Data Scientist

*************************Immediate Opening**************************

Roles & Responsibilities:

• Python & SQL

  Work on data extraction, transformation, and manipulation using Python scripts and optimized SQL queries.

• Machine Learning Modeling

  Design, train, evaluate, and tune machine learning models to solve real-world problems.

• MLOps & Deployment

  Support model lifecycle management and deployment using AWS SageMaker, Azure ML, or similar MLOps tools.

• Cloud Platforms

  Leverage cloud services like AWS Glue, Azure Data Factory, and Databricks for scalable data science workflows.

• Data Visualization

  Create insightful dashboards and reports using Power BI, Tableau, or Python visualization libraries.

• Data Storytelling

  Present data-driven narratives and actionable insights to technical and non-technical stakeholders.

• Cross-functional Collaboration

  Work with business analysts, engineers, and product teams to gather requirements and translate them into data solutions.

• Agile Practices

  – Participate in Scrum ceremonies including sprint planning, stand-ups, and retrospectives.

• Performance Optimization

  – Identify performance bottlenecks and recommend solutions to improve model and pipeline efficiency.

• Quality Assurance

  – Write test cases and assist in validating data outputs to ensure the integrity and accuracy of results.

• Problem Solving

  – Troubleshoot production issues and collaborate with team members to provide timely solutions.

• Team Support

  – Take direction from senior team members and actively contribute to development and support tasks.