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Demand Forecasting Jobs in California (NOW HIRING)

Revelyst

Demand Planner

Irvine, CA · Hybrid

$83K - $90K/yr

The Demand Planner creates and maintains forecast models for their product category incorporating business intelligence and forecast information gathered from Sales, Product Marketing, and other ...

Revelyst

Demand Planner

Irvine, CA · On-site

$83K - $90K/yr

The Demand Planner creates and maintains forecast models for their product category incorporating business intelligence and forecast information gathered from Sales, Product Marketing, and other ...

Kinder's

Demand Planning Manager

Walnut Creek, CA

The ideal candidate is not only skilled in demand forecasting but also embodies a growth mindset, balancing today's demands with building systems for tomorrow. This role requires a strong ...

Kinder's

Demand Planning Manager

Walnut Creek, CA

Demand Forecasting: * Develop and maintain accurate, data-driven demand forecasts for the Grocery channel using historical shipment and POS data, market trends, and sales input. * Continuously ...

Kinder's

Demand Planning Manager

Walnut Creek, CA · On-site

Demand Forecasting: * Develop and maintain accurate, data-driven demand forecasts for the Grocery channel using historical shipment and POS data, market trends, and sales input. * Continuously ...

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Demand Forecasting information

See California salary details

$35.5K

$81.7K

$138.2K

How much do demand forecasting jobs pay per year?

As of Jul 31, 2026, the average yearly pay for demand forecasting in California is $81,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $94,700.00 per year, depending on experience, location, and employer.

How do you become a demand forecaster?

To become a demand forecaster, typically a bachelor's degree in business, economics, statistics, or a related field is required. Gaining experience with data analysis, forecasting tools, and statistical software such as Excel, R, or Python is important, and some roles may prefer certifications like Certified Business Forecast Analyst (CBFA). Strong analytical skills and understanding of market trends are essential for success in this role.

What is a Demand Forecasting job?

A Demand Forecasting job involves analyzing historical sales data, market trends, and external factors to predict future product or service demand. Professionals in this role use statistical models, machine learning algorithms, and business insights to improve inventory management, reduce costs, and optimize supply chain operations. They collaborate with sales, marketing, and operations teams to ensure that businesses can meet customer demand efficiently while minimizing waste.

What are the typical day-to-day responsibilities of someone working in Demand Forecasting?

Professionals in Demand Forecasting typically analyze historical sales data, market trends, and seasonal variables to create accurate demand projections for products or services. They collaborate closely with sales, marketing, and supply chain teams to gather input and ensure forecasts align with business objectives and upcoming promotions. Day-to-day tasks often include data validation, reporting, monitoring forecast accuracy, and adjusting models in response to new information or unforeseen changes in the market. This role combines technical data analysis with cross-functional communication, making it both challenging and integral to efficient business operations.

What does a demand forecaster do?

A demand forecaster analyzes historical sales data, market trends, and other relevant information to predict future product or service demand. They use statistical tools and forecasting models to help companies optimize inventory, production, and supply chain planning, often working with data analysis software and requiring strong analytical skills.

What are the key skills and qualifications needed to thrive in the Demand Forecasting position, and why are they important?

To thrive in Demand Forecasting, you need strong analytical abilities, proficiency in statistics, and a relevant degree in supply chain management, business analytics, or a related field. Familiarity with forecasting software such as SAP APO, Oracle Demantra, or advanced Excel, as well as certifications like APICS Certified in Planning and Inventory Management (CPIM), is highly valuable. Soft skills including attention to detail, strong communication, and problem-solving help professionals collaborate effectively across departments and explain complex forecasts to non-technical stakeholders. These skills are critical for accurately predicting demand patterns, minimizing inventory costs, and supporting strategic business decisions.

Will demand planners be replaced by AI?

Demand planners use data analysis, forecasting models, and industry knowledge to predict product demand. AI tools can automate routine tasks and improve accuracy, but demand planning also requires judgment and strategic decision-making that AI cannot fully replicate. Therefore, demand planners are likely to work alongside AI rather than be completely replaced.

Is demand planner a good career?

Demand planning is a valuable career that involves forecasting product demand to optimize inventory and supply chain operations. It requires analytical skills, proficiency with forecasting tools, and often a background in supply chain management or logistics. The role offers opportunities for advancement and is in demand across various industries.
What are the most commonly searched types of Demand Forecasting jobs in California? The most popular types of Demand Forecasting jobs in California are:
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What cities in California are hiring for Demand Forecasting jobs? Cities in California with the most Demand Forecasting job openings:
Demand Forecasting jobs near you
Infographic showing various Demand Forecasting job openings in California as of July 2026, with employment types broken down into 60% Full Time, 36% Part Time, and 4% Contract. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $81,676 per year, or $39.3 per hour.

Sr Applied Scientist - Demand Forecasting

Abode Tech Zone

Irvine, CA • Remote

Full-time

Posted 3 days ago

New

Job description

Sr Applied Scientist - Demand Forecasting Duration: 9 months Location: Irvine, CA and 100% remote role Scope: • Develop and retrain demand forecasting models as new regional markets come online • Adapt existing forecasting framework to regional demand signals (seasonality, buying patterns, lead times per market) • Calibrate forecast accuracy using federated regional data • Validate model quality meets go-live thresholds before each regional activation • Collaborate with the optimization team on inputs to the allocation engine Required: • Applied statistics, time-series forecasting (ARIMA, Prophet, neural methods) • Retail demand planning or demand sensing experience • SageMaker model training and deployment • Python, SQL, experience with large-scale retail datasets • Ability to work independently with architectural direction from lead scientist Preferred: • Supply chain or inventory management domain experience • Multi-market / international retail exposure

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