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Freelance Data Scientist Forecasting Jobs in Riverside, CA

Product Analyst

Redlands, CA · On-site

$70K - $110K/yr

Hands-on experience building predictive, forecasting, or scenario-based models * Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements * Prior ...

Apply statistical analysis and data science principles to uncover workforce trends, forecast needs, and optimize labor-related insights. * Reporting & Visualization: Build and maintain dashboards and ...

Apply statistical analysis and data science principles to uncover workforce trends, forecast needs, and optimize labor-related insights. * Reporting & Visualization: Build and maintain dashboards and ...

... forecasting, scenario modeling, automated narratives) and partner with data science teams to productionize AI solutions with robust governance and explainability. • Drive the evolution of the ...

Identify and prioritize GenAI use cases such as predictive forecasting, scenario modeling, variance explanation, and automated executive narratives * Partner with data science and engineering teams ...

... scientific accuracy and brand consistency. * Manage relationships with external agencies, production partners, and freelance creative talent. Digital-First Content Creation * Lead development of ...

Showing results 41-60

Freelance Data Scientist Forecasting information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do freelance data scientist forecasting jobs pay per year?

As of Aug 24, 2026, the average yearly pay for freelance data scientist forecasting in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Data Scientist Forecasting vs Freelance Data Analyst?

AspectFreelance Data Scientist ForecastingFreelance Data Analyst
CredentialsTypically requires advanced degrees in data science, statistics, or related fieldsOften requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentProjects involve predictive modeling, time series analysis, and forecastingFocuses on data cleaning, reporting, and descriptive analysis
Industry UsageUsed in finance, retail, and supply chain for demand forecastingCommon across marketing, operations, and business intelligence

Freelance Data Scientist Forecasting specializes in predictive models and forecasting techniques, often requiring advanced skills. Freelance Data Analyst focuses on interpreting data and generating reports. Both roles are essential but differ in complexity and focus areas.

What are the most commonly searched types of Data Scientist Forecasting jobs in Riverside, CA?

The most popular types of Data Scientist Forecasting jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Freelance Data Scientist Forecasting jobs?

Cities near Riverside, CA with the most Freelance Data Scientist Forecasting job openings:

Product Analyst

Esri

Redlands, CA • On-site

$70K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

Overview
Come join our Product Analytics team at Esri! The Product Analyst focuses on advanced analytics and data-driven insight generation to influence product and business decision making. This role plays a key part in supporting and shaping the analytical data models used by Product Analysts and Data Scientists, ensuring data is structured, reliable, and fit for deep analytical and modeling work.
In this role you will initially support both analytical investigations and the analytical data model needs of the Product Analytics team. Over time, the role is expected to take on increased responsibility for designing and building scalable, reusable analytical data assets that enable consistent, high-quality analysis across Product Analysts and Data Scientists.
You will serve as a critical bridge between business context, advanced analytics, and analytics engineering, translating ambiguous product and business questions into robust analytical approaches and the underlying data structures needed to support them.
Responsibilities
  • Design, build, and maintain analytics-focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling
  • Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well-structured datasets and metrics
  • Contribute to the maturation of analytics engineering practices within Product Analytics, including scalable dataset design, metric logic, and operational support for analytical data assets
  • Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth
  • Create executive ready reports, and deep analyses that clearly communicate analytical insights, limitations, and recommendations to stakeholders across technical and non-technical audiences
  • Collaborate with other internal stakeholders - Business Managers, Product Managers, and other internal stakeholders to translate ambiguous business questions into structured analytical approaches
  • Partner with technical leads and cross-functional data teams to support the evolution of Product Analytics data capabilities within Microsoft Fabric and related platforms

Requirements
  • 2+ years of experience in product analytics, advanced data analysis, or business analytics roles, with a strong foundation in analytical reasoning, statistics, and data modeling
  • Demonstrated experience building and supporting curated analytical datasets and data models used by analysts or data scientists for downstream analysis
  • Proven ability to translate strategic and ambiguous questions into analytical frameworks and model requirements
  • Experience working with large, multi-source product usage or telemetry-style data; ensuring reliability of analytical datasets, including data validation, QA and reconciliation
  • Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset creation
  • Solid knowledge of Python or similar analytical programming languages for modeling and analysis
  • Familiarity with analytics enablement concepts, including semantic models, reusable metric logic, self-service dataset support, and scheduled data workflows or pipeline operationalization
  • Advanced Proficiency in Power BI (including analytical datasets and complex measures) and Microsoft Excel
  • Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives)
  • Bachelor's degree in business analytics, statistics, mathematics, economics, computer science, or a related field
  • Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications
  • Prior experience supporting analytics and predictive modeling for software products
  • Hands-on experience building predictive, forecasting, or scenario-based models
  • Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements
  • Prior experience working in Microsoft Fabric environment

#LI-Onsite
#LI-DV2
Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$70,304-$110,240 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969