Data Scientist (Econometrics & Time Series) - FTE

• Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases
• Apply econometric techniques such as WLS, panel data models, and causal inference methods to solve real-world business problems
• Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making
• Utilize Markov chains and stochastic processes for modeling sequential or behavioral data
• Translate business problems into robust analytical frameworks and deliver actionable insights
• Work with large datasets using Databricks
• Collaborate with stakeholders across business and technical teams to ensure model relevance and impact
• Mentor junior team members and drive best practices in statistical modeling and experimentation

• Strong foundation in econometrics and time series analysis (critical requirement)
• Hands-on experience with:
• Time series models (ARIMA, SARIMA, VAR, forecasting techniques)
• Econometric methods (WLS, regression diagnostics, panel data models)
• Causal inference (A/B testing, quasi-experimental methods)
• Bayesian statistics and probabilistic modeling
• Markov chains or stochastic modeling
• Proficiency in Python and SQL
• Experience working with Databricks or similar big data platforms
• Ability to clearly communicate complex statistical concepts to non-technical stakeholders

Good-to-Have Skills

• Experience with machine learning models (classification, regression, tree-based models, etc.)
• Familiarity with feature engineering, model validation, and performance tuning
• Exposure to ML pipelines and MLOps concepts