Demand Planning

Demand Planning Data Jobs

9 jobs found

1mo ago

Senior Data Scientist - Demand Planning and Forecasting

Oracle Nashville, TN

Nashville, TN

1mo ago Closed

Full time Senior Advanced Analytics Artificial Intelligence

This position is no longer accepting applications (closed Oct 29, 2026).

Job Description

Oracle is hiring a Senior Data Scientist to build and improve demand forecasting and analytics for networking hardware and data center infrastructure planning in Nashville, TN.

Develop and maintain demand forecasting models for networking hardware and data center infrastructure across short- and long-term planning horizons
Analyze signals and inputs such as historical demand, deployment trends, data center build plans, engineering inputs, and product roadmaps to pinpoint key demand drivers
Create forecasting solutions using time-series, statistical, machine learning, and other methods suited to different products and planning scenarios
Evaluate forecast performance by measuring and improving accuracy, bias, stability, and confidence across products and horizons
Build scenario analytics to estimate base, upside, downside, and what-if impacts on hardware demand
Partner with demand planners to convert analytical outputs into actionable planning recommendations and strengthen forecasting processes
Model demand end-to-end by connecting data center builds, deployment plans, network capacity, product requirements, BOMs, and SKU-level demand
Investigate demand signal quality including anomalies, unexpected shifts, duplicate signals, missing data, and inconsistent planning assumptions
Build scalable data assets by creating datasets and analytical pipelines using SQL and Python
Deliver reusable tooling through analytical frameworks, dashboards, and tools for demand visibility, forecast performance, and planning risk
Collaborate with Data Engineering and technical teams to improve data quality, data availability, and reliability of planning inputs
Automate recurring workflows for analysis, forecasting, reconciliation, and reporting
Apply advanced methods including machine learning, optimization, simulation, and AI/ML when they improve planning or decision-making
Communicate results clearly to planners, engineers, business partners, and senior leadership
Drive projects end-to-end on ambiguous problems by defining analytical approaches and supporting adoption
Contribute to capability building for modern, scalable data science and forecasting for demand planning

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Operations Research, Economics, or a related quantitative field
5+ years of experience in data science, applied science, forecasting, demand planning analytics, operations research, or a related discipline
Strong hands-on programming with Python and advanced SQL
Experience building and deploying forecasting or predictive models using real-world business data
Strong foundations in statistical modeling, time-series forecasting, model evaluation, and experimental or analytical methodologies
Experience with large datasets including data exploration, feature engineering, modeling, and analysis
Ability to translate problems into quantitative models and actionable recommendations
Experience in operational planning such as planning, supply chain, capacity planning, demand forecasting, or related decision processes
Strong communication skills working with both technical and non-technical stakeholders

Technologies

Python
SQL
Machine learning
Time-series forecasting
Statistical modeling
Optimization
Simulation
AI/ML
AI agents
GenAI/LLMs

Preferred Qualifications

Experience with demand planning or forecasting for hardware, cloud infrastructure, networking, semiconductor, or data center environments
Experience with SKU-level demand, BOMs, product lifecycles, NPI, EOL/EOS, or hardware product transitions
Experience connecting data center build plans or deployment schedules to hardware demand forecasts
Experience with networking hardware such as switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components
Experience with advanced forecasting methods including probabilistic forecasting, hierarchical forecasting, causal modeling, gradient boosting, deep learning, or other ML techniques
Experience with scenario modeling, optimization, simulation, or capacity planning
Experience building production-quality data pipelines, analytical datasets, or forecasting platforms
Experience with cloud data platforms, distributed data processing, or large-scale analytics
Experience applying GenAI/LLMs or AI agents to analytics, forecasting, or planning workflows
Experience communicating analytical results and recommendations to senior engineering, business, or executive audiences

Location: Nashville, TN (onsite)

Minimum experience: 5 years

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1mo ago

Data Engineer, Demand Planning

Tesla Austin, TX

Austin, TX

1mo ago Closed

Full time Data Engineer Data Integration Data Pipeline

This position is no longer accepting applications (closed Sep 30, 2026).

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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3mo ago

Data Analyst – Supply Chain & Logistics

Alchemy Global Solutions Bloomington, IN

Bloomington, IN

3mo 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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3mo ago

Supply Chain Data Analyst

Buddha Jewelry Seattle, WA

Seattle, WA

3mo 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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3mo ago

Data Scientist, Demand Forecasting

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

3mo 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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3mo ago

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

Amazon.com Services LLC - A57 Bellevue, WA

Bellevue, WA

3mo 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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3mo ago

Lead Data Scientist, Demand Forecasting

Scout Motors Charlotte, NC

Charlotte, NC

3mo 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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3mo ago

Sr Data Scientist, Demand Planning

Intuit San Diego, CA

San Diego, CA

3mo ago Closed

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

5mo ago

Data Analyst, Supply Chain

Tesla Lathrop, CA

Lathrop, CA

5mo ago Closed

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

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