Data Scientist

4 weeks ago

India Process Point Technologies Corporation Full time
Role: Data Scientist Experience: Minimum 5 years Open Positions: 1 Key Skills: Python, SQL, Machine Learning (e.g., scikit-learn, XGBoost)Data Analysis, Statistical Modeling, Data Visualization Data Pipeline Tools (e.g., Azure Data Factory, Synapse, Databricks)BI Tools (e.g., Power BI, Tableau) or Python libraries (e.g., Plotly, Matplotlib, Seaborn)Responsibilities: Build and deploy machine learning models (e.g., classification, regression, clustering, forecasting) using frameworks like scikit-learn and cloud-based ML services to address business needs.

Analyze structured and unstructured data using Python, SQL, and relevant analytics tools to uncover trends and generate actionable insights.

Design, implement, and automate data pipelines using tools like Azure Data Factory, Synapse, Databricks, or similar for preprocessing, feature engineering, and model deployment.

Create interactive dashboards and reports using BI tools or Python visualization libraries to present data and insights to stakeholders effectively.

Collaborate with cross-functional teams to define analytical objectives, translate business problems into data science solutions, and communicate results clearly.

Evaluate and validate model performance using techniques such as cross-validation, A/B testing, and drift detection.

Integrate models into production systems and applications via APIs or decision support tools, ensuring scalability and maintainability.

Follow data governance, security, and privacy standards including access control, encryption, and responsible AI compliance.

Maintain detailed documentation of data pipelines, models, assumptions, and analytical workflows for transparency and reproducibility.

Stay informed on advancements in machine learning and data engineering tools to incorporate best practices and foster innovation.

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