SI&OP Data Scientist

🔥 1 minute ago

🏄 California, Michigan – Remote

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💵 $131.8k - $233.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Slate Auto

Slate Auto

201 - 500 employees

🚘 Automotive

🏭 Manufacturing

🚗 Transport

Automotive • Manufacturing • Transport

Slate Auto is a manufacturer of a radically simple, highly customizable electric pickup that can be configured as a pickup or fastback SUV. The company sells directly to consumers with an online configurator called the Slate Maker, a reservation model, and an accessories marketplace for swaps and upgrades. Slate Auto emphasizes affordability, practical design, and easy ownership with integrated charging options and third‑party service and charging network partnerships.

📋 Description

• 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

• 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

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

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