Responsibilities:

- Develop and implement machine learning models and algorithms on the Azure cloud platform to solve complex business problems.

- Collaborate with cross-functional teams (data engineers, business analysts, and IT teams) to gather, process, and analyze large datasets.

- Use Azure Machine Learning Studio, Databricks, and other Azure tools to build and deploy scalable data science solutions.

- Optimize machine learning models for performance, scalability, and accuracy using Azure services.

- Conduct exploratory data analysis (EDA) to discover patterns, correlations, and insights from large data sets.

- Build data pipelines using Azure Data Factory, Azure Databricks, and other Azure tools for preprocessing and feature engineering.

- Work with business stakeholders to define key performance indicators (KPIs) and deliver insights via reports, dashboards, and visualizations.

- Stay current with advancements in machine learning, AI, and cloud computing to continually improve models and data pipelines.

- Implement best practices for model training, validation, and evaluation to ensure the robustness of data-driven solutions.

- Ensure that the data science models are compliant with industry regulations and data security standards.

- Document processes and results for knowledge sharing and to support model reproducibility. 
Technical Skills:

- Proficiency in Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics.

- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, etc.).

- Expertise in programming languages such as Python, R, and SQL.

- Experience with data manipulation and preprocessing using libraries like Pandas, Numpy, and Scikit-learn.

- Familiarity with data storage solutions (e.g., Azure Blob Storage, Azure SQL Database).

- Experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn).

- Familiarity with DevOps practices for model deployment and monitoring (e.g., MLOps). 
Soft Skills:

- Excellent analytical and problem-solving abilities.

- Strong communication skills and the ability to present complex data insights to non-technical stakeholders.

- Ability to work collaboratively in a fast-paced and team-oriented environment. 
Qualifications:

- Education:** Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Senior Data Scientist in Bengaluru (UID-9473)

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