This position is ideal for an experienced Senior Data Scientist who can design, build, and deploy advanced machine learning models while driving data-driven decision-making across the organization. The role involves working with large and complex datasets, developing scalable ML pipelines, and implementing end-to-end solutions within cloud environments such as Azure. You will collaborate closely with engineering, product, and business teams to convert analytical insights into meaningful business outcomes.
Key Responsibilities
- Develop and deploy predictive and prescriptive machine learning models.
- Analyze large datasets to uncover trends, patterns, and actionable business insights.
- Work with cross-functional teams to design data-driven solutions aligned with business goals.
- Perform data preprocessing, feature engineering, and model optimization.
- Evaluate model performance using appropriate statistical and ML metrics.
- Build scalable machine learning pipelines and integrate models into production systems.
- Present insights through dashboards, visualizations, and clear reporting.
- Engage with stakeholders and explain technical findings to non-technical audiences.
What Makes You a Outstanding Fit
- Strong background in machine learning model development, deployment, and MLOps.
- Proficiency in Python or R, with hands-on experience in SQL, Pandas, NumPy, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working in cloud environments, especially Azure, and familiarity with tools like Power BI or automation platforms.
- Excellent problem-solving abilities and a deep understanding of data science workflows.
- Ability to translate technical insights into clear business recommendations.
- Strong communication and stakeholder management skills.
- Advanced degree in a quantitative field and 8–10+ years of overall experience (with 2–4 years relevant to data science).
📌 Sr. Data Scientist (Pune)
🏢 Recognized
📍 Pune
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