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Predictive Modeling Jobs in California (NOW HIRING)

Alphatec Spine

Senior Data Scientist

Carlsbad, CA

This role focuses on building and refining predictive algorithms, statistical/geometric shape models, and optimization techniques that enable surgeons to plan and simulate spinal procedures with ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences. Propose innovative solutions using data mining, statistical analysis, and machine ...

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All JobsPredictive Modeling JobsPredictive Modeling Jobs in California

Predictive Modeling information

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$10

$57

$82

How much do predictive modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for predictive modeling in California is $57.94, according to ZipRecruiter salary data. Most workers in this role earn between $51.97 and $67.36 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in California? The most popular types of Predictive Modeling jobs in California are:
What are popular job titles related to Predictive Modeling jobs in California? For Predictive Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in California look for? The top searched job categories for Predictive Modeling jobs in California are:
What cities in California are hiring for Predictive Modeling jobs? Cities in California with the most Predictive Modeling job openings:
Predictive Modeling jobs near you
Actuarial Predictive Modeler - Hybrid

Actuarial Predictive Modeler - Hybrid

D.W. Simpson

Costa Mesa, CA • On-site

$120K/yr

Full-time

Posted 28 days ago

Job description

Job Description
Join a time-tested company with a long-standing history of success! Our client is a P&C business that is seeking experienced actuaries or data scientists to build out their brand-new predictive modeling team. These individuals will be responsible for developing predictive models, assisting with the pricing for auto & home products, and making improvements to rate modeling. The ideal candidates will have 4+ years of predictive modeling experience in insurance applications and proficiency with SQL, R, and/or Python. Completion of actuarial exams is a plus. (#57289)
Compensation:
  • A salary range of $96-120K.
Locations:
  • Coppell, TX (Dallas area) - Hybrid
  • St. Louis, MO - Hybrid
  • Costa Mesa, CA - Hybrid

Meet Your Recruiter
Arturo Aguilera
Director, Social Media & Marketing
Arturo joined DW Simpson in 2017 and is currently the Social Media Specialist. He is in charge of running and maintaining DW Simpson's social media presence, increasing brand awareness and improving marketing efforts.
Arturo attended Columbia College Chicago where he graduated with a BFA in Advertising Art Direction. He enjoys attending concerts, dive bars, and art museums.
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  • arturo.aguilera@dwsimpson.com
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About DW Simpson

Sourced by ZipRecruiter

We have offices all over the United States and place professionals globally. Our expertise includes property & casualty, life, health, pension, and increasingly non-traditional areas such as risk management, catastrophe modeling, predictive modeling, financial modeling, and data analytics. Mission Our mission is to be the premier executive recruiting firm specializing in the placement of actuaries and analytics professionals; to be recognized for the best service, integrity and forthrightness that the firm brings to each business relationship; and to be willing at all times to sacrifice short-term gain for the long-term good and prosperity of our clients, our candidates and, as a result, our organization as well. Diversity, Equity, and Inclusion Statement We are dedicated to hiring and retaining diverse talent and ensuring that we treat everyone with respect and support. We embrace diversity and strive to create conditions that provide everyone with an equal opportunity to thrive. Our employment practices will not be influenced or affected by an applicant’s or employee’s race, color, religion, gender, sexual orientation, gender identity, disability, pregnancy, national origin, marital status, genetic information, age, veteran status, or any other characteristic protected under applicable federal, state, or local laws.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Chicago, IL, US

Year founded

1989

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