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Forecasting Jobs in California (NOW HIRING)

Saalex

Weather Forecaster I

Ridgecrest, CA · On-site

$37.32/hr

This is an entry-level forecasting role responsible for preparing routine weather observations, forecasts, and adapted forecast products using meteorological data from surface and upper-air stations ...

Saalex

Weather Forecaster I

Ridgecrest, CA · On-site

$37.32/hr

This is an entry-level forecasting role responsible for preparing routine weather observations, forecasts, and adapted forecast products using meteorological data from surface and upper-air stations ...

Mattel

Sr Forecasting Analyst - Walmart

El Segundo, CA · On-site

$93K - $124K/yr

The individual will report into the Walmart Forecasting Sr. Manager. What Your Impact Will Be: * Own store in-stock metrics by influencing the end-to-end order process including order creation ...

ARM

Senior Manager Revenue Forecasting

San Jose, CA · On-site

Lead the consolidation of the Quarterly Royalty Revenue forecast, refining forecasts in collaboration with our lines of business. * Develop the Royalty Revenue business narrative and prepare ...

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Forecasting information

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How much do forecasting jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for forecasting in California is $35.63, according to ZipRecruiter salary data. Most workers in this role earn between $26.11 and $46.97 per hour, depending on experience, location, and employer.

What is a forecasting?

A Forecasting job involves analyzing historical data and market trends to predict future outcomes, such as sales, demand, or financial performance. Professionals in this field use statistical models, data analytics, and business insights to create accurate forecasts that help organizations make informed decisions. Forecasting roles are common in industries like finance, supply chain management, and marketing, where predicting future trends is crucial for strategic planning and resource allocation.

What are the typical responsibilities in a forecasting position?

Forecasting professionals are responsible for analyzing historical data, identifying trends, and creating models to predict future business outcomes such as sales, demand, or inventory needs. This often involves working closely with cross-functional teams like finance, operations, and marketing to gather relevant data and validate assumptions. In addition to generating regular reports and forecasts, you may be tasked with adjusting models based on new information or changes in business strategy. Collaboration and clear communication are essential, as your insights often inform key decision-making processes.

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

To thrive in a Forecasting role, you need strong analytical skills, proficiency in quantitative methods, and often a degree in statistics, mathematics, economics, or a related field. Experience with forecasting software, statistical tools such as R or Python, and familiarity with database management systems are typically required. Outstanding attention to detail, problem-solving abilities, and effective communication skills help you translate data-driven insights to diverse stakeholders. These competencies ensure accurate predictions, informed business decisions, and effective collaboration across teams.

Is forecasting a good career?

Forecasting is a valuable career that involves analyzing data and trends to predict future outcomes, often requiring skills in statistics, data analysis, and software tools like Excel or specialized forecasting software. It is commonly found in industries such as finance, supply chain, and economics, offering opportunities for growth and specialization. Success in this field depends on analytical ability, attention to detail, and continuous learning of industry-specific knowledge.

What jobs require forecasting?

Jobs that require forecasting include roles such as financial analysts, supply chain managers, sales planners, and market researchers. These positions involve predicting future trends, demand, or financial performance using data analysis, statistical tools, and industry knowledge to support strategic decision-making.

What are popular job titles related to Forecasting jobs in California?

For Forecasting jobs in California, the most frequently searched job titles are:

What job categories do people searching Forecasting jobs in California look for?

The top searched job categories for Forecasting jobs in California are:

What cities in California are hiring for Forecasting jobs?

Cities in California with the most Forecasting job openings:

Forecasting jobs near you
Infographic showing various Forecasting job openings in California as of September 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,108 per year, or $35.6 per hour.

Staff Data Scientist, Forecasting

San Francisco, CA • On-site, Remote

Pinterest
Internet and IT • 1 - 5K employees
Learn more about Pinterestexternal

Full-time

Re-posted 22 days ago

Job description

What you'll do:

  • Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
  • Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability.
  • Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
  • Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a highvisibility role with regular VP-level exposure.
  • Drive broader timeseries impact beyond point forecasts-e.g., anomaly detection, automated rootcause analysis, campaign/channel attribution, and earlywarning signals for business health.
  • Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms,  executive decision-making, and strategic planning.
  • Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching.

What we're looking for:

  • 8+ years of combined post-graduate academic and industry experience building and shipping production timeseries/forecasting models with webscale data. 
  • A track record of delivering adjustable, wellcalibrated, and explainable forecasting systems that informing decision-making.
  • Strong background in timeseries modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
  • Expertise in at least one scripting language (ideally Python).
  • Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow).
  • Business acumen and ownership mindset-able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
  • Excellent communication skills-able to distill complex analyses and uncertainty into concise narratives for executive audiences.
  • Proven technical leadership-success leading critical projects and materially influencing the scope and output of other contributors.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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