Senior Data Scientist

Responsibilities:

• Use data analysis and visualizations (examples include Looker, Jupyter Notebooks, Python, Pandas) to inform the business strategy for cost predictions in a two-sided marketplace 
• Query and extract data from databases (Snowflake and MongoDB)
• Developing hypotheses and Conducting statistical analysis to answer business questions 
• Design, implement and analyze results from experiments (A/B Tests)
• Analyze formulaic algorithms for accuracy, provide recommendations, and update production code
• Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
• Solve challenging, uncharted problems
• Work in an environment that thrives on teamwork and continuous learning opportunities;

Qualifications:

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or PhD in a related field highly desired
• 5+ years of experience with pricing algorithms and product led technology
• Proficient in SQL and Python (numpy, scipy, pandas, and sklearn preferred)
• Experience interacting with APIs using Python
• Proficient in applied statistics (distribution of random variables, p-values, confidence interval, standard error, power, type I and II errors)
• Proficient in statistical tests (t-test, ANOVA, Chi-Square test)
• Fluent with scientific software principals, e.g. versioning systems, reproducibility, code deployment
• Ability to work in a fast-paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5