Data Scientist

Role Overview

Data Scientist will design, develop, and maintain predictive models to support strategic planning, staffing, financial forecasting, and operational decisions. The role requires strong proficiency in Python and SQL, experience with statistical and machine learning techniques, and ability to communicate complex analytical concepts to technical and non-technical audiences.

What You Will Do

Design, develop, and maintain predictive models, apply statistical modeling and machine learning techniques, develop simulation and optimization models, build and maintain scalable analytical tools, and communicate model outputs to stakeholders.

Why It Might Be a Fit

The ideal candidate will have 4+ years of experience in data science, predictive analytics, statistical modeling, or forecasting, and strong quantitative reasoning, problem-solving, and ability to translate ambiguous business questions into analytical approaches.

Requirements

• BS or MS in Statistics, Mathematics, Computer Science, Engineering, Data Science, or related quantitative field
• 4+ years of experience in data science, predictive analytics, statistical modeling, or forecasting
• Demonstrated experience developing and maintaining statistical or predictive models that influence business decisions
• Strong proficiency in Python and SQL for data manipulation, statistical analysis, modeling, and automation
• Experience with statistical and machine learning techniques such as regression, time series forecasting, classification, simulation, or optimization
• Proficiency with Python libraries such as pandas, NumPy, scikit-learn, statsmodels, or equivalent tools
• Understanding of model validation, backtesting, feature engineering, and statistical inference
• Experience with causal inference methods such as A/B testing, difference-in-differences, or propensity score matching
• Familiarity with software engineering practices including Git, cloud platforms (Azure/AWS), CI/CD, APIs, SDKs, and model deployment
• Experience preparing, validating, and integrating large, complex datasets
• Strong quantitative reasoning, problem-solving, and ability to translate ambiguous business questions into analytical approaches
• Ability to communicate complex analytical concepts to technical and non-technical audiences
• Ability to work independently, prioritize effectively, and deliver results in a fast-paced environment

Benefits

• Medical and dental insurance
• 401(k) plan
• Paid time off
• Paid holidays

Tagged as: Forecasting, Python, SQL