Senior Data Scientist

Summary

Join Afresh, a company dedicated to eliminating food waste and making fresh food accessible, as a seasoned Data Scientist. You will be a key player in setting the direction of the data science and analytics team and creating a self-serve analytics culture. Partnering with various teams, you will develop success metrics, design experiments, build analytics systems, collaborate with machine learning teams, and become an expert in data analytics pipelines. This role offers a unique opportunity to make a significant social impact while working on revenue-growing projects. Afresh is committed to diversity and encourages applications even if you don't meet every criterion. The company offers remote work options for employees residing in specific states.

Requirements

• Relevant and demonstrated industry experience working with cross-functional partners and driving work from idea to completion
• Strong communication skills and experience collaborating with business and external stakeholders
• Bachelor’s degree, preferably in Statistics, Economics, Computer Science, Mathematics, Informatics, Information Systems or another quantitative field
• 4+ years of relevant work experience (or Masters degree with 2+ years of relevant work experience or PhD with 1+ years of relevant work experience)

Responsibilities

• Partner with product and business teams to develop effective success metrics (OKRs from product level to company level)
• Design experiments to measure the impact of new features on those metrics
• Partner with engineering teams to develop product analytics and data monitoring/alerting systems
• Partner with our machine learning teams for investigations and feature engineering
• Become an expert in our data analytics pipelines and core metrics

Preferred Qualifications

• Experience with experimental design, econometrics, and/or causal inference
• Expert level skills at SQL (experience with dbt is a plus but not required)
• Expertise with Python, R, or a similar data science scripting language
• Experience with a standard data science software ecosystem: Jupyter Notebooks, pandas, scikit-learn; or RStudio, tidyverse, etc
• Experience with BI tools such as Looker, Tableau, Power BI, or similar

Benefits

Remote work options for employees residing in specific states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI