{"id":1770333,"url":"https://alion.io/job/slate-auto-siop-data-scientist","title":"SI&OP Data Scientist","company":{"id":1772423,"name":"Slate Auto","domain":"slate.auto","url":"https://alion.io/company/slate-auto","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":13,"ghost_share":0,"stale_share":0.615,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":{"min_usd":118000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":397},"experience_years_min":6,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-11-03T12:29:05Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"ABOUT SLATE\nAt Slate, we’re building safe, reliable vehicles that people can afford, personalize and love-and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them.\nWHO WE ARE LOOKING FOR\nSlate is looking for an energetic, organized, experienced SI&OP Data Scientist to join our growing team.\nAs an SI&OP Data Scientist, you will own the forecast models used for supporting the Sales, Inventory, and Operations Planning process. You will do this through building and deploying statistical, AI, and Machine Learning models to forecast demand (sales planning), optimize inventory levels, and align procurement and production activities to meet customer requirements and business objectives. You will own the analytical side of SI&OP across the business units of Slate, including vehicle (consumer and fleet), service parts, accessories, and apparel and merchandise. You will work cross-functionally with the individual business units, Sales, Marketing, Brand, Engineering, Purchasing, Production, and Finance to develop a rolling 12 -24 month executable business plan.\nWHAT YOU GET TO DO\nOwn the predictive time-series, AI, and Machine Learning models used for forecasting product sales across Slate’s business units while driving the forecast down to various geographies and segments.\nMonitor forecasts accuracy, forecast bias, and other measures to drive ongoing forecast model refinement to improve forecast quality.\nPartner with SI&OP Analysts to run root-cause variance analyses and evaluate planning deviations.\nTranslate complex outputs into clear, actionable operational insights for non-technical stakeholders.\nDesign models to drive inventory optimization, safety stock development, and supply capacity constraint reduction plans.\nBuild and maintain forecasts and processes that allow scenario planning based on different demand and supply inputs.\nTranslate complex business questions into structured scenario analysis to evaluate trade-offs between service levels, costs, and operational risks.\nOwn and scale data pipelines and data quality driving to automated reporting dashboards in order to track model performance, forecast accuracy, inventory optimization and other KPIs.\nDevelop, track, and report key performance indicators (KPIs) related to SI&OP, including, forecast accuracy (at multiple time lags), inventory turns, service levels, and production / procurement performance.\nSupport the monthly SI&OP cycle through meeting presentation preparation, analysis to support SI&OP recommendations, and SI&OP KPI report outs.\nDrive a continuous improvement mindset within SI&OP, focusing on SI&OP processes, forecast accuracy, inventory management, and overall process efficiencies.\nWHAT YOU BRING TO THE TEAM\nBachelor’s Degree in Data Science, Mathematics, or Statistics (with an emphasis on Business Administration) or Business Administration, Supply Chain Management, Finance (with an emphasis on Data Analytics) or equivalent is required.\n6+ years of experience in Data Science, with hands-on experience working within SI&OP, Demand Planning, or Business Management / Strategy strongly preferred.\nExperience with AI, machine learning, and predictive analytics to create forecasting models.\nStrong analytical skills, with sufficient understanding of data interpretation and forecasting models (both statistical and non-statistical).\nProficiency in Microsoft Excel and/or other data analysis tools, such as SmartSheets, Tableau, Alteryx, or other scripting tools.\nStrong verbal and written communication skills, with an understanding of how to present complex data in easily understood ways to multiple levels with the business.\nStrong problem solving capabilities, with an attention to detail.\nComfortable in start-up environments. You can roll up your sleeves to do the work and build, or recommend the tools needed to be successful as the company grows.\nA proactive, “one company” teammate with a continuous improvement approach, equally comfortable with warehousing practices, material management, business planning, and financial implications.\nCapability to work cross-functionally with external partners and internal teams, building strong relationships that produce positive results.\nPHYSICAL REQUIREMENTS\nMust have the ability to travel (up to 10%).\nMust have the ability to lift and carry up to 35 pounds.\nMust have the ability to stand, walk, and perform repetitive tasks for extended periods.\nSALARY RANGE\nThe compensation for this position is the range Slate reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; work location; and other relevant business and organizational factors.\nAnnual Base Pay Range: $131,773 to $233,781 USD\nADDITIONAL COMPENSATION AND BENEFITS\nSlate offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in the equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.\nWORK AUTHORIZATION REQUIREMENT\nApplicants must be authorized to work in the United States on a permanent basis. We are unable to offer visa sponsorship at this time.\nWHY JOIN TEAM SLATE?\nAt Slate, we’re fueled by grit, determination, and attention to detail. The start-up spirit of ingenuity and resourcefulness move our business forward. Team Slate fosters a culture of excellence, innovation, and mutual respect, and is motivated by shared principles.\nSafety First\n\nDelight Customers\n\nOne Team\n\nRelentless Improvement\n\nFast, Frugal, and Scrappy\n\nRespectful Collaboration\n\nPositive Legacy\n\nWE WANT TO WORK WITH PEOPLE THAT REFLECT THE COMMUNITIES IN WHICH WE OPERATE.\nSlate is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.\nSlate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. 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