Data Scientist
WorkWhile
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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About the role
- Develop a thorough understanding of our data
- Build predictive models and optimization algorithms to capture opportunities and solve problems. Common applications include modeling the optimal number of workers to acquire in a given market, dynamic pricing recommendations, and worker-shift recommendation and matching algorithms.
- Collaborate with other members of the Data Science, Economics, and Engineering teams on ways to approach problems, augment code, and share new techniques
- Work with functional team leads (in Product, Operations, Marketing, etc.) to explain your analysis, findings, and recommendations
- Find opportunities for improvement across the business and assist in decision-making across teams
Requirements
- At least 2 years of experience with machine learning, predictive modeling, and/or optimization techniques
- Proficient knowledge of Python and SQL, with the ability to automate data workflows and write production-ready code for offline and online inference
- Working knowledge of statistics, probability, and experiment design
- Self-starter able to drive projects to completion who is excited to be on a startup’s founding team
- Communicates effectively with both technical and non-technical colleagues
- Passion for using data science to solve real-world problems and improving economic opportunities for hourly workers
Benefits
- Hybrid work culture with office hubs in SF, NY, Seattle & Toronto
- In-person company off-sites
- Medical, dental, & vision coverage
- Flexible time off
- 401(k) with employer match
- WFH stipend to support your home office needs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive modelingoptimization techniquesPythonSQLdata workflowsproduction-ready codestatisticsprobabilityexperiment design
Soft Skills
self-starterproject managementeffective communicationcollaborationproblem-solvingdecision-makingadaptabilityteamworkanalytical thinkingpassion for data science