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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Caterpillar - **Location:** Corinth, MS, United States - **Experience:** Expert - **Salary:** $112,710.0 - $183,140.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Code Review, Computer Programming, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Mining, Database Connection, Software Debugging, Programming Tools, Distributed Data Store, Embedded SQL, Python (Programming Language), Machine Learning, Meta-Data Management, Pareto Chart, Query Optimization, Power BI, Software Engineering, SQL Databases, Structured Programming, Feature Engineering, Snowflake, Model Validation, Technical Debt, Git, Information Technology, Data Management, Virtual Agents, Software Version Control, Data Pipelines, Docker, Unsupervised Learning, Programming Languages - **Published:** August 22, 2026 - **Apply:** https://www.juju.com/job/00000000gohrim ## About the Role + Bachelor's degree in Engineering, Computer Science, or other Technical field; or proven work experience, + Hands-on experience developing data science and machine learning solutions using Python, including model development, validation, deployment, monitoring, and continuous improvement. + Strong understanding of supervised and unsupervised learning, forecasting, optimization, statistical analysis, feature engineering, model evaluation, and practical application of ML techniques to business problems. + Experience building AI-enabled solutions, including generative AI applications, natural language solutions, intelligent agents, or automation tools that improve analytical workflows and business decision-making. + Practical experience with modern analytics and development tools such as dbt, Kedro, AWS, Docker, Snowflake, Azure DevOps, Git, and Power BI. + Ability to translate ambiguous business needs into structured analytical approaches, communicate insights clearly, and deliver solutions that are adopted and sustained by the business. + Working knowledge of data engineering concepts, ELT/ETL patterns, data modeling, and data quality practices needed to support reliable analytical and machine learning solutions. What You Will Have: 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., 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. + Explores to use machine learning in one own areas to make business improvements. + 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. Level Working Knowledge: + Participates in the implementation and support of specialized programming languages. + Conducts basic reviews on writing a specific programming language within a specific platform. + Assists with the design and development of specialized programming languages. + Follows an organization's standards, policies and guidelines for structured programming specifications. + 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. Level Extensive Experience: + Writes, debugs and implements complex queries involving multiple tables or databases. + Works with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages). + Teaches others about query optimization techniques and facilities. + Consults on query optimization, interactive queries, testing and verification. + Evaluates all major database access tools and functions for distributed databases. + Compares 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. Level Working Knowledge: + Follows policies, practices and standards for determining functional and informational requirements. + Confirms deliverables associated with requirements analysis. + Communicates with customers and users to elicit and gather client requirements. ## Description + Develop, validate, and operationalize descriptive analytics and predictive models using Python and modern data science practices while ensuring solutions are explainable, maintainable, and aligned to business objectives. + Build analytics products and decision-support tools that combine machine learning outputs, curated data assets, and intuitive Power BI reporting to improve adoption and business actionability. + Partner with business stakeholders to frame analytical problems, define success measures, translate business requirements into data science solutions, and communicate insights to technical and non-technical audiences. + Research, prototype, and implement emerging AI development approaches, including generative AI, intelligent agents, natural language interfaces, and automation opportunities that improve business processes and analytical productivity. + Use python, Kedro, dbt, Docker, AWS, Snowflake, Azure DevOps, and related tools to create repeatable, governed, and production-ready analytical workflows that support model development, deployment, and monitoring. + Collaborate with data engineering and platform partners to ensure required data pipelines, semantic models, data quality frameworks, and governed data products are available to support scalable analytical solutions. + Establish and promote data science best practices including source control, code review, automated testing, experiment tracking, model documentation, reproducible pipelines, and deployment standards. + Lead Agile planning, analytical design reviews, model review discussions, and project execution efforts while mentoring team members on data science, machine learning, AI development, and analytics engineering practices. + Champion sustainable analytical product development by reducing technical debt, improving reusability, and promoting standardized approaches across the Reman Analytics organization. + Define and execute standards for model documentation, metadata management, knowledge sharing, monitoring, and operational supportability to improve long-term maintainability of analytical solutions., Please ensure you frequently sign into your candidate home for any updates or correspondence for positions that you have applied for. https://cat.wd5.myworkdayjobs.com/CaterpillarCareers Keep a frequent check on emails as correspondence will be sent to the email that you used to apply with. If you wish to know the status of your application - please use the candidate log-in on our career website as it will reflect any updates to your status. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)