ZipRecruiter

Log In

1

Senior Data Scientist Forecasting Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... series forecasting. Experience developing algorithms for search engines (e.g., name entity ...

Prodapt

Senior Data Scientist

Irvine, CA · On-site

We are seeking a highly skilled Data Scientist with expertise in demand forecasting, supply chain optimization, and retail inventory management. In this role, you will develop, retrain, and validate ...

New

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data Scientist What Project/Projects will the candidate be working on while on assignment? 1) Field Team ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an ...

Skyworks

Sr. Data Scientist

Irvine, CA

$114K - $220K/yr

... data Required Experience and Skills * BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field. * Strong ...

Boot Barn

Data Scientist

Irvine, CA · On-site

... personalization, forecasting, marketing automation, and conversational agents. • Conduct ... to data science best practices, model documentation, and the creation of reusable modeling ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... forecasting, marketing automation, and conversational agents. * Conduct exploratory data analysis ...

Boot Barn

Data Scientist

Irvine, CA

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... forecasting, marketing automation, and conversational agents. * Conduct exploratory data analysis ...

OC Sports and Entertainment

Data Scientist

Anaheim, CA

$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 ...

OC Sports and Entertainment

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 ...

next page

Showing results 1-20

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

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 Jul 28, 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 specializing in 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, and why are they important?

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 specializing in 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:
What are popular job titles related to Senior Data Scientist Forecasting jobs in Riverside, CA? For Senior Data Scientist Forecasting jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist Forecasting jobs in Riverside, CA look for? The top searched job categories for Senior Data Scientist Forecasting jobs in Riverside, CA are:
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:
Senior Data Scientist Forecasting jobs near you
Senior Data Scientist

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Posted 5 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).