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.