Your role and responsibilities
In this role, you will partner your key stakeholders to identify opportunities to drive value through data and analytics solutions, work with our team of business analysts, junior data scientists, developers to drive experimentation, pilot and scale analytics solutions and track value impact.
The work model for the role is #LI-Hybrid
This role is contributing to the Corporate Advanced Analytics team in Bangalore Location.
You will be mainly accountable for:
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop, and maintain analytical models that support key business decisions.
- Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations.
- Engage with stakeholders to understand their business needs, formulate and complete end-to-end analysis that in-cludes data gathering, analysis, ongoing scaled deliverables, and presentations.
- Implement agile methodologies in all aspects of project life cycle, ensuring timely delivery of high-quality products.
- Drive the collection of new data and the refinement of existing data sources; assess the effectiveness and accuracy of new data sources and data gathering techniques
Qualifications for the role
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, or related field.
- 4+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments.
- Strong problem-solving skills with an emphasis on product development.
- Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large da-ta sets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.