Sr. Data Scientist

Job Summary

We are seeking a skilled Senior Data Engineer (Senior Data Scientist) to join our Pricing Analytics - Enterprise Strategy - Global Financial Division Team. You will design and build scalable data platforms, pipelines, and cloud solutions that power global pricing decisions. You will solve complex data challenges, lead technical design, and transform diverse data sources into trusted data products. Working with data scientists, analysts, engineers, and business stakeholders, you will help establish engineering standards and shape the future of data and AI-driven pricing.

The preference for this role is to be based out of Brigade World Trade Center Office, Chennai, India.

What You Will Do:

• Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Perform debugging, troubleshooting, modifications and testing of integration solutions
• Operationalize the developed jobs, processes and models.
• Create databases and infrastructure to process data at scale
• Create solutions and methods to monitor systems and solutions
• Automate code testing and pipelines
• Engage with business partners to participate in design and development of data integration/transformation solutions per functional requirements.
• Engage and actively seek industry perspectives through, continuous learning, peer groups, etc.

What You Will Have:

Data Pipeline Development: Ability to design, build, and optimize scalable batch and real-time data pipelines that deliver trusted, high-quality data for analytics, reporting, and AI applications.

Cloud Data Engineering: Experience with cloud-based data platforms, storage, and processing technologies; ability to develop resilient, scalable, and secure data solutions.

Data Modeling Integration: Knowledge of data modeling, transformation, and integration techniques; ability to consolidate diverse data sources into well-governed, consumable data products.

Data Observability Quality: Experience implementing data quality frameworks, monitoring, testing, and automated validation to ensure reliable and trusted data assets.

Collaboration Business Impact: Ability to partner with cross-functional teams to understand business needs and deliver data solutions that support pricing decisions, analytics, automation, and AI-enabled outcomes.

Top Candidates Will Have:

• Extensive experience in designing and developing software applications in Python.
• Experience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc)
• Extensive experience working with Git version control
• Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc.
• Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS
• Experience with databases such as PostgreSQL, Snowflake, Oracle, etc.
• Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
• Demonstrated architecture experience

Additional Details:

• This position requires the candidate to be in Chennai, India
• Relocation assistance is available for this position
• Visa sponsorship is NOT available with this position

Skills desired:

• Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Working Knowledge: explains the basic decision process associated with specific statistics, works with basic statistical functions on a spreadsheet or calculator, explains reasons for common statistical errors, misinterpretations, and misrepresentations, describes characteristics of sample size, normal distributions, and standard deviation, generates and interprets basic statistical data.
• Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: evaluates and makes contributions to best practices; processes large quantities of detailed information with high levels of accuracy; productively balances speed and accuracy; employs techniques for motivating personnel to meet or exceed accuracy goals; implements a variety of cross-checking approaches and mechanisms; demonstrates expertise in quality assurance tools, techniques, and standards.
• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: approaches a situation or problem by defining the problem or issue and determining its significance; makes a systematic comparison of two or more alternative solutions; uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns; identifies the major forces, events and people impacting and impacted by the situation at hand; uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization; utilizes specific tools and techniques to process descriptive and inferential statistics; applies specific computing languages and tools in machine learning, such as R and Python.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.