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Predictive Modeling Jobs in California (NOW HIRING)

You'll work at the intersection of predictive modeling, behavioral analytics, and AI system design - partnering closely with product, engineering, and platform teams to build the measurement and ...

Build predictive models to forecast workforce outcomes and inform people decisions * Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions

You'll work at the intersection of predictive modeling, behavioral analytics, and AI system design - partnering closely with product, engineering, and platform teams to build the measurement and ...

You'llwork at the intersection of predictive modeling, behavioral analytics, and AI system design - partnering closely with product, engineering, and platform teams to build the measurement and ...

Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth * Create executive ready reports, and deep analyses that clearly ...

Experience with predictive modeling, multi-regression, decision tress, and cluster analysis. • Demonstrated ability to thrive in a fast paced, high throughput environment. Previous experience in ...

Senior Data Scientist

Los Angeles, CA · On-site

$130K - $160K/yr

Predictive Modeling & Data Science: * Create, deploy, and maintain predictive models focused on areas such as theft behavior, customer usage patterns, operational risk factors, service performance ...

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Predictive Modeling information

See California salary details

$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 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:
Sr. Manager, People Data Science

Sr. Manager, People Data Science

Adobe

San Francisco, CA

$161K - $303K/yr

Full-time

Posted 14 days ago


Job description

The Opportunity

The Sr. Manager of People Data Science will lead and develop the data science function within the Employee Experience team. This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions.

What you'll Do

Technical & Strategic Leadership

  • Set the technical vision and quality bar for advanced analytics and AI across People Analytics
  • Guide the team's methodological standards for data analysis, AI usage, and predictive modeling
  • Scale insights through automation, tooling, and reusable frameworks
Advanced Analytics / Data Science
  • Build predictive models to forecast workforce outcomes and inform people decisions
  • Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions
  • Automate insight extraction and recurring analyses (e.g., via Python or R)
Influence & Communication
  • Partner with HR and business leaders to connect insights to goals and strategies
  • Communicate recommendations to executives in ways that drive action
  • Translate complexity into clarity for non-analytical partners
People Leadership & Capability Building
  • Lead, develop, and mentor a team of data scientists, building capability in statistical methods and partner influence
  • Foster a culture of innovation, inclusion, and practical impact
What You Need to Succeed
  • 8+ years in applied data science (ideally People Analytics), with 3-5+ years in a leadership role
  • Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling
  • Experience with people data (survey, HRIS, behavioral) in an applied setting
  • Expert knowledge of advanced statistical methods (e.g., causal inference, predictive modeling, HLM, network analysis, text/NLP, ML)
  • Skill in influencing senior leaders through clear communication of complex insights
  • Track record of establishing methodological standards or technical governance
  • Ability to collaborate across functions and levels
  • Proven ability to lead and develop high-performing teams
  • Commitment to ethical use of employee data, privacy, fairness, and responsible AI

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $161,700 -- $303,300 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $209,400 - $303,300 In Washington, the pay range for this position is $197,100 - $285,450

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982