Data Scientist

About WorkWhile
WorkWhile is on a mission to help workers earn a better living and live better lives. 83 million Americans work hourly jobs, often with unpredictable schedules that pay close to minimum wage and offer limited benefits, leading to financial instability.
WorkWhile identifies the best hourly workers and matches them with shifts that fit their skills, location, and life. Businesses get access to a quality workforce, while workers get stable income and unmatched benefits, including next day pay, free telehealth services, and financial services.
We have the audacious goal to align incentives and solve inefficiencies in the labor market, disrupting the $650 billion staffing and recruiting market. Backed by Khosla Ventures and recognized by the Inc. 5000 for 10x growth, WorkWhile is reshaping the future of work.
About the Role
WorkWhile is looking for a data scientist to help us develop the models and algorithms core to our product and operational systems. You will help shape all aspects of our data culture and have a hand in key company decisions. You will be responsible for core product initiatives such as matching workers to shifts, dynamic pricing, and supply-demand optimization. You will partner closely with our engineering and product teams to implement and refine your work, which will be seen by every user of the WorkWhile product.
WorkWhile has a diverse, mission-driven, and supportive culture - we look for people who want to take ownership, are energized by ambiguity, and strive to make a lasting impact. If this resonates with you, we'd love to chat!
What you'll do

• 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

What we're looking for

• 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

Data Science & Economics Team

• We're a team with deep tenure at WorkWhile and also broader experience at other leading marketplace companies
• We value user-centricity, competence, speed, and having fun
• We embrace independence and take ownership of our projects, yet are also great team players
• We deal in outcomes, not projects

Benefits & Perks

• Hybrid work culture with office hubs in SF, NY & Toronto
• In-person company offsites
• Medical, dental, & vision coverage
• Flexible time off
• 401(k) with employer match
• WFH stipend to support your home office needs

WorkWhile is an Equal Opportunity Employer. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply.