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Data Science Contract Jobs in Riverside, CA (NOW HIRING)

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

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 ...

AbbVie

Data Science Program Lead I

Irvine, CA · On-site

$84.50K/yr

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... May include indirect supervision of work for contract resources * Participates in DSS and cross ...

AbbVie

Data Science Program Lead I

Irvine, CA

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... May include indirect supervision of work for contract resources * Participates in DSS and cross ...

AbbVie

Data Science Program Lead II

Irvine, CA

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... May include indirect supervision of employee as well as supervision of work of contract resources ...

AbbVie

Data Science Program Lead II

Irvine, CA · On-site

$109.50K/yr

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... May include indirect supervision of employee as well as supervision of work of contract resources ...

Abbott

Contracts Manager, US

Lake Forest, CA

$94.40K - $126.20K/yr

We're always looking towards the future, anticipating changes in medical science and technology ... Act as a consultant and subject matter expert (SME) relative to customer contract language, terms ...

Abbott

Contracts Manager, US

Lake Forest, CA

$94.40K - $126.20K/yr

We're always looking towards the future, anticipating changes in medical science and technology ... Act as a consultant and subject matter expert (SME) relative to customer contract language, terms ...

EnerSys

Contracts Manager

Chino, CA

$90.50K - $121K/yr

... award management, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

Neon Aerospace

Data Platform Architect

Irvine, CA · On-site

$68.50 - $88/hr

Own API governance standards (versioning, contracts, documentation, lifecycle) and event schema ... What you'll Bring: * Bachelor's or master's in computer science, data engineering, systems ...

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Data Science Contract information

See Riverside, CA salary details

$23.7K

$111.9K

$206.9K

How much do data science contract jobs pay per year?

As of May 29, 2026, the average yearly pay for data science contract in Riverside, CA is $111,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,015.00 and $156,919.00 per year, depending on experience, location, and employer.

What is a Data Science Contract job?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What are the key skills and qualifications needed to thrive in the Data Science Contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What kinds of projects and day-to-day tasks can I expect as a Data Science Contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.
More about Data Science Contract jobs
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to Data Science Contract jobs in Riverside, CA? For Data Science Contract jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Contract jobs in Riverside, CA look for? The top searched job categories for Data Science Contract jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Science Contract jobs? Cities near Riverside, CA with the most Data Science Contract job openings:
Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Riverside, CA as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $111,880 per year, or $53.8 per hour.

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).