The posting
Senior Data Scientist
## Company Overview We are seeking a highly skilled Senior Data Scientist with expertise in finance and manufacturing domains to join our dynamic team.
## Job Summary The Senior Data Scientist will leverage internal and external data sets to identify opportunities for product and process optimization. This role involves using advanced analytics and AI/ML models to drive data-driven decision-making and action, ultimately contributing to the organization’s goals.
## Responsibilities - 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 includes data gathering, analysis, ongoing scaled deliverables, and presentations. - Implement agile methodologies in all aspects of the 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. - Develop custom data models and algorithms to apply to data sets, with a keen focus on financial and manufacturing domains. - Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy.
## Qualifications - Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. - 6+ 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 (R, Python, SQL, etc.) to manipulate data and draw insights from large data 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. - A drive to learn and master new technologies and techniques. - Experience with cloud services (AWS, Azure, GCP) and understanding of scaling analytics projects in cloud environments.
## Preferred Skills - PhD in a relevant field. - Experience deploying AI/ML models in a cloud environment. - Familiarity with cloud technologies for advanced analytics and scaling analytics projects. - Proven experience in stakeholder partnering and agile ways of working in a global organization. - Demonstrated experience in mentoring and leading junior data scientists. - Deep knowledge in one or more functional areas such as finance, operations, sales, account management, etc.
## Experience - 6+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments.
## Environment - This role is based in Bangalore, India, and is a full-time in-office position.
## Salary - Estimated salary range: ₹7,500,000.
## Growth Opportunities - Opportunities for career advancement within the Corporate Advanced Analytics team.
## Benefits - Comprehensive benefits package including health insurance, paid leave, and work policies.



