Job Role : Data Scientist (Machine Learning & Time Series Analytics).

Experience : 8+ Years.

Location : Pune.

Key Responsibilities :

- Perform advanced exploratory data analysis (EDA) on large-scale telemetry, IoT, and sensor datasets.

- Develop and optimize machine learning models for prediction, classification, and regression use cases.

- Build scalable data processing and feature engineering pipelines using Python, SQL, and PySpark.

- Design and implement time-series forecasting models for telemetry and operational data.

- Analyze trends, anomalies, and performance patterns from high-frequency datasets.

- Create interactive dashboards and visualizations using Power BI for business stakeholders.

- Support model deployment, monitoring, retraining, and lifecycle management activities.

- Collaborate with Data Engineers to optimize data pipelines and processing workflows.

- Work closely with product, engineering, and business teams to integrate predictive models into production environments.

- Document methodologies, model performance, and analytical findings.

Required Qualifications & Skills :

- 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics.

- Expert-level Python programming skills with Pandas, NumPy, and Scikit-Learn.

- Strong hands-on experience with PySpark for large-scale data processing.

- Advanced SQL skills for data extraction, transformation, and analysis.

- Deep understanding of Machine Learning algorithms and statistical modeling techniques.

- Experience with Time-Series Analysis and Forecasting models such as ARIMA, Prophet, or LSTM.

- Strong experience building data visualizations and dashboards using Power BI.

- Experience working with large-scale structured and unstructured datasets.

- Strong analytical, problem-solving, and communication skills.