SI&OP Data Scientist

Slate Auto

. Own predictive time-series, AI, and machine learning models for forecasting product sales across Slate’s business units, geographies, and segments .

Posted 10/2/2026full-timeRemote • United StatesMid-LevelSenior💰 $131,773 - $233,781 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in predictive analytics, machine learning, and data science to drive forecasting and inventory optimization. Strong ability to translate complex data insights into actionable strategies while collaborating cross-functionally to enhance operational efficiency.

Highest-signal resume keywords

Predictive AnalyticsMachine LearningSI&OP ExperienceData InterpretationKPI Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceForecasting ModelsStatistical AnalysisDemand PlanningInventory OptimizationScenario AnalysisData Pipeline ManagementKPI DevelopmentOperational EfficiencyForecast Accuracy

Soft Skills

Strong Communication SkillsProblem-Solving CapabilitiesAttention to DetailCross-Functional CollaborationAdaptability in Startup Environments

Tools & Technologies

Microsoft ExcelSmartSheetsTableauAlteryxData Analysis Tools

Industry Keywords

Supply Chain ManagementBusiness AdministrationFinanceSales ForecastingOperational Risks

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Own predictive time-series, AI, and machine learning models for forecasting product sales across Slate’s business units, geographies, and segments
Monitor forecast accuracy, forecast bias, and related measures to refine forecast models
Partner with SI&OP Analysts on root-cause variance analyses and planning deviation evaluations
Translate complex analytical outputs into actionable operational insights
Design models for inventory optimization, safety stock development, and supply capacity constraint reduction
Build and maintain forecasts and processes for demand and supply scenario planning
Conduct scenario analyses evaluating service levels, costs, and operational risks
Own and scale data pipelines and data quality for automated KPI reporting dashboards
Develop, track, and report SI&OP KPIs, including forecast accuracy, inventory turns, service levels, and production/procurement performance
Support the monthly SI&OP cycle through meeting preparation, recommendation analysis, and KPI reporting
Drive continuous improvement across SI&OP processes, forecast accuracy, inventory management, and operational efficiency
Collaborate cross-functionally with Sales, Marketing, Brand, Engineering, Purchasing, Production, Finance, and business units to develop a rolling 12–24 month executable business plan

Requirements

What you’ll need

Bachelor’s Degree in Data Science, Mathematics, Statistics, Business Administration, Supply Chain Management, or Finance, or equivalent is required
6+ years of experience in Data Science
Hands-on experience within SI&OP, Demand Planning, or Business Management / Strategy strongly preferred
Experience with AI, machine learning, and predictive analytics to create forecasting models
Understanding of data interpretation and statistical and non-statistical forecasting models
Proficiency in Microsoft Excel and/or data analysis tools such as SmartSheets, Tableau, Alteryx, or scripting tools
Strong verbal and written communication skills
Strong problem-solving capabilities and attention to detail
Comfort working in startup environments
Ability to work cross-functionally with external partners and internal teams
Ability to travel up to 10%
Ability to lift and carry up to 35 pounds
Ability to stand, walk, and perform repetitive tasks for extended periods
Must be authorized to work in the United States on a permanent basis
Visa sponsorship is unavailable

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Vacation
401k
Equity program eligibility
Discretionary annual incentive program eligibility