ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅
**π₯ VACANCY: Data Scientist β Forecasting & Analytics**
**π₯ Outstaff | Remote**
**Customer:**Β bp
**Experience:**Β 4+ years
**Work format:**Β Remote (team timezone β UK / India)
**Salary:**Β approx. $4,000β6,000 gross
π Role Overview
Data Scientist with strong Python skills to analyze, evaluate, and improve forecasting models. Focus: accuracy evaluation, EDA, process enhancement, and business insights (not production support).
π§ Key Responsibilities
Forecast accuracy (MAPE, wMAPE, MAE, RMSE) across monthly/quarterly/yearly horizons
Automated reporting & visualization (Python, dashboards)
EDA on large datasets β detect anomalies, data quality issues
Evaluate classical models: Naive, Moving Averages, ARIMA
Translate stats into business narratives
Build reusable Python code (Git, Docker, CI/CD basics)
π§ Requirements
Strong Python: Pandas, NumPy, Matplotlib/Seaborn, Sklearn, Statsmodels
Solid understanding of MAE, RMSE, MAPE
Time series knowledge (preferred but not mandatory)
Independent, strong communicator, business-focused
βοΈ Nice to Have
Forecasting in finance / demand planning / exchange rates, cloud experience.
π© How to apply
ΠΠΎΡΡΡΠΏΠ½ΠΎ Π² ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ΅
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