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Data Scientist Forecasting Jobs in California (NOW HIRING)

Teleflora

Data Scientist, Modeler

Los Angeles, CA · On-site +1

We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

Contribute to capacity forecasting and optimization by converting quantitative decision-making into ... data science with proven skills in developing meaningful and concise analytic objectives from ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

Contribute to capacity forecasting and optimization by converting quantitative decision-making into ... data science with proven skills in developing meaningful and concise analytic objectives from ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business ... Experience with forecasting, Bayesian networks, and graph analytics. * Knowledge of program ...

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All JobsData Scientist Forecasting JobsData Scientist Forecasting Jobs in California

Data Scientist Forecasting information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist forecasting jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data scientist forecasting in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What is a data scientist forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the most commonly searched types of Data Scientist Forecasting jobs in California? The most popular types of Data Scientist Forecasting jobs in California are:
What are popular job titles related to Data Scientist Forecasting jobs in California? For Data Scientist Forecasting jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Scientist Forecasting jobs in California look for? The top searched job categories for Data Scientist Forecasting jobs in California are:
What cities in California are hiring for Data Scientist Forecasting jobs? Cities in California with the most Data Scientist Forecasting job openings:
Data Scientist Forecasting jobs near you
Infographic showing various Data Scientist Forecasting job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Staff Data Scientist, Forecasting

Jobtailor

San Francisco, CA • On-site

$180 - $260/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • 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 high‑visibility role with regular VP-level exposure.
  • Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning 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.
Requirements
  • 8+ years of combined post‑graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data.
  • Bachelor’s degree in a relevant field such as Computer Science or equivalent experience.
  • A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision‑making.
  • Strong background in time‑series 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.
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