Lead Data Scientist

More than 9,000 organisations use our HR and payroll suite, from regional hospitals to school districts. Founded in 1979, we now have 2,000 employees.

Job summary:

We are backfilling a position after an internal move. The Pricing team works directly with product and finance. You'll design experiments, build forecasts and explain the results. We are headquartered in New York City and have been hiring remotely since 2020. You will join as an independent contractor on a long-term agreement. Payment is monthly in USD. You will need at least 4 hours of overlap with US Eastern time. Strong written English is important, since much of our work is async.

Essential duties and responsibilities:

• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity
• Review peers' analyses for statistical correctness
• Package reusable code instead of leaving it in one-off notebooks
• Work with ML engineers to move models into production and monitor drift
• Present findings to product, marketing and finance leaders with clear recommendations

What you need:

• MS or PhD in statistics, economics, computer science, physics or another quantitative field, or a BS plus equivalent experience
• Strong Python (pandas, NumPy, scikit-learn) and SQL
• Data visualization in matplotlib, seaborn, Plotly or a BI tool
• Ability to communicate uncertainty and tradeoffs to non-technical audiences
• Experience building and validating machine learning models on real business data

Compensation: $1,550-$2,050 monthly

What we offer:

• Monthly internet allowance
• Annual rate review

Duration: 3 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Prairieside Corp..