Data Scientist

Data Scientist

Full Time 7+ Years

Company profile:

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Skill:

Analyze enterprise datasets (sales, marketing, trade promotion, pricing, inventory, media spend) to generate actionable insights. Build forecasting and time-series models (baseline and advanced) for demand, KPI trends, and scenario planning. Develop and evaluate marketing mix models (MMM) and incrementality frameworks where applicable. Create clear KPI definitions, metric layers, and semantic consistency across data sources and dashboards. Design experimentation/validation strategies, including backtesting, holdout sets, and error decomposition. Translate analytical findings into stakeholder-ready narratives, visuals, and recommendations. Partner with data engineering to productionize feature creation, data validation rules, and scheduled refreshes. Develop PowerBI dashboards and/or curated reports that support self-serve decision making. Maintain documentation for assumptions, model limitations, and recommended usage patterns.

Additional Skills

Python (pandas, statsmodels, scikit-learn), Prophet or equivalent SQL; notebook-based analysis workflows PowerBI; data modeling for BI (semantic layer/measure definitions) Azure / Microsoft Fabric (Lakehouse/Warehouse) - preferred Version control (Git) and documentation practices AS400 Modernization & IBM i Services | SrinSoft Tech Transform legacy systems with SrinSoft’s AS400 modernization, IBM i services, middleware integration & enterprise IT solutions for agile business growth.