Senior Data Scientist
3 days ago
Summary
The role of the Senior Data Scientist is critical to enhancing data-driven decision-making and innovation through advanced analytics and machine learning across both business and R&D functions.
Main Responsibilities
As a Senior Data Scientist, you will be responsible for leveraging your expertise to solve complex business challenges through data analytics. Your primary duties include:
- Design, develop, and deploy machine learning and advanced analytics models to solve complex business problems.
- Analyze large, structured, and unstructured datasets to extract insights and trends.
- Collaborate closely with business stakeholders, product teams, and engineers to define data-driven solutions.
- Build predictive, prescriptive, and descriptive models using statistical and ML techniques.
- Develop and maintain end-to-end data pipelines and feature engineering processes.
- Validate model performance, conduct A/B testing, and ensure model robustness and scalability.
- Communicate insights and recommendations clearly to technical and non-technical stakeholders.
- Mentor junior data scientists and contribute to best practices, standards, and governance.
- Stay up to date with emerging trends in data science, AI, and analytics.
Key Requirements
- 6+ years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics.
- Strong proficiency in Python or R for data analysis and model development.
- Solid understanding of statistics, probability, and machine learning algorithms.
- Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar.
- Strong SQL skills and experience working with large datasets.
- Hands-on experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn, etc.).
- Experience deploying models into production environments.
- Strong problem-solving, analytical, and communication skills.
Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of big data technologies (Spark, Databricks, Hadoop).
- Exposure to MLOps, CI/CD pipelines, and model lifecycle management.
- Experience working in manufacturing, chemicals, materials science, or industrial domains.
- PhD or Master's degree in Data Science, Statistics, Computer Science, or related fields.
Other Details
Location: Pune, Hybrid
Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related discipline.
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