Partner with product, engineering, and business teams to define requirements and deliver actionable data-driven insights.
Analyze large, complex datasets to develop actionable insights that support strategic and operational decision-making.
Design and develop data pipelines, ETL processes, and analytical tools using SQL and Python.
Lead Python-based development for automation, data transformation, integration tasks, and ML/AI pipeline development.
Conduct in-depth exploration and advanced analytics to uncover patterns, anomalies, and business opportunities.
Apply machine learning, advanced analytics, and GenAI techniques to solve business problems.
Perform feature engineering, model validation, and performance optimization for ML models.
Stay current with emerging trends in AI/ML and recommend innovative approaches and technologies.
Ensure data quality, governance, and compliance with organizational standards and best practices
Contribute to and help improve CI/CD processes for analytics including version control (Git)
Apply DevOps principles to improve reliability, monitoring, and maintainability of analytical workflows.
Identify opportunities for operational improvements and promote consistent data quality standards across analytics teams.
Maintain and enhance documentation, ensuring clarity and alignment across stake holders.
What you will bring:
B.E/B.Tech in Computer Science, Data Science or Engineering; master’s in data science is preferred.
5–7 years of professional experience in data science and advanced analytics.
Expertise in SQL includes complex querying, performance tuning, and data modeling.
Advanced proficiency in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Solid understanding of machine learning algorithms, statistical modeling, and applied mathematics.
Experience in deploying ML models into production environments.
Good understanding and exposure to GenAI concepts and practical applications
Strong analytical, problem-solving, and communication skills.
Solid experience working with cloud platforms such as AWS, GCP and Azure.
Career Break:
We have a Relaunch Program for professionals looking to restart their careers after a break. If you come with a career break of at least 12 months and match the work experience requirements mentioned, you are welcome to apply.
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
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