econometric models to measure tasker behaviors.
This role will distill complex economic theory and big data to non-technical audiences, requiring excellent communicative ability. We are looking for an analytical problem solver with an economics background. The Economist is responsible for analyzing market trends, advising Scale business on economic policy decisions, and developing econometric models for forecasting, among other duties. The Economist will be a key technical leader for our staff economist and partner teams at Scale on improving Scale’s AI data platform and optimizing tasker incentives and experiences.
Who you are:
You have expertise at the intersection of economic theory and data science, with a keen business acumen and hands-on experience. You can distill exceptionally complex problems to their essence and find ways to solve them.
  • Collaborate with data scientists and engineers to develop and maintain scalable and innovative econometric and machine learning models that deliver actionable insights and results
  • Think through both big picture implications and the small details of decisions, constantly testing, disproving, and affirming product hypotheses to identify core problems, solutions and drive continuous improvement
  • Be a thought partner to Operations and Engineering executives on the strategy for internal tooling.
  • Work with staff economist and Operations leaders to identify key analytical problems and opportunities fit for econometrics to tackle
Basic Qualifications
  • Experience delivering business impact based on rigorous quantitative analysis
  • Strong data analysis skills using SQL and Python/R
  • Ability to work at a fast-paced startup environment
  • Mathematical foundations of statistics, machine learning, and economics
  • PhD in economics or Master’s in quantitative fields (such as computer science and statistics) with 2+ years of experience
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $148,000-177,000. 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.