{"id":1084311,"url":"https://alion.io/job/caterpillar-senior-data-scientist-3","title":"Senior Data Scientist","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":32,"ghost_share":0,"stale_share":0.844,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fargo, United States","Irving, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":112710,"max":183140,"currency":"USD","period":"year","gross":null,"usd_annual":183140},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Kedro","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-21T06:55:07Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-18T09:12:54Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nCATERPILLAR REMANUFACTURING\nDo you have a passion for helping customers and supporting a sustainable solution? Since 1973, Cat Reman has helped bring the value at the core of every Cat product back to life. Customers look to us to provide a high-quality solution that is good for their business - and promotes sustainability. It's important to us to deliver. Our team is full of industry leaders. Together, following common values, we share a passion for delivering sustainability benefits that help the company contribute to a circular economy. It’s rewarding to work, with an inspiring team, where every contribution matters.\nCaterpillar’s Remanufacturing Division is looking for a Senior Data Scientist.Primary location for this position will be Mossville, IL. Additional locations to be considered: Franklin, IN, Corinth, MS, Fargo, ND, & Irving, TX.\nDegree Requirement:\nBachelor’s degree in Engineering, Computer Science, or other Technical field; or proven work experience\nWhat You Will Do:\nLead the design, development, and deployment of advanced analytics, machine learning, and AI-enabled solutions that solve complex business problems across the Reman Division.\nApply statistical modeling, machine learning techniques, optimization methods, forecasting, simulation, and experimentation to identify opportunities, improve decisions, and deliver measurable business value.\nDevelop, 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.\nBuild 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.\nPartner 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.\nResearch, 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.\nUse 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.\nCollaborate 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.\nEstablish and promote data science best practices including source control, code review, automated testing, experiment tracking, model documentation, reproducible pipelines, and deployment standards.\nLead 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.\nChampion sustainable analytical product development by reducing technical debt, improving reusability, and promoting standardized approaches across the Reman Analytics organization.\nDefine and execute standards for model documentation, metadata management, knowledge sharing, monitoring, and operational supportability to improve long-term maintainability of analytical solutions.\nTop Candidates Will Have:\nHands-on experience developing data science and machine learning solutions using Python, including model development, validation, deployment, monitoring, and continuous improvement.\nStrong understanding of supervised and unsupervised learning, forecasting, optimization, statistical analysis, feature engineering, model evaluation, and practical application of ML techniques to business problems.\nExperience building AI-enabled solutions, including generative AI applications, natural language solutions, intelligent agents, or automation tools that improve analytical workflows and business decision-making.\nPractical experience with modern analytics and development tools such as dbt, Kedro, AWS, Docker, Snowflake, Azure DevOps, Git, and Power BI.\nAbility to translate ambiguous business needs into structured analytical approaches, communicate insights clearly, and deliver solutions that are adopted and sustained by the business.\nWorking knowledge of data engineering concepts, ELT/ETL patterns, data modeling, and data quality practices needed to support reliable analytical and machine learning solutions.\nWhat You Will Have:\nBusiness 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.\nLevel Working Knowledge:\nExplains the basic decision process associated with specific statistics.\nWorks with basic statistical functions on a spreadsheet or a calculator.\nExplains reasons for common statistical errors, misinterpretations, and misrepresentations.\nDescribes characteristics of sample size, normal distributions, and standard deviation.\nGenerates and interprets basic statistical data.\nAccuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.\nLevel Extensive Experience:\nEvaluates and makes contributions to best practices.\nProcesses large quantities of detailed information with high levels of accuracy.\nProductively balances speed and accuracy.\nEmploys techniques for motivating personnel to meet or exceed accuracy goals.\nImplements a variety of cross-checking approaches and mechanisms.\nDemonstrates expertise in quality assurance tools, techniques, and standards.\nAnalytical 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.\nLevel Working Knowledge:\nApproaches a situation or problem by defining the problem or issue and determining its significance.\nMakes a systematic comparison of two or more alternative solutions.\nUses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.\nIdentifies the major forces, events and people impacting and impacted by the situation at hand.\nUses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.\nMachine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.\nLevel Working Knowledge:\nCompletes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.\nUtilizes specific tools and techniques to process descriptive and inferential statistics.\nApplies specific computing languages and tools in machine learning, such as R and Python.\nExplores to use machine learning in one own areas to make business improvements.\nConducts data mining and cleaning initiatives.\nProgramming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.\nLevel Working Knowledge:\nParticipates in the implementation and support of specialized programming languages.\nConducts basic reviews on writing a specific programming language within a specific platform.\nAssists with the design and development of specialized programming languages.\nFollows an organization's standards, policies and guidelines for structured programming specifications.\nDiagnoses and reports minor or routine programming language problems.\nQuery 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.\nLevel Extensive Experience:\nWrites, debugs and implements complex queries involving multiple tables or databases.\nWorks with aggregate functions, complex joins, groupings, dynamic and embedded SQL's (Structured Query Languages).\nTeaches others about query optimization techniques and facilities.\nConsults on query optimization, interactive queries, testing and verification.\nEvaluates all major database access tools and functions for distributed databases.\nCompares and contrasts the benefits and drawbacks of various SQL products.\nRequirements 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.\nLevel Working Knowledge:\nFollows policies, practices and standards for determining functional and informational requirements.\nConfirms deliverables associated with requirements analysis.\nCommunicates with customers and users to elicit and gather client requirements.\nParticipates in the preparation of detailed documentation and requirements.\nUtilizes specific organizational methods, tools and techniques for requirements analysis.\nWhat You Will Get!\nOur goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world.\nHere you earn more than just an hourly wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of annual bonuses.\nAdditional benefits include paid vacation days and paid holidays (prorated based upon hire date).\nMedical, dental, and vision coverage\nPaid time off plan (Vacation, Holiday, Volunteer, Etc.)\n401k savings plan\nHealth savings account (HSA)\nFlexible spending accounts (FSAs)\nShort and long-term disability coverage\nLife Insurance\nPaid parental leave\nHealthy Lifestyle Programs\nEmployee Assistance Programs\nVoluntary Benefits (Ex. Accident, Identity Theft Protection)\nAll eligible candidates MUST pass the following pre-employment screenings before they can be hired to any Caterpillar position:\nBackground Screening\nDrug & Alcohol Screening\nPlease 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\nKeep 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.\nVisa sponsorship is NOT available for this position.\nThis employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at www.caterpillar.com/careers\nDomestic relocation assistance is offered for this position.\nAbout Caterpillar\nCaterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. 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