Senior Data Scientist

Senior Data Scientist

This job is no longer open
WHAT WE DO
At Shef, we are building a homemade food marketplace. We believe in providing the shefs in our community (refugees, immigrants, stay-at-home parents, retirees and out-of-work restaurant chefs) the opportunity to make a meaningful income by doing what they love! We also believe that every person should have access to a wholesome, home-cooked meal at an affordable price. Building a community devoted to economic empowerment and cultural inclusivity -- that's why we started Shef. 

We are committed to reimagining home cooking regulations around the country to help put people back to work following the COVID-19 pandemic and have raised nearly $30M from investors including Andreessen Horowitz, Y Combinator, Craft Ventures, and M13, as well as founders and executives from Instacart, TaskRabbit, StubHub, AngelList, Lyft, Airbnb, and Yelp. We have a ton of exciting work ahead of us and are excited to have you join us!


ROLE 
In this role you will be responsible for empowering teams to make the smartest decisions possible building delightful experiences for consumers and Shefs across the country. You will define how and what we should collect and optimize for data driven decision making. Your work will also influence team goals, find opportunities in the data to shift our product focus, and set a culture of rigorous experimental testing and iteration. If we succeed, you will have fundamentally changed how people purchase food and the variety of healthy, affordable, and authentic food that they have access to.

RESPONSIBILITIES

    • Think like a Product Manager - Discovering insights, opportunities, and requirements for new features
    • Build the foundation of data - You will be responsible for building the data architecture for the company, choosing the right data sources, defining the structure of our data warehouse, building out and owning experimentation analysis dashboards, etc.
    • Enable operations with Data insights & tools - Work closely with our city operations teams in order to drive success in each market
    • Define the bar for data quality, and improve the culture of data driven decision making
    • Build a data-driven culture and help others learn data literacy

QUALIFICATIONS

    • Self-starter who is smart, driven, and hardworking
    • 4+ years of data science experience working in an environment with large, diverse data sets
    • Strong knowledge of experiment analysis, confidence intervals and statistical significance, and testing methodologies.
    • Expert knowledge of SQL and either R or python
    • Hands-on experience working with large data sets in a data warehouse
    • Experience auditing data with internal and external sources
    • Experience building predictive models in production environments
    • Collaborative team-focused attitude with a strong desire to advance the product and learn new things
    • Bonus for experience with funnel analysis and growth hacking
    • Bonus for past experience working on food & restaurant products or online 
    • Bonus for experience with Snowflake and Fivetran
At Shef, we are building a platform that celebrates difference and cultural inclusivity by providing equitable opportunities for economic empowerment and by reimagining food making and sharing in our 21st century world. Our employee, shef, and customer communities represent a wide, beautiful cross-section of individuals from diverse cultures, ethnicities, races, and walks of life.

Shef is an equal opportunity employer. We strive to build a team that reflects the communities we serve, and a workplace that nurtures and empowers unique identities and experiences. We are committed to advancing equity in a tech industry that has often fallen short. We strongly encourage applications from BIPOC (Black; Indigenous; People of Color), women, LGBTQ+, and other individuals who are underrepresented in the industry, across color, religion, race, ethnic and national origin, physical ability, gender and sexual identity.

For individuals who require an accommodation during the interview process, please advise your company contact.



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