{"id":3965685,"url":"https://alion.io/job/john-deere-staff-data-scientist","title":"Staff Data Scientist","company":{"id":1756834,"name":"John Deere","domain":"deere.com","url":"https://alion.io/company/deere-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":79,"open_postings":48,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Time Series","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-11-04T17:23:21Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T00:45:16Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.\n John Deere is an equal opportunity employer, including disabled & veterans. \n\n Primary Location: United States (US) - Illinois -\nFunction: Data and Analytics (CA)\nTitle: Staff Data Scientist - 125862\nOnsite/Remote: Remote Position\nThis position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.\n\nYour Responsibilities\nAs a Staff Data Scientist forJohn Deere Inteligence Solutions Group located in Urbandale, IA, you will:\nLead a sub-team of data scientists within the Technology Intelligence Proving Ground, setting priorities, assigning work, and providing day-to-day technical leadership.\nDefine the technical strategy for how the proving ground evaluates and measures the performance of the John Deere technology suite, including its machines, precision technologies, automation and autonomy features, and digital products.\nDesign and run structured performance evaluations and benchmarks of John Deere technologies, with repeatable methods, clear success criteria, and measurable outcomes.\nTake vague ideas from 0 to 1: frame the problem, explore the data, build a working prototype, and carry it through to measurable business impact.\nOperate independently and self-directed. Set your own priorities within the proving ground's goals, and judge how often and when to check in with leadership and stakeholders.\nPersonally build models, analyses, and data pipelines that measure how John Deere technologies perform in real-world use, using John Deere data including PAAW datasets.\nUse PAAW datasets to engineer features that capture machine, operational, and environmental context, and associate that context with technology usage to explain how and where each technology performs.\nLead exploratory data analysis (EDA) to quickly understand new and unfamiliar datasets, surface data quality issues, and identify promising signals.\nMaintain a record of what has been evaluated, the performance results, and the evidence behind each finding across the John Deere technology suite.\nPartner with product, engineering, and business leaders to align evaluations with business priorities and inform product and technology investment decisions.\nDeliver performance findings and improvement recommendations to the product and engineering teams that own each technology, with the documentation and evidence they need to act.\nMaintain an accurate and transparent backlog of your work, and commit to working in an Agile environment as a champion of the process.\nMentor data scientists and engineers through design reviews, code reviews, technical coaching, and knowledge sharing.\nCommunicate findings, risks, and recommendations clearly to technical teams and senior leaders.\nVISA Sponsorship is NOT available for this position\nWhat Skills You Need\nMinimum of 2 years of experience with PhD, 3 years with Master of Science degree, or 5 years with Bachelor's degree.\nSignificant experience creating and delivering production-grade machine learning, deep learning, AI, advanced analytics, or data-intensive software solutions.\nProven track record of taking a vague idea from 0 to 1 and turning it into measurable business impact.\nDemonstrated ability to navigate ambiguity: making progress with incomplete requirements, shifting priorities, and unfamiliar problem spaces.\nExisting knowledge of John Deere technologies, products, and data platforms.\nExisting working knowledge of PAAW datasets, including experience using them to build features that capture machine, operational, and environmental context.\nExperience with feature engineering that links usage data to the conditions it occurred in, such as machine configuration and state, operating practices, and field, weather, or terrain conditions.\nStrong exploratory data analysis (EDA) skills, with the ability to navigate large, unfamiliar, or messy datasets effectively and quickly.\nExperience designing and running technology or product performance evaluations and benchmarks, and drawing sound, evidence-based conclusions from the results.\nAdvanced programming proficiency and strong knowledge of machine learning, statistics, experimentation, model validation, and performance evaluation.\nStrong software engineering foundation, including version control, automated testing, CI/CD, reproducibility, and maintainable code.\nExperience leading a team or workstream, including setting priorities, delegating work, and developing team members.\nExperience operating on an agile team using work management software such as Azure DevOps (ADO), Jira, or similar tools.\nProficiency using AI tools, such as GitHub Copilot, coding agents, and LLM-based assistants, to enhance productivity and accelerate delivery, while reviewing AI-generated work for accuracy and quality.\nStrong written communication, including technical assessments and recommendations written for senior leaders.\nWhat Makes You Stand Out\nExperience at John Deere, or in agriculture, construction, forestry, or other heavy equipment industries.\nExperience with John Deere data and digital products, such as John Deere Operations Center, JDLink machine telemetry, precision agriculture, or autonomy and perception systems.\nExperience working within John Deere's architecture and security review processes and data governance practices.\nExperience working with large, complex datasets such as machine telemetry, geospatial data, imagery, time-series, operational, or agronomic data.\nExperience with product performance analytics, field testing, validation and verification, or running a proving ground.\nExpertise in computer vision, geospatial analytics, remote sensing, time-series modeling, optimization, robotics, autonomy, simulation, generative AI, or edge computing.\nExperience with Databricks, Spark, Kubernetes, distributed computing, model registries, or production model monitoring.\nFamiliarity with responsible AI, privacy, data governance, cybersecurity, and model governance.\nEducation\nIdeally, you will have a degree or equivalent related work experience in the following:\nBachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related technical discipline, or equivalent related work experience.\nAdvanced degree in statistics, mathematics, a quantitative field, engineering, computer science, or an applied AI/ML discipline highly preferred. \nWhat You'll Get\nAt John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:\nFlexible work arrangements\nHighly competitive base pay \nSavings & Retirement benefits (401K and Defined Contribution)\nHealthcare benefits with a generous company contribution in the Health Savings Account\nAdoption assistance\nEmployee Assistance Programs\nTuition assistance\nFitness subsidies and on-site gyms at specific Deere locations\nCharitable contribution match\nEmployee Purchase Plan & numerous discount programs for personal use\nVacation and Holiday Pay\n$123,804.00 - $185,700.00 + Benefits\nFollow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL\nMust be 18 years of age or older to apply\nThe information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.\nThe terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.\nACA Section 1557 Nondiscrimination Notice\nThe John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.","description_format":"text","description_chars":9488,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Farm Machinery","Industrial Machinery"],"lifecycle":[{"event":"open","at":"2026-11-09T14:01:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 165 · green card filings: 43","filings_12m":165,"filings_prev_12m":170,"green_card_filings_12m":43,"median_offered_wage_usd":130433,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":5,"expected_fill_days":30,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-10T00:47:59Z"},"pay":null,"html_url":"https://alion.io/job/john-deere-staff-data-scientist","json_url":"https://alion.io/job/john-deere-staff-data-scientist.json","meta":{"generated_at":"2026-11-10T00:47:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1719,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1756834},"rest":"https://alion.io/mcp/rest/get_company?id=1756834"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjohn-deere-staff-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjohn-deere-staff-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjohn-deere-staff-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/john-deere-staff-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjohn-deere-staff-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3965685}},{"tool":"search_jobs","arguments":{"company":"deere.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3965685},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}