Build and maintain statistical demand forecasting models
Own end-to-end demand planning for assigned product lines
Analyze shipment, inventory and point-of-sale data to find forecast error causes
Build and maintain planning dashboards and automated accuracy reporting
Support Sales and Operations Planning with scenario analyses and recommendations
From the employer’s posting
Develop and maintain statistical demand forecasting models
Own the end-to-end demand planning process for assigned product lines
Analyze historical shipment, inventory, and point-of-sale data to identify demand patterns, forecast variances, and root causes of forecast error
Build and maintain centralized planning dashboards and reporting tools
Support monthly and quarterly Sales and Operations Planning processes by delivering demand insights, scenario analyses, and recommendations to planning leadership
6+ years of experience in demand planning, supply chain analytics, or business planning with demonstrated ownership of statistical forecasting processes
Experience building and maintaining demand forecasting models using quantitative and statistical methods
Experience working with large datasets using SQL or similar data querying tools to extract and analyze supply chain or sales data
Experience developing planning dashboards and automated reporting tools to support business decision-making
Experience communicating complex analytical findings and forecast recommendations to cross-functional teams and planning leadership
Preferred experience
Familiarity with product lifecycle planning, channel inventory management, or new product introduction forecasting
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience using Python or R for statistical modeling and demand signal analysis
Qualification wording
11. 6+ years of experience in demand planning, supply chain analytics, or business planning with demonstrated ownership of statistical forecasting processes
12. Experience building and maintaining demand forecasting models using quantitative and statistical methods
13. Experience working with large datasets using SQL or similar data querying tools to extract and analyze supply chain or sales data
14. Experience developing planning dashboards and automated reporting tools to support business decision-making
15. Experience communicating complex analytical findings and forecast recommendations to cross-functional teams and planning leadership
16. Familiarity with product lifecycle planning, channel inventory management, or new product introduction forecasting
17. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
20. Experience using Python or R for statistical modeling and demand signal analysis
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How this job compares
Pay
In line with similar jobs
$118K$195K
$126K–$182K against $118K–$195K, the middle half of what similar US postings state.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 17
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Where the posting names them
19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
20. Experience using Python or R for statistical modeling and demand signal analysis
21. Experience with demand planning software or advanced planning systems such as SAP IBP, Kinaxis, or comparable platforms
12. Experience building and maintaining demand forecasting models using quantitative and statistical methods
13. Experience working with large datasets using SQL or similar data querying tools to extract and analyze supply chain or sales data
14. Experience developing planning dashboards and automated reporting tools to support business decision-making
20. Experience using Python or R for statistical modeling and demand signal analysis
21. Experience with demand planning software or advanced planning systems such as SAP IBP, Kinaxis, or comparable platforms
22. Experience supporting Sales and Operations Planning processes in a consumer electronics or hardware product environment
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Notices this year and last cover 3,792 people. The latest was filed May 22, 2026.State WARN notices
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
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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.
**Summary:**
Meta is seeking an experienced Demand Planner to support supply chain and business planning functions through rigorous data analysis and forecasting. In this role, you will develop and maintain demand forecasting models that inform inventory positioning, capacity planning, and go-to-market readiness across Meta's hardware and consumer product lines. You will partner closely with supply chain, finance, product, and sales operations teams to translate market signals and business inputs into actionable demand plans that drive efficient resource allocation and minimize supply-demand imbalances.
**Required Skills:**
Demand Planner, Strategic Analytics Responsibilities:
1. Develop and maintain statistical demand forecasting models that integrate sell-through data, market trends, promotional calendars, and product lifecycle signals
2. Own the end-to-end demand planning process for assigned product lines, including baseline forecasting, consensus planning, and exception management
3. Analyze historical shipment, inventory, and point-of-sale data to identify demand patterns, forecast variances, and root causes of forecast error
4. Collaborate with supply chain, finance, and product teams to align demand plans with inventory targets, capacity constraints, and financial commitments
5. Build and maintain centralized planning dashboards and reporting tools that enable automated tracking of forecast accuracy, bias, and key demand planning metrics
6. Support monthly and quarterly Sales and Operations Planning processes by delivering demand insights, scenario analyses, and recommendations to planning leadership
7. Translate ambiguous business inputs and market intelligence into structured demand assumptions and quantitative forecast adjustments
8. Identify gaps in planning data infrastructure and partner with data engineering and analytics teams to prioritize and deliver improvements
9. Communicate forecast rationale, risks, and opportunities to cross-functional stakeholders and planning leadership in a clear and structured manner
10. Develop scenario and sensitivity analyses to assess the demand impact of product launches, channel shifts, promotional events, and macroeconomic changes
**Minimum Qualifications:**
Minimum Qualifications:
11. 6+ years of experience in demand planning, supply chain analytics, or business planning with demonstrated ownership of statistical forecasting processes
12. Experience building and maintaining demand forecasting models using quantitative and statistical methods
13. Experience working with large datasets using SQL or similar data querying tools to extract and analyze supply chain or sales data
14. Experience developing planning dashboards and automated reporting tools to support business decision-making
15. Experience communicating complex analytical findings and forecast recommendations to cross-functional teams and planning leadership
**Preferred Qualifications:**
Preferred Qualifications:
16. Familiarity with product lifecycle planning, channel inventory management, or new product introduction forecasting
17. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
18. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
20. Experience using Python or R for statistical modeling and demand signal analysis
21. Experience with demand planning software or advanced planning systems such as SAP IBP, Kinaxis, or comparable platforms
22. Experience supporting Sales and Operations Planning processes in a consumer electronics or hardware product environment
**Public Compensation:**
$126,000/year to $182,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.