Senior Data Scientist

Career Area: Technology, Digital and Data

Job Summary

Senior Data Scientist to design, develop, and deploy advanced AI/ML solutions that drive business impact. The ideal candidate will possess deep expertise in statistics, machine learning, large language models (LLMs), model evaluation, and Python-based solution development. This role will partner closely with product, engineering, and business stakeholders to develop scalable analytics and Generative AI solutions that improve decision-making, automation, and customer experiences.

Responsibilities

• Apply advanced statistical techniques to analyze large-scale structured and unstructured datasets, identify insights, and quantify business impact.
• Develop end-to-end ML and GenAI pipelines, including data preparation, model training, fine-tuning, evaluation, deployment, and monitoring.
• Build scalable Python-based solutions and reusable ML components that integrate with enterprise platforms and cloud environments.
• Collaborate with cross-functional teams to translate business problems into analytical solutions and communicate findings to technical and non-technical stakeholders.
• Stay current with emerging AI, machine learning, and LLM advancements, driving innovation and adoption of best practices.

Skill Descriptors

• 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.
• Level Working Knowledge: Works with basic statistical functions on a spreadsheet or a calculator.
• Level Working Knowledge: Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
• Level Working Knowledge: Describes characteristics of sample size, normal distributions, and standard deviation.
• Level Working Knowledge: 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.
• Accuracy and Attention to Detail: Level Extensive Experience: Evaluates and makes contributions to best practices.
• Accuracy and Attention to Detail: Level Extensive Experience: Processes large quantities of detailed information with high levels of accuracy.
• Accuracy and Attention to Detail: Level Extensive Experience: Productively balances speed and accuracy.
• Accuracy and Attention to Detail: Level Extensive Experience: Employs techniques for motivating personnel to meet or exceed accuracy goals.
• Accuracy and Attention to Detail: Level Extensive Experience: Implements a variety of cross-checking approaches and mechanisms.
• Accuracy and Attention to Detail: Level Extensive Experience: 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.
• Analytical Thinking: Level Working Knowledge: Makes a systematic comparison of two or more alternative solutions.
• Analytical Thinking: Level Working Knowledge: Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
• Analytical Thinking: Level Working Knowledge: Identifies the major forces, events and people impacting and impacted by the situation at hand.
• Analytical Thinking: Level Working Knowledge: 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.
• Machine Learning: Level Working Knowledge: Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
• Machine Learning: Level Working Knowledge: Utilizes specific tools and techniques to process descriptive and inferential statistics.
• Machine Learning: Level Working Knowledge: Applies specific computing languages and tools in machine learning, such as R and Python.
• Machine Learning: Level Working Knowledge: Explores to use machine learning in one own areas to make business improvements.
• Machine Learning: Level Working Knowledge: Conducts data mining and cleaning initiatives.
• Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Programming Languages: Level Working Knowledge: Participates in the implementation and support of specialized programming languages.
• Programming Languages: Level Working Knowledge: Conducts basic reviews on writing a specific programming language within a specific platform.
• Programming Languages: Level Working Knowledge: Assists with the design and development of specialized programming languages.
• Programming Languages: Level Working Knowledge: Follows an organizations standards, policies and guidelines for structured programming specifications.
• Programming Languages: Level Working Knowledge: Diagnoses and reports minor or routine programming language problems.
• Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Query and Database Access Tools: Level Extensive Experience: Writes, debugs and implements complex queries involving multiple tables or databases.
• Query and Database Access Tools: Level Extensive Experience: Works with aggregate functions, complex joins, groupings, dynamic and embedded SQLs (Structured Query Languages).
• Query and Database Access Tools: Level Extensive Experience: Teaches others about query optimization techniques and facilities.
• Query and Database Access Tools: Level Extensive Experience: Consults on query optimization, interactive queries, testing and verification.
• Query and Database Access Tools: Level Extensive Experience: Evaluates all major database access tools and functions for distributed databases.
• Query and Database Access Tools: Level Extensive Experience: Comparers and contrasts the benefits and drawbacks of various SQL products.
• Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
• Requirements Analysis: Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements.
• Requirements Analysis: Level Working Knowledge: Confirms deliverables associated with requirements analysis.
• Requirements Analysis: Level Working Knowledge: Communicates with customers and users to elicit and gather client requirements.
• Requirements Analysis: Level Working Knowledge: Participates in the preparation of detailed documentation and requirements.
• Requirements Analysis: Level Working Knowledge: Utilizes specific organizational methods, tools and techniques for requirements analysis.

This position requires working onsite five days a week.

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.