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Predictive Modeling Jobs in California (NOW HIRING)

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 ...

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · On-site +1

What You Will Bring Minimum 8 years predictive modeling experience with focus on credit risk, credit bureau data, regulatory requirements, market trends including 5 years within the financial and ...

Hyundai Capital

Sr. Quantitative Modeler

Irvine, CA · On-site

$200K - $320K/yr

Qualifications What You Will Bring • Minimum 8 years predictive modeling experience with focus on credit risk, credit bureau data, regulatory requirements, market trends including 5 years within ...

Alphatec Spine

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

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 ...

Alphatec Spine

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

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 ...

Alphatec Spine

Senior Data Scientist

Carlsbad, CA

$130K - $150K/yr

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 ...

Redolent, Inc

Data Scientist

San Bruno, CA · On-site

... predictive modeling, segmentation, etc) Responsibilities Perform hands-on modeling and complex analyses using Python, SQL and/or R Build and enhance media mix models to connect the impact of ...

Esri

Product Analyst

Redlands, CA · On-site

... predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth • Create executive ready reports, and deep analyses that clearly communicate analytical ...

Esri

Product Analyst

Redlands, CA · On-site

... predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth • Create executive ready reports, and deep analyses that clearly communicate analytical ...

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How much do predictive modeling jobs pay per hour?

As of Jun 12, 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 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 specialized software and often require knowledge of data analysis, statistics, and programming. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

What jobs make $1,000,000 a year?

In predictive modeling, high-earning roles such as senior data scientists, machine learning engineers, and analytics directors can reach or exceed $1 million annually, especially in top tech companies or financial firms. These positions typically require advanced skills in statistical analysis, programming, and experience with big data tools, along with leadership responsibilities and often performance-based bonuses or equity.

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. Continuous learning and relevant experience are more important than age when pursuing a data science career.

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 job makes $10,000 a month without a degree?

Predictive modeling roles, such as data scientists or machine learning engineers, can earn $10,000 or more per month with significant experience and expertise in statistical analysis, programming, and data tools. These jobs often require strong skills in Python, R, or SQL and may involve working in tech, finance, or consulting environments, but typically do not require a formal degree if skills are demonstrated through portfolios or certifications.
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

Pricing Actuary

Berkshire Hathaway Homestate Companies

San Diego, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

WHAT WE'RE LOOKING FOR
Berkshire Hathaway Homestate Companies has an immediate for a Pricing Actuary to join its Actuarial team! This individual is responsible for integrating industry and company performance data to develop and implement pricing strategies across various regions, markets, and products within our Workers Compensation business. Additionally, this position will provide essential technical support to guide the effective use of the company's pricing models and analytical tools.
Works closely and communicates effectively with internal and external clients, data analytics team, actuaries, underwriting, marketing, and other departmental teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Ability to present findings back to the business by exposing assumptions and validations in a way that can be easily understood by business counterparts is essential.
ESSENTIAL RESPONSIBILITIES AND PRINCIPAL ACCOUNTABILITIES
  • Review rate adequacy and provide recommendations when deviations and revisions from standard assumptions are appropriate.
  • Enhance and refine existing pricing models and develop new pricing models to support the Company's strategic objectives.
  • Monitor legislative and regulatory activity and ensure compliance in mandated reporting.
  • Develop and maintain analytical standards and procedures, including peer reviews, to ensure consistency across department of analysis, execution, knowledge sharing and documentation.
  • Actively engage with and participate in industry professional organizations and rating committees, representing the Company's strategic interests while presenting as an expert thought leader within the professional community.

LEADERSHIP RESPONSIBILITIES
As a member of the Senior Leadership Team (SLT), works collaboratively with members of the SLT to actively champion enterprise initiatives, ensuring the organization's vision, mission, goals and objectives are operationalized. Models and reinforces organizational values and behaviors in all leadership actions. Relies primarily on substantial experience, discerning judgment, and leadership skills to perform the functions of the job and achieve results in established timelines. Takes an anticipatory approach to solving problems. Ensures that employees understand their level of accountability and takes appropriate action to ensure employees fully understand roles, responsibilities and performance standards and provides ongoing feedback and support. Executes all responsibilities with professionalism and in accordance with the organization's internal policies, as well as regulatory, financial, and ethical standards.
QUALIFICATIONS
EDUCATION: Bachelor's degree in Statistics, Mathematics, Risk Management, or other related quantitative field, required.
CERTIFICATIONS/LICENSES: Fellow or Associate of the Casualty Actual Society strongly preferred. Predictive Modeling accreditation desirable.
EXPERIENCE:
  • Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required.
  • Experience with statistical computer languages and fluency with "big data" tools (R, Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets is preferred.

REQUIRED TECHNICAL SKILLS:
  • In-depth knowledge of insurance industry, programming, and current technologies used in predictive modeling and statistical analysis.
  • Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.).
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

DESIRED COMPETENCIES
  • PROBLEM-SOLVING: Logical thought process and problem-solving ability; able to effectively gather and analyze information skillfully and provide solutions in complex situations. Seeks root causes. Anticipates long-term problem areas and associated risk levels with objective rationale. Identifies items requiring additional information or action and addresses and communicates appropriately.
  • STATISTICAL ANALYSIS: Studies industrial, business, and technological trends and forecasts. Differentiates data sources for validity, reliability, and credibility. Assesses the validity of business strategy recommendations against trend and historical data.
  • INTERPERSONAL: Solid team-builder, be result oriented, a creative and strategic thinker with innovative problem-solving skills. Approachable and trustworthy with innate ability to form strong and meaningful bonds with executives and stakeholders. Active participant on SLT.
  • INNOVATION AND INITIATIVE: Exhibits a drive to learn and master new technologies and techniques. Employs sound judgment in determining how innovations will be deployed to produce higher return on investments. Analyzes previously used concepts, processes or trends to devise new efficiencies or approaches not obvious to others. Thinks expansively by combining ideas in unique ways or making connections between disparate ideas.
  • BUSINESS FOCUS: Leads discussions with senior leaders and internal partners to support strategic planning and decision making. Solicits authoritative perspectives and advice prior to approving recommendations.
  • DATA VISUALIZATION AND COMMUNICATION: Debates opinions, test understanding and clarifies judgments. Ability to explain and illustrate the context of multiple, complex inter-related situations to a wide and diversified audience.

WHAT WE OFFER
  • Bonus Eligibility
  • Hybrid Work Schedule (up to 2 days work from home)
  • Free Onsite Garage Parking
  • Free Onsire Fitness Facility
  • Paid Time Off
  • Paid Holidays
  • Immediate Vesting of Retirement Savings + Company Match
  • Group Health Insurance (Medical, Dental, and Vision)
  • Life and AD&D Insurance
  • Long Term Disability Insurance
  • Hospital Indemnity Insurance
  • Accident and Critical Illness Insurance
  • Flexible Savings Accounts
  • Paid Community Volunteer Day
  • Employee Assistance Program
  • Tuition Reimbursement Program
  • Employee Referral Program
  • Diversity, Equity and Inclusion Program

$186,450 - $236,145 a year
This pay scale is an estimate of the salary range the employer reasonably expects to pay for the position based on potential employee qualifications, operational needs and other considerations consistent with applicable law. The actual salary may be above or below the range. The pay scale applies only to this position and only if it is filled in San Diego, California. The pay scale may be different for other positions or in other locations.
WHO WE ARE
With more than 50 years in business, Berkshire Hathaway Homestate Companies (BHHC) has grown from a regional organization to a national insurance group, offering insurance products from coast to coast. Relationships are the cornerstone of our culture, and we believe in doing the right thing. That means we invest in our business in every way possible to deliver on our mission and demonstrate that people are what powers our success. Our commitment to financial strength and integrity means our customers can rest assured that we will be there when it counts.
At BHHC we embrace diversity and foster an environment where our people can be their authentic selves. Our differences make us stronger and better together, which fosters a harmonious workplace-something we truly value. We've created an approachable and collaborative atmosphere. Here you'll find a welcoming workplace where everyone can feel valued, supported, and inspired to do great work. Together, we raise the bar by being curious, remaining customer-focused, and operating with integrity.

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