Data Scientist - Forecasting

Company overview:

The product is a mobile app plus a React web dashboard, with a Python and PostgreSQL backend on AWS. We make a web-based inventory and purchasing system used by independent restaurants, breweries and small food manufacturers.

Overview:

We're hiring another Data Scientist - Forecasting to build models and run analyses that change decisions on pricing, retention and demand. Hybrid: two days in the office in Riga, the rest from home.

What you'll do:

• Validate model performance and document assumptions and limitations
• Translate vague business questions into problems the data can actually answer
• Build predictive models in Python using scikit-learn, XGBoost or LightGBM
• Review peers' analyses for statistical correctness
• Present findings to product, marketing and finance leaders with clear recommendations

Requirements:

• 2-4 years of applied data science experience
• Solid grasp of statistical inference, regression and experimental design
• Data visualization in matplotlib, seaborn, Plotly or a BI tool
• Strong Python (pandas, NumPy, scikit-learn) and SQL
• MS or PhD in statistics, economics, computer science, physics or another quantitative field, or a BS plus equivalent experience
• Experience building and validating machine learning models on real business data

Desirable:

• Spark for large datasets
• MLflow or another experiment tracking tool

Pay and benefits:

Compensation: €3,000 - €3,600/month

• Private medical care
• Meal vouchers
• B2B contract option
• Multisport card
• Language courses

Please submit your CV in English.

Relocation support is available for the right candidate.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Fieldstone Labs SIA.