Job description

ABOUT SLATE At 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. WHO WE ARE LOOKING FOR Slate is looking for an energetic, organized, experienced SI&OP Data Scientist to join our growing team. As 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. WHAT YOU GET TO DO Own 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. Monitor forecasts accuracy, forecast bias, and other measures to drive ongoing forecast model refinement to improve forecast quality. Partner with SI&OP Analysts to run root-cause variance analyses and evaluate planning deviations. Translate complex outputs into clear, actionable operational insights for non-technical stakeholders. Design models to drive inventory optimization, safety stock development, and supply capacity constraint reduction plans. Build and maintain forecasts and processes that allow scenario planning based on different demand and supply inputs. Translate complex business questions into structured scenario analysis to evaluate trade-offs between service levels, costs, and operational risks. Own 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. Develop, 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. Support the monthly SI&OP cycle through meeting presentation preparation, analysis to support SI&OP recommendations, and SI&OP KPI report outs. Drive a continuous improvement mindset within SI&OP, focusing on SI&OP processes, forecast accuracy, inventory management, and overall process efficiencies. WHAT YOU BRING TO THE TEAM Bachelor’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. 6 years of experience in Data Science, with hands-on experience working within SI&OP, Demand Planning, or Business Management / Strategy strongly preferred. Experience with AI, machine learning, and predictive analytics to create forecasting models. Strong analytical skills, with sufficient understanding of data interpretation and forecasting models (both statistical and non-statistical). Proficiency in Microsoft Excel and/or other data analysis tools, such as SmartSheets, Tableau, Alteryx, or other scripting tools. Strong verbal and written communication skills, with an understanding of how to present complex data in easily understood ways to multiple levels with the business. Strong problem solving capabilities, with an attention to detail. Comfortable 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. A proactive, “one company” teammate with a continuous improvement approach, equally comfortable with warehousing practices, material management, business planning, and financial implications. Capability to work cross-functionally with external partners and internal teams, building strong relationships that produce positive results. PHYSICAL REQUIREMENTS Must have the ability to travel (up to 10%). Must have the ability to lift and carry up to 35 pounds. Must have the ability to stand, walk, and perform repetitive tasks for extended periods. SALARY RANGE The 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. Annual Base Pay Range: $131,773 to $233,781 USD ADDITIONAL COMPENSATION AND BENEFITS Slate 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. WORK AUTHORIZATION REQUIREMENT Applicants must be authorized to work in the United States on a permanent basis. We are unable to offer visa sponsorship at this time. WHY JOIN TEAM SLATE? At 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. Safety First Delight Customers One Team Relentless Improvement Fast, Frugal, and Scrappy Respectful Collaboration Positive Legacy WE WANT TO WORK WITH PEOPLE THAT REFLECT THE COMMUNITIES IN WHICH WE OPERATE. Slate 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. Slate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at slate-talent_acquisition slate.auto.

Requirements

Must-haves

Slate is looking for an energetic, organized, experienced SI&OP Data Scientist to join our growing team.
Own 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.
Monitor forecasts accuracy, forecast bias, and other measures to drive ongoing forecast model refinement to improve forecast quality.
Partner with SI&OP Analysts to run root-cause variance analyses and evaluate planning deviations.
Translate complex outputs into clear, actionable operational insights for non-technical stakeholders.
Design models to drive inventory optimization, safety stock development, and supply capacity constraint reduction plans.
Build and maintain forecasts and processes that allow scenario planning based on different demand and supply inputs.
Translate complex business questions into structured scenario analysis to evaluate trade-offs between service levels, costs, and operational risks.
Own 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.
Develop, 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.
Support the monthly SI&OP cycle through meeting presentation preparation, analysis to support SI&OP recommendations, and SI&OP KPI report outs.
Drive a continuous improvement mindset within SI&OP, focusing on SI&OP processes, forecast accuracy, inventory management, and overall process efficiencies.
Experience with AI, machine learning, and predictive analytics to create forecasting models.
Strong analytical skills, with sufficient understanding of data interpretation and forecasting models (both statistical and non-statistical).
Proficiency in Microsoft Excel and/or other data analysis tools, such as SmartSheets, Tableau, Alteryx, or other scripting tools.
Strong verbal and written communication skills, with an understanding of how to present complex data in easily understood ways to multiple levels with the business.
Strong problem solving capabilities, with an attention to detail.
Comfortable 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.
A proactive, “one company” teammate with a continuous improvement approach, equally comfortable with warehousing practices, material management, business planning, and financial implications.
Capability to work cross-functionally with external partners and internal teams, building strong relationships that produce positive results.
Must have the ability to travel (up to 10%).
Must have the ability to lift and carry up to 35 pounds.
Must have the ability to stand, walk, and perform repetitive tasks for extended periods.

Nice-to-haves

6 years of experience in Data Science, with hands-on experience working within SI&OP, Demand Planning, or Business Management / Strategy strongly preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k