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SI&OP Data Scientist

Pay
USD 131,773–233,781/year · Base — pay source
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
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Work setting
Remote — work setting source
Listed location: Remote CA
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workWORK AUTHORIZATION REQUIREMENT

What you’ll work on

Full posting
  • Own time-series, AI and machine learning models that forecast product sales by geography and segment

  • Monitor forecast accuracy and bias, and refine models to improve forecast quality

  • Design models for inventory optimization, safety stock and supply capacity constraint plans

  • Build scenario planning analysis to weigh service levels, costs and operational risk

  • Build data pipelines and dashboards that track model performance and SI&OP KPIs

From the employer’s posting
Own the predictive time-series, AI, and Machine Learning models used for forecasting product sales across Slate’s business units
Monitor forecasts accuracy, forecast bias, and other measures to drive ongoing forecast model refinement to improve forecast quality.
Design models to drive inventory optimization, safety stock development, and supply capacity constraint reduction plans.
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.
Education & alternatives
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.

About Recar

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.

In the employer’s words · Read in context

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Posting record

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Status in our records
Live
First seen by us
Oct 3, 202632 days ago
Recorded sightings
62
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$132K–$234K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 32

Similar jobs usually come down between day 7 and day 55.

From 10,040 similar postings that came down. Coming down is not always a hire.

Recar is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Excel
  • Tableau
Where the posting names them
- 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.

Your next step

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Source details

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Pay
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
Location & working pattern

Remote CA

Working pattern and location restrictions need checking in the full posting.

Work authorization
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?

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