Junior Data Scientist
On-site · Bengaluru, Karnataka, India
Job Summary
Junior Data Scientist / Forecasting Analyst to support forecasting and predictive analytics initiatives. Responsibilities include data preparation, feature engineering, executing and retraining forecasting models, monitoring forecast accuracy, automating data and model workflows with Python, generating reports and dashboards, and collaborating with a distributed global team. Requires hands-on data science experience, Python programming, SQL, and knowledge of forecasting/time-series methods. Offshore – India; Contract for 4 months with possible extension; start date 1st July 2026.
Required Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
- 3–4 years of overall professional experience
- Minimum 1.5+ years of hands-on experience in Data Science, Machine Learning, Predictive Analytics, or Forecasting-related projects
- Experience with structured datasets and analytical workflows
- Programming & Data Analysis: Strong proficiency in Python, Pandas, NumPy, Scikit-learn, Git, SQL fundamentals
- Machine Learning & Statistics: Understanding of ML fundamentals, regression techniques, model validation, forecast accuracy measures, error metrics (MAE, RMSE, MAPE)
- Data Management: Data cleaning, preprocessing, EDA
- Core Competencies: Attention to detail, analytical skills, effective communication
- Daily Activities: Analyze historical sales data, execute forecasting models, quality checks, performance metrics, write Python scripts
- Preferred: Time Series Analysis, PySpark, Azure Databricks, Power BI/Tableau/Matplotlib/Seaborn
- Cloud analytics platforms knowledge, MLOps basics
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.