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Senior Data Scientist Forecasting Jobs in Riverside, CA

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Develop and deploy analytical models, including regression, classification, forecasting, or ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Develop and deploy analytical models, including regression, classification, forecasting, or ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Develop and deploy analytical models, including regression, classification, forecasting, or ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Develop and deploy analytical models, including regression, classification, forecasting, or ...

Data Scientist Pay Details: The annual base salary range for this position in California is $100 ... Develop and deploy analytical models, including regression, classification, forecasting, or ...

Sr. Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Under the direction of the Manager, Data Science, the Senior Data Engineer serves as a technical lead responsible for designing, architecting, and optimizing large-scale data platforms, pipelines ...

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Support senior leadership in strategic decision-making through advanced data-driven insights * Stay up-to-date with the latest developments in data science, machine learning, and related fields

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

The Pricing Data Scientist is a hands-on, high-autonomy individual contributor responsible for ... that influence senior leaders. The ideal candidate combines strong quantitative skills with ...

Showing results 21-40

Senior Data Scientist Forecasting information

See Riverside, CA salary details

$43.3K

$148.6K

$209.7K

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

As of Aug 5, 2026, the average yearly pay for senior data scientist forecasting in Riverside, CA is $148,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $173,700.00 per year, depending on experience, location, and employer.

What does a senior data scientist forecasting do?

A Senior Data Scientist specializing in Forecasting is responsible for developing advanced models to predict future trends, demands, or behaviors based on historical data. They use statistical, machine learning, and time series methods to generate accurate forecasts that help organizations make data-driven decisions. In addition to building models, they also interpret results, communicate findings to stakeholders, and mentor junior team members. Their work is crucial for industries like retail, finance, and supply chain where anticipating future outcomes impacts strategic planning.

What are the key skills and qualifications needed to thrive as a senior data scientist forecasting?

To thrive as a Senior Data Scientist Forecasting, you need advanced statistical modeling expertise, strong programming skills in languages such as Python or R, and a degree in a quantitative field. Experience with machine learning frameworks, time series forecasting tools (like Prophet, ARIMA, or TensorFlow), and data visualization platforms is typically required. Exceptional problem-solving ability, business acumen, and clear communication help translate complex analyses into actionable insights for stakeholders. These skills are crucial for generating accurate forecasts that drive strategic decisions and add measurable value to the organization.

What is the difference between Senior Data Scientist Forecasting vs Data Scientist?

AspectSenior Data Scientist ForecastingData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; experience in forecasting modelsBachelor's or Master's in relevant field; foundational data analysis skills
Work EnvironmentFocus on time series, predictive modeling, and forecasting projects within finance, retail, or supply chainBroader data analysis tasks across various domains, including descriptive analytics and data visualization
Employer & Industry UsageCommon in finance, retail, and logistics companies emphasizing demand and sales forecastingUsed across industries for general data analysis, reporting, and insights generation

The main difference between a Senior Data Scientist Forecasting and a Data Scientist lies in specialization and experience. The forecasting role requires expertise in predictive time series models and industry-specific forecasting applications, often at a senior level. In contrast, a Data Scientist typically handles a wider range of data analysis tasks with less focus on forecasting, making the senior forecasting role more specialized and advanced.

How does a senior data scientist forecasting typically collaborate with cross-functional teams to improve predictive models?

As a Senior Data Scientist in forecasting, you'll regularly engage with cross-functional teams such as product management, engineering, and business stakeholders to understand forecasting needs and key metrics. You'll translate business objectives into technical requirements, share insights from model outputs, and work closely with data engineers to ensure data quality and pipeline efficiency. This collaboration helps refine predictive models, address real-world constraints, and ensure the forecasting solutions are actionable and aligned with business goals. Open communication and iterative feedback are crucial for driving impactful results and continuous model improvement.
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:
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What cities near Riverside, CA are hiring for Senior Data Scientist Forecasting jobs? Cities near Riverside, CA with the most Senior Data Scientist Forecasting job openings:

$100K - $140K/yr

Full-time

Re-posted 4 days ago


Job description

A great experience starts with you!

Join our team to help create and develop the future of live entertainment and sports in Orange County!

Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.

Mission:To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.

Vision: We will be the social and entertainment center of Orange County - a place where the cultural kaleidoscope of the region converges and connects. Our vibrant, rich collection of experiences will celebrate the diversity of our community.

Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold

Job Title:Data Scientist

Pay Details:

The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate's geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.

The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role defines and tracks the metrics that measure business performance, designs experiments that produce defensible recommendations, and builds the Power BI dashboards business teams depend on daily, while partnering with cross-functional teams to translate business objectives into data problems and findings into decisions.

Responsibilities

  • Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation

  • Define, instrument, and track metrics that measure business initiative success and drive decision-making across the organization

  • Design and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendations

  • Build and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance data

  • Develop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production context

  • Apply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex data

  • Partner with cross-functional teams to translate business objectives into data problems and data findings into decisions

Qualifications

  • 3-5 years of hands-on analytical experience delivering production-grade work

  • Academic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative field

  • Production-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and maintainable code

  • Practical experience applying statistics, including building and validating models, diagnosing failures, and explaining results to non-technical stakeholders without losing rigor

  • Hands-on experience with Power BI or equivalent tools, including dashboards others depend on daily, not proof-of-concepts

  • Demonstrated AI fluency, including experience building something with LLMs or generative AI in a real context, not just following a tutorial

  • Strong written and verbal communication skills, with the ability to present complex findings clearly to any audience

  • AI-native mindset, with experience using AI-assisted tooling as a genuine productivity multiplier, not a novelty

Knowledge, Skills, and Experience

Education - Bachelor's Degree

Experience Required - 3-5 Years

This position is on-site.

Company:

OC Sports & Entertainment, LLC

Our Commitment:

We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Thanks for your interest in becoming part of OCVIBE!