
AI Innovator
3 days ago
We are seeking a Senior Data Scientist to drive the development of predictive models and statistical analyses for business growth.
Responsibilities:- Determine key business problems as machine learning tasks.
- Clean, engineer, and manage large-scale datasets using SQL and Spark.
- Develop and deploy predictive models using Python/R, scikit-learn, XGBoost, and PyTorch.
- Oversee the full lifecycle of model deployment: experiment tracking, CI/CD, model monitoring, and A/B testing.
- Develop macro- and micro-economic forecasting models using ARIMA, VAR, GARCH, and DSGE.
- Analyze policy impacts and scenarios for new markets and products.
- Publish concise data insights for leadership and external stakeholders.
- Create three-statement models, valuation dashboards, and stress-testing engines.
- Analyze sensitivity and Monte-Carlo simulations on pricing, credit, market, and liquidity risk.
- Collaborate with Finance to refine budgets, KPIs, and capital-allocation decisions.
- Design self-service BI dashboards and statistical reports using Power BI and Tableau.
- Raise data literacy in product managers, engineers, and analysts through workshops.
- Present results to C-suite and external partners in clear language.
Qualifications:
- PhD/MSc in Applied Economics, Statistics, Data Science, Computer Science, or related field.
- Strong foundation in probability, linear algebra, optimization, and micro/macroeconomics.
- 5+ years of professional experience building predictive models and statistical analyses.
- Fluency in Python and R.
- Expert user of SQL and at least one cloud data stack.
- Ability to create full-stack financial models.
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