Data Scientist

Title: Data Scientist Location: Remote - EST Job Type: 6 month contract + extensions, conversion to perm possible Compensation: $68/hr to $82/hr. • Exact compensation may vary based on several factors, including skills, experience, and education. • Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. Required Skills & Experience • 5+ years of experience developing and deploying predictive models in production environments. • Strong proficiency in Python or R, and SQL. • Proven experience in: • Time-series forecasting • Recommendation systems (pricing, demand, or inventory) • Anomaly detection • Modeling with IoT or telemetry data • Hands-on experience with cloud data warehouses (Snowflake OR Databricks) • Experience working with retail, inventory, supply chain, or vendor-based datasets. Job Description This role supports the enhancement of an internal pricing and inventory decision-support tool used by venue operators and site managers. The tool enables users to configure future periods, run pricing scenarios, and apply model-driven recommendations that forecast demand, inventory needs, and financial impact (revenue, gross profit, margin). Day to day, the Data Scientist will: • Build and deploy predictive models that power product-level pricing and scenario outputs in the tool. • Analyze POS sales, back-of-house and warehouse inventory, IoT/telemetry signals, and vendor data. • Support scenario analysis and “what‑if” comparisons (e.g., price changes, end-of-event markdowns). • Translate complex model outputs into clear, business-facing recommendations for non-technical users. • Partner closely with Data Engineers to ensure models are production-ready, scalable, and reliable. • Produce clean, documented code and lead knowledge transfer for long-term maintainability.