Job Title – Data Scientist/Data Engineer
Experience: 2–5 Years
Location: Jaipur / Bangalore
Employment Type: Full-time
Prediction and Forecasting
Role Overview
We are looking for an experienced Data Scientist/Data Engineer with strong expertise in predictive modelling, forecasting, SQL development, and data engineering. The ideal candidate will build forecasting models and develop reliable data pipelines using Databricks, SSIS, and SQL Server.
Key Responsibilities
- Develop and improve predictive models and forecasting solutions.
- Analyse historical data to identify trends, patterns, seasonality, and key influencing factors.
- Perform data preparation, feature engineering, model training, validation, and performance evaluation.
- Evaluate models using appropriate metrics such as MAE, RMSE, and MAPE.
- Build and maintain scalable data and ETL pipelines using Databricks and SSIS.
- Develop and optimize SQL queries, stored procedures, and database objects.
- Integrate data from multiple sources into SQL Server and Databricks.
- Deploy, monitor, and retrain forecasting models to maintain accuracy.
- Investigate data-quality issues, prediction errors, and model performance changes.
- Use Git for version control and collaborative development.
- Collaborate with engineering, analytics, and business teams to convert requirements into actionable forecasting solutions.
- Present model outputs and business insights through reports and dashboards.
Must-Have Skills
- Experience in predictive modelling and forecasting
- Strong knowledge of statistical analysis, machine learning, and time-series forecasting
- Strong programming experience with Python and/or PySpark
- Strong SQL development skills
- Hands-on experience with Databricks
- Expertise in SSIS
- Strong knowledge of SQL Server
- Experience with data preparation, feature engineering, and model evaluation
- Experience using Git for version control
Good-to-Have Skills
- Experience with Power BI
- Experience with forecasting techniques such as regression, ARIMA, Prophet, XGBoost, or similar methods
- Knowledge of model deployment, monitoring, retraining, and data-drift detection
- Familiarity with cloud-based data and machine-learning platforms
Preferred Profile
- Relevant experience in data science, machine learning, forecasting, or data engineering.
- Strong analytical and problem-solving abilities.
- Ability to explain model results and recommendations to technical and business stakeholders.
- Ability to work independently and support evolving requirements in an ongoing engagement.
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Work Location: In person