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Freelance Data Scientist Forecasting Jobs in Riverside, CA

Cisco

Applied AI Scientist

Irvine, CA

Collaborate with engineering, product, and data science teams to understand requirements ... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience ...

Boot Barn

Director, Data Science & Insights

Irvine, CA

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Identify, prioritize, and execute high-impact use cases across personalization, forecasting ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot ... Identify, prioritize, and execute high-impact use cases across personalization, forecasting ...

Pacific Consolidated Industries LLC

Be Seen First

Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Develop executive level reports supporting budgeting, forecasting, inventory management, and ... Education and/or Experience Bachelor's degree in data science, Business Analytics, Supply Chain ...

HCVT

Senior Data & Analytics Specialist

Irvine, CA · Hybrid

Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that ...

HCVT

Senior Data & Analytics Specialist

Irvine, CA · On-site

Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that ...

Esri

Product Analyst

Redlands, CA · On-site

... forecasting, or scenario‑based models • Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements • Prior experience working in Microsoft ...

Esri

Product Analyst

Redlands, CA · On-site

Handson experience building predictive, forecasting, or scenariobased models * Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements * Prior ...

Esri

Product Analyst

Redlands, CA · On-site

... forecasting, or scenario‑based models • Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements • Prior experience working in Microsoft ...

Merchsource

Financial Planning & Analysis Analyst

Irvine, CA · On-site

$70K - $90K/yr

... forecasting, and business processes. Qualifications * Bachelor's degree in Finance, Accounting, Business, Economics, Statistics, Data Science, or a related field. * 2-4 years of experience in finance ...

Merchsource

Financial Planning & Analysis Analyst

Irvine, CA · On-site

$70K - $90K/yr

... forecasting, and business processes. Qualifications * Bachelor's degree in Finance, Accounting, Business, Economics, Statistics, Data Science, or a related field. * 2-4 years of experience in finance ...

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All JobsData Scientist Forecasting JobsFreelance Data Scientist Forecasting JobsFreelance Data Scientist Forecasting Jobs in Riverside, CA

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:

Freelance Data Scientist Forecasting jobs near you

Senior Data Scientist / ML Analytics / BI & Reporting / SQL / Python / Irvine CA

Motion Recruitment Partners, LLC

Lake Forest, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Our client is a global leader in the iOT space for retail loss prevention, operations management, and analytics, with our headquarters based in South OC, California. They maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada
They are urgently seeking a Sr. level Data Scientist & Analytics / ML Engineer with strong SQL, Python, Business Intelligence, Reporting Dashboars and Predictive Models.
This individual will play a key role in advancing the company's analytics capabilities beyond traditional business intelligence by developing predictive models, operational analytics, customer intelligence frameworks, and scalable reporting solutions that support proactive decision-making and measurable business impact.
The ideal candidate combines strong technical and analytical expertise with the ability to understand business operations, communicate insights effectively, and partner cross-functionally to solve complex operational and customer challenges.
Role & Responsibilities
Customer & Operational Analytics:
  • Analyze customer, operational, monitoring, video classification, and theft-related data to identify trends, risks, opportunities, and actionable insights.
  • Develop analytical frameworks to measure customer utilization, operational effectiveness, subscription adoption, and customer value realization.
  • Support proactive customer engagement strategies through data-driven insights and trend analysis.
  • Partner with leadership teams to improve visibility into operational and customer performance metrics.
Predictive Modeling & Data Science:
  • Design, build, and maintain predictive models related to theft trends, customer behavior, operational risks, service utilization, and escalation indicators.
  • Develop forecasting and trend analysis models that support operational planning and customer success initiatives.
  • Apply statistical analysis, machine learning, and advanced analytics techniques where appropriate to improve business outcomes.
  • Continuously evaluate and refine model performance and business relevance.
Business Intelligence & Visualization:
  • Develop dashboards, KPI reporting, and analytics tools using Power BI, Tableau, or similar platforms.
  • Create executive-level reporting and operational scorecards that support strategic decision-making.
  • Automate reporting and improve scalability of analytics and data visualization capabilities.
  • Translate complex analytical findings into clear, business-oriented recommendations.
Cross-Functional Collaboration:
  • Partner closely with Operations, Customer Success, Sales, Product Management, IT, Engineering, and Finance teams to identify business opportunities and analytics priorities.
  • Support initiatives involving AI-driven analytics, workflow automation, and operational optimization.
  • Collaborate with technical teams to improve data quality, accessibility, integration, and governance across systems and platforms.
Must Have Skills:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or related field.
  • 4-8 years of experience in data science, predictive analytics, customer analytics, operational analytics, or related analytical roles.
  • Strong experience developing predictive models and performing advanced data analysis in business environments.
  • Advanced proficiency in SQL and experience with Python or similar analytics/programming languages.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
  • Experience working with large, complex operational and customer datasets.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Excellent communication and presentation skills with the ability to explain technical concepts to business stakeholders.
  • Ability to operate independently and manage multiple priorities in a fast-paced environment.
  • Education And/Or Experience : BSEE, MSEE, BSCS, or MSCS
Nice to have / Preferred Skills:
  • Experience in SaaS, retail technology, video analytics, loss prevention, IoT, subscription-based services, or service-oriented organizations.
  • Familiarity with machine learning, AI-driven analytics, and operational optimization techniques.
  • Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
  • Experience supporting executive-level operational reporting and KPI development.
The Offer
  • Attractive total compensation package between 130-160k
  • Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options
  • 401(k) Plan with employer match
  • Generous paid time off policy
  • Observance of 11 paid company holidays

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