Demand Planning

Demand Planning Data Jobs

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Today

Data Engineer, Demand Planning

Tesla Austin, TX

Austin, TX

Today

Full time Data Engineer Data Integration Data Pipeline

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Job Description

Join Tesla as a Data Engineer, Demand Planning and help power forecasting, production planning, and deployment logistics across the energy business. This onsite role in Austin, TX focuses on building scalable modules and data pipelines that support optimization tools used for planning decisions across Tesla manufacturing facilities worldwide.

What you’ll do

Act as the technical owner for energy modules and the associated optimization tools
Develop and maintain algorithms for prioritization and sequencing logic in global factory planning
Build advanced optimization algorithms that balance production constraints with demand patterns
Collaborate with demand planning and production planning teams to automate their processes
Work with operations teams to support planning-based tasks at the factory, warehouse, and operation center level
Design and optimize data models that enable high-performance planning operations
Develop efficient ETL processes to integrate data from Tesla’s in-house ERP system and other sources
Write complex SQL queries to analyze supply-demand dynamics and surface planning opportunities
Support executive reporting by creating data pipelines that turn complex planning data into actionable insights

What you’ll bring

A degree in Computer Science, Engineering, Information Science, Operations Research, or a related field, or equivalent experience
2+ years of experience in Software Development or Data Engineering roles
Advanced Python skills with numerical computing libraries such as NumPy, Pandas, and SciPy
Strong SQL proficiency for complex data manipulation and analysis
Experience applying optimization frameworks and algorithms (linear programming, constraint satisfaction)
Understanding of manufacturing planning concepts and S&P processes
Ability to translate complex business requirements into technical specifications
Experience partnering with cross-functional teams and building organic support for technical initiatives
Excellent judgment and a proactive problem-solving mindset
Self-motivation, strong work ethic, and comfort with a rapid pace of change

Technology focus

Python, NumPy, Pandas, SciPy, SQL, linear programming, constraint satisfaction

Benefits at Tesla

Medical plans with $0 payroll deduction
Family-building benefits including fertility, adoption, and surrogacy
Dental (including orthodontic coverage) and vision plans with $0 paycheck contribution
Company paid HSA contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match
Employee Stock Purchase Plans
Company paid Basic Life and AD&D
Short-term and long-term disability insurance with a 90 day waiting period
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, accrued hours for hourly positions) and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Teslas Babies program
Commuter benefits
Employee discounts and perks program
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire

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1mo ago

Data Analyst – Supply Chain & Logistics

Alchemy Global Solutions Bloomington, IN

Bloomington, IN

1mo ago Closed

$55k+/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

Alchemy Global Solutions is expanding its Bloomington, Indiana on-site team with a Data Analyst focused on supply chain and logistics. This entry-level role centers on preserving data integrity, optimizing processes, and partnering across departments to turn data into actionable decisions that drive daily operations.

Responsibilities

Create, maintain, and automate recurring reports and dashboards that underpin daily supply chain and logistics activities.
Analyze large datasets to uncover trends, variances, and opportunities for process improvement.
Ensure data accuracy and consistency across systems, reports, and workflows.
Support inventory management, transportation performance, warehouse operations, and demand planning through data-driven insights.
Collaborate with operations, procurement, finance, and IT to understand reporting needs and deliver effective solutions.
Monitor KPIs such as on-time delivery, order accuracy, inventory turns, transportation cost metrics, and warehouse productivity.
Assist in root-cause analysis for operational issues and help develop corrective action recommendations.
Document reporting processes, data definitions, and analytical methodologies.
Participate in continuous improvement initiatives aimed at efficiency, accuracy, and operational excellence.

Requirements

Bachelor’s degree in Data Analytics, Supply Chain Management, Business, Finance, Economics, Information Systems, or a related field.
Strong proficiency with Microsoft tools
Proficient with SQL, Power BI, Tableau, or similar analytics platforms
Ability to work with large datasets and maintain a high level of accuracy
Strong analytical thinking, problem-solving skills, and attention to detail
Effective communication skills, including the ability to translate data into clear insights for non-technical audiences
Ability to operate in a fast-paced environment where priorities shift quickly

Technologies

SQL
Power BI
Tableau
Microsoft Tools

Benefits

401(k)
401(k) matching
Dental insurance
Disability insurance
Health insurance
Life insurance
Paid parental leave
Paid time off
Vision insurance

What We Offer

Hands-on experience in a high-impact operational environment
Opportunities for professional development and advancement within supply chain analytics and operations
Collaborative team culture with mentorship from experienced analysts and operations leaders
Competitive compensation and benefits package

Work Environment

This role is based on-site at our Bloomington, IN facility, where you will closely collaborate with operations teams to understand real-time challenges and support data-driven decision-making.

Pay: From $55,000.00 per year
Work Location: In person

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1mo ago

Supply Chain Data Analyst

Buddha Jewelry Seattle, WA

Seattle, WA

1mo ago Closed

$75k - $87k/yr Full time Analyst Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

Buddha Jewelry seeks a data-driven Supply Chain Data Analyst to transform sourcing, inventory, and logistics data into clear, actionable insights. This on-site role in Seattle focuses on maintaining SKU data quality, partnering with cross-functional teams on product lifecycle decisions, and leveraging AI-enhanced forecasting to align supply with demand. The position offers a salary range of USD 75,000 - 87,000 per year.

Responsibilities

Deliver analytics and AI-enhanced reporting across sourcing, inventory, and logistics to inform strategic decisions in the supply chain.
Collaborate with cross-functional teams to analyze product lifecycle data and support decisions with timely, accurate information.
Own the setup and upkeep of SKUs, tags, and item configurations to ensure clean, reliable data across systems.
Identify data-driven improvements to streamline supply chain workflows and boost overall system efficiency.
Manage AI-enabled demand forecasting models and outputs to optimize inventory levels and reduce stockouts or overstock scenarios.

Requirements

3+ years of experience in supply chain analytics, data analysis, or related fields.
Strong analytical abilities with the capacity to translate data into clear, actionable insights.
Experience with demand forecasting, inventory management, or logistics reporting.
Comfort working with AI-enhanced tools and a genuine curiosity about how technology can improve outcomes.
Highly detail-oriented with a focus on data integrity.
Tech-savvy with experience in NetSuite, Shopify, and Google Suite/MS tools.
Strong collaborator capable of partnering with Operations, Finance, and Product teams.
100% on-site presence in Seattle.

Technologies

NetSuite
Shopify
Google Suite
Microsoft Office
Looker
Tableau
Google Data Studio

Benefits

Health insurance
Vision insurance
Life insurance
Dental insurance
SIMPLE retirement savings plan
Commuter benefits
Employee discount
Paid holidays

Physical Demands

Ability to remain stationary 50% or more of the time.
Capability to move around the office to access equipment and resources.
Proficiency in operating a computer and common office devices such as scanners, copiers, and printers.
Frequent handling of non-electronic resources and small items.
Occasional lifting or moving of equipment up to 50 pounds.
Ability to observe, assess, and distinguish office resources, documents, and product-related materials.

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1mo ago

Data Scientist, Demand Forecasting

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1mo ago Closed

$108k - $160k/yr Full time Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

An onsite Data Scientist, Demand Forecasting role with Amazon.com Services LLC based in Bellevue, WA. The position offers a salary range of USD 108,300 to 160,000 per year and requires at least a bachelor's degree along with a minimum of one year of relevant experience. The role centers on building large scale foundation models for demand forecasting across hundreds of millions of products, geographies, and business contexts, and it entails designing and conducting experiments, managing end to end forecasting model lifecycles, and translating findings into production impact.

Responsibilities

Design and run scalable experiments to evaluate foundation model performance across hundreds of millions of products, geographies, and business verticals.
Lead the end to end lifecycle of forecasting models from research and experimentation through production deployment, including defining success metrics, obtaining stakeholder sign off, and guiding rollout.
Run online and offline labs to measure real world impact of forecast improvements beyond accuracy, including downstream supply chain, inventory, and financial outcomes.
Develop and deploy production grade deep learning and statistical models using Python, Scala, SQL, and related tools.
Perform large scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development.
Translate complex research findings into clear insights and recommendations for technical and non technical stakeholders at all levels.
Contribute to Amazon's scientific community and the broader research field through collaboration and publication in top tier venues.

Requirements

1 or more years of experience with data querying languages such as SQL, scripting languages like Python, or statistical/mathematical software such as R, SAS, or Matlab.
2 or more years as a data or research scientist, statistician, or quantitative analyst in an internet based company with large and complex data sources.
Bachelor's degree.

Technologies

Python
Scala
SQL

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign on payments
Restricted stock units RSUs

About the Team

The Demand Forecasting team sits at the heart of Amazon's supply chain, building the science that determines what products are available, when, and at what cost for hundreds of millions of customers worldwide. Our mission is to push the frontier of large scale time series forecasting and to deploy science where it creates real, measurable impact. We are a team of scientists who value both research rigor and real world outcomes. We do not publish

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1mo ago

Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science

Amazon.com Services LLC - A57 Bellevue, WA

Bellevue, WA

1mo ago Closed

$159k - $215k/yr Full time Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

A Data Scientist III focused on SCOT inbound planning at Amazon in Bellevue, WA, builds models to optimize inventory placement and product flows across networks to improve customer experience while reducing costs and carbon footprint.

Responsibilities

Design and implement mathematical models to optimize inventory placement and product flows across networks.
Develop statistical and optimization models for supply chain planning under uncertainty.
Manage multiple high impact projects concurrently.
Collaborate with business and technical stakeholders across teams to identify opportunities to optimize the supply chain.
Present data-driven insights and recommendations to diverse senior stakeholders through technical or business briefs.
Utilize large language models to enhance explainability of optimization solutions and drive engagement from global supply chain planners.

Requirements

Experience with statistical modeling, including multinomial logistic regression.
Experience working as a Data Scientist.
Experience with data scripting languages (SQL, Python, R, etc.) or statistical/mathematical software (R, SAS, Matlab).

Technologies

SQL
Python
R
SAS
Matlab
Tableau
Quicksight
Large Language Models (LLMs)

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D and option for Supplemental life plans)
EAP and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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1mo ago

Lead Data Scientist, Demand Forecasting

Scout Motors Charlotte, NC

Charlotte, NC

1mo ago Closed

$160k - $193k/yr Full time Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Responsibilities

Develop Scout's inaugural probabilistic demand forecasting model, forecasting unconstrained demand at the business-planning granularity, converting reservation backlog into probabilistic signals, timing its conversion, and incorporating organic demand as a separate signal.
Address cold-start by delivering a credible forecast before sales history exists, using reservations, configurator and order data, market analogs, and structured priors, then progressively replace assumptions with real data as the market provides it.
Own demand data end to end: source, define, and steward the data powering the forecast; design pipelines and the feature/data layer; maintain data quality and shared definitions used downstream.
Collaborate across the business to ensure inputs and outputs are grounded in real signals and delivered in a usable format for stakeholders and teams that consume the forecast.
Make the forecast legible by documenting methodology and assumptions, quantifying uncertainty transparently, and explaining the model's logic to non-technical stakeholders in Finance, Commercial, Production, and Procurement.
Work with IT and Product to productionize the model, moving from notebooks into the IBP digital product with pipelines, deployment, monitoring, and retraining capabilities.
Establish forecast measurement, including back-testing, accuracy tracking, and model monitoring, so the forecast improves on a defined cadence as post-launch data accrues.
Lay the foundation for next-generation planning capabilities by building scalable data and modeling infrastructure for Scout's AI/ML initiatives.

Requirements

12+ years of applied data science or forecasting experience, with a track record of building and shipping statistical or ML models that others depend on.
MS or PhD in statistics, applied mathematics, physics, operations research, economics, or a related quantitative field, or equivalent applied experience.
Strong probabilistic and time-series modeling foundation, including hierarchical or Bayesian approaches suited to granular, sparse, and uncertain demand; you reason in distributions, not just point estimates.
Fluency in Python and the modern modeling stack, strong SQL, and the ability to own data end-to-end — pipelines, data quality, and definitions, not only the model.
Experience forecasting with sparse, new-product, or cold-start data using analogs, priors, and judgment-augmented methods, with honesty about their limits.
Experience deploying models in production alongside engineering and product teams, focusing on deployment, monitoring, and retraining.
Comfort working with AI coding tools (for example Claude Code, Copilot, Cursor) to accelerate prototyping and delivery while applying sound judgment on their usefulness.
Ability to translate technical work for non-technical audiences and defend a forecast in cross-functional settings with senior stakeholders.
High ownership mindset and comfort in a fast-moving, evolving environment where data and priorities are still maturing.
Nice to have: automotive or manufacturing experience, demand sensing or hierarchical forecasting, ML Ops, and experience embedding models within a digital product.

Technologies

Python
SQL
Claude Code
Copilot
Cursor

Benefits

Competitive medical, dental, vision and income protection plans
401(k) with employer match and immediate vesting
Generous Paid Time Off including 20 days planned PTO, 40 hours of unplanned PTO and 14 company or floating holidays annually; up to 16 weeks of paid parental leave for biological and adoptive parents; paid leave for bereavement, jury duty, voting time, or military leave

Location and Travel

This role is onsite at Scout Motors corporate headquarters in Charlotte, NC.
Expect 4-5 days per week in the office with regular in-person meetings and events.
Occasional travel to participate in company events and collaborate with colleagues in person.

Pay Transparency

This is a full-time exempt role with base pay plus eligibility for an annual performance bonus. Final salary offered will reflect the candidate's skills and experience. The base salary range is $160,000 to $192,500 per year, and the internal leveling code is IC7. The annual bonus program is preset and not candidate-dependent.

Notice to Applicants

To be considered for opportunities at Scout Motors, applicants must be 18 years of age or older.
San Francisco residents: Scout Motors will consider qualified applicants with arrest or conviction records in accordance with the San Francisco Fair Chance Ordinance.
Los Angeles residents: Scout Motors will consider qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring.
New York City residents: This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is an Equal Opportunity Employer dedicated to a diverse workforce. Qualified applicants will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other legally protected status. Scout Motors complies with all applicable fair employment practice laws.

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1mo ago

Sr Data Scientist, Demand Planning

Intuit San Diego, CA

San Diego, CA

1mo ago Closed

$150k - $203k/yr Full time Analytics Big Data Business Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Intuit offers a benefits-forward culture with a cash bonus, equity rewards, and a comprehensive benefits package. This on-site role is based in San Diego, CA.

Location: San Diego, CA (onsite)

Salary: USD 149,500 - 202,500 per year

Overview

Intuit is seeking a Senior Data Scientist to own demand planning for the Full Service offering within the Consumer Group's Expert Network. You will be the primary modeler and analyst for forecasting Full Service Order volume, translating funnel signals into staffing inputs, and improving forecast accuracy across pre-season, in-season, and off-season horizons. This is an individual-contributor role with high visibility and cross-functional influence on workforce decisions.

What you will do

Lead end-to-end demand forecasting for Full Service, from early-season outlook to real-time in-season adjustments
Develop and maintain models that convert funnel signals (trade-up rates, FSO attach, offer acceptance) into actionable demand inputs for capacity planning
Produce interval-level, daily, and weekly forecasts that inform staffing and partner capacity across internal systems and external channels
Advance forecasting methodology by blending time-series models, regression approaches, and machine learning techniques to improve accuracy
Build scenario models with confidence intervals to quantify risk, including upside and downside demand cases for peak season
Explore and incorporate new signal sources such as marketing spend curves, product funnel data, historical tax filing trends, and macro indicators
Serve as the embedded data science partner for Workforce Management and Capacity Planning, translating outputs into staffing recommendations and operational levers
Collaborate with Finance on demand-to-revenue reconciliation and capacity cost modeling
Work with Marketing and Product on offer strategy and its downstream demand impact, including FSO trade-up promotions and LT offer windows
Support real-time in-season analytics, tracking WIP burndown, FSO funnel conversion, and coverage gap signals
Build and maintain dashboards and data products that surface demand risk to operational and leadership audiences
Contribute to post-season retrospectives on forecast accuracy, bias analysis, and methodology improvements
Write and maintain production-quality SQL and Python code against Intuit's datalake datasets related to capacity planning and FSO funnels
Partner with Data Engineering to improve upstream data quality and pipeline reliability for forecasting use cases
Document models, assumptions, and methodologies to enable reproducibility and stakeholder trust

Requirements

3+ years of experience in data science or quantitative analytics with a focus on forecasting, demand planning, or supply-demand modeling
Strong proficiency in Python (pandas, statsmodels, scikit-learn) and SQL in large-scale data environments
Hands-on experience building and deploying time-series or demand forecasting models in production or operational contexts
Ability to work cross-functionally and communicate model outputs to non-technical stakeholders, including senior leaders
Comfort operating in ambiguous, fast-moving environments, especially during high-stakes operational windows
Bachelor's or Master's degree in Statistics, Data Science, Operations Research, Mathematics, or related quantitative field

Technologies

Python
SQL
pandas
statsmodels
scikit-learn
datalake

Benefits

Cash bonus
Equity rewards
Benefits

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3mo ago

Data Analyst, Supply Chain

Tesla Lathrop, CA

Lathrop, CA

3mo ago Closed

$63k - $113k/yr Full time Analyst Analytics Apache Airflow

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