Machine Learning Engineer 3
San Jose, CA · On-site
The role involves developing innovative models, deploying applications powered by predictive models, and implementing ML-Ops best practices. Responsibilities : • Develop innovative models in ...
Machine Learning Engineer 3
San Jose, CA · On-site
The role involves developing innovative models, deploying applications powered by predictive models, and implementing ML-Ops best practices. Responsibilities : • Develop innovative models in ...
PREDICTIVE DATA ANALYST / EMERGENCY APPOINTMENT HOMELESSNESS
Los Angeles, CA · On-site
$94K - $127K/yr
The Predictive Data Analyst positions are located within the Evaluation Section of the Health ... modeling to identify investment prioritization, design interventions, and measure outcomes ...
PREDICTIVE DATA ANALYST / EMERGENCY APPOINTMENT HOMELESSNESS
Los Angeles, CA · On-site
$94K - $127K/yr
The Predictive Data Analyst positions are located within the Evaluation Section of the Health ... modeling to identify investment prioritization, design interventions, and measure outcomes ...
Senior Data Scientist
Carlsbad, CA · On-site
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 ...
Senior Data Scientist
Carlsbad, CA · On-site
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 ...
Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, CA · Hybrid
$112K - $153K/yr
This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions. The Senior Machine ...
Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, CA · Hybrid
$112K - $153K/yr
This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions. The Senior Machine ...
Data Engineer with Java & Scala
San Jose, CA · On-site
$134K - $161K/yr
... predictive models are developed using rigorous statistical processes Establish and maintain effective processes for validating and updating predictive models Analyze, model, and forecast health ...
Data Engineer with Java & Scala
San Jose, CA · On-site
$134K - $161K/yr
... predictive models are developed using rigorous statistical processes Establish and maintain effective processes for validating and updating predictive models Analyze, model, and forecast health ...
Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, CA · Hybrid
$112K - $153K/yr
This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions. The Senior Machine ...
Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, CA · Hybrid
$112K - $153K/yr
This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions. The Senior Machine ...
Predictive Modeling accreditation desirable. EXPERIENCE: * Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. * Experience ...
Predictive Modeling accreditation desirable. EXPERIENCE: * Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. * Experience ...
Pricing Actuary
San Diego, CA · On-site
Predictive Modeling accreditation desirable. EXPERIENCE: * Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. * Experience ...
Pricing Actuary
San Diego, CA · On-site
Predictive Modeling accreditation desirable. EXPERIENCE: * Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. * Experience ...
Predictive Modeling accreditation desirable. EXPERIENCE: * Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. * Experience ...
Predictive Modeling accreditation desirable. EXPERIENCE: * Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required. * Experience ...
The DFM R&D Lab plays a critical role in developing the materials, processes, and predictive modeling frameworks that enable advanced semiconductor packaging and microelectronics technologies to ...
The DFM R&D Lab plays a critical role in developing the materials, processes, and predictive modeling frameworks that enable advanced semiconductor packaging and microelectronics technologies to ...
Model Development: * Develop predictive models for: * Compound activity, selectivity, ADME/Tox, and developability properties. * Target engagement, mechanism-of-action, and phenotypic datasets. Apply ...
Model Development: * Develop predictive models for: * Compound activity, selectivity, ADME/Tox, and developability properties. * Target engagement, mechanism-of-action, and phenotypic datasets. Apply ...
The DFM R&D Lab plays a critical role in developing the materials, processes, and predictive modeling frameworks that enable advanced semiconductor packaging and microelectronics technologies to ...
The DFM R&D Lab plays a critical role in developing the materials, processes, and predictive modeling frameworks that enable advanced semiconductor packaging and microelectronics technologies to ...
Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance. Tackle difficult, non-routine ...
Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance. Tackle difficult, non-routine ...
Reporting Data Scientist
Sacramento, CA · On-site
Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management. * Design, develop, and maintain Power BI dashboards, visualizations, and ...
Reporting Data Scientist
Sacramento, CA · On-site
Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management. * Design, develop, and maintain Power BI dashboards, visualizations, and ...
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 ...
Quick apply
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 ...
Senior Data Scientist
San Ramon, CA · On-site
$100 - $105/hr
Machine Learning & Predictive Modeling * Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation & Optimization * Data Visualization & Executive Presentations
New
Senior Data Scientist
San Ramon, CA · On-site
$100 - $105/hr
Machine Learning & Predictive Modeling * Python, R, SQL * Statistics, Mathematics & Feature Engineering * Model Development, Evaluation & Optimization * Data Visualization & Executive Presentations
New
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 ...
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 ...
Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management. * Design, develop, and maintain Power BI dashboards, visualizations, and ...
Build predictive, statistical, and forecasting models supporting cost, schedule, risk, and program performance management. * Design, develop, and maintain Power BI dashboards, visualizations, and ...
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 ...
Quick apply
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 ...
As a Senior Principal Predictive Insights Specialist, you will: * Define and steward a durable ... and modeling AI-native ways of working for the team * Skilled at shaping the work of other ICs ...
As a Senior Principal Predictive Insights Specialist, you will: * Define and steward a durable ... and modeling AI-native ways of working for the team * Skilled at shaping the work of other ICs ...
Predictive Modeler information
See California salary details
$10.20 - $16.74
4% of jobs
$16.74 - $23.27
1% of jobs
$23.27 - $29.81
2% of jobs
$29.81 - $36.34
0% of jobs
$36.34 - $42.88
3% of jobs
$42.88 - $49.41
8% of jobs
$51.76 is the 25th percentile. Wages below this are outliers.
$49.41 - $55.94
17% of jobs
The median wage is $59.78 / hr.
$55.94 - $62.48
24% of jobs
$66.71 is the 75th percentile. Wages above this are outliers.
$62.48 - $69.01
23% of jobs
$69.01 - $75.55
12% of jobs
$75.55 - $82.08
5% of jobs
$10
$57
$82
How much do predictive modeler jobs pay per hour?
As of Jun 25, 2026, the average hourly pay for predictive modeler 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.
How does a Predictive Modeler typically collaborate with data scientists and business stakeholders during a project?
Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.
What are predictive modelers?
Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.
What is the difference between Predictive Modeler vs Data Analyst?
| Aspect | Predictive Modeler | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analytics | Bachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools |
| Work Environment | Data science teams, analytics departments, often in tech, finance, or healthcare industries | Business units, marketing, finance, or operations teams across various industries |
| Employer & Industry Usage | Used for building predictive models to forecast trends and behaviors | Used for interpreting data, generating reports, and providing insights |
While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.
What are the key skills and qualifications needed to thrive as a Predictive Modeler, and why are they important?
To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.
What are popular job titles related to Predictive Modeler jobs in CA? For Predictive Modeler jobs in CA, the most frequently searched job titles are:
Job description
Job Summary:
Adobe is looking for a Machine Learning Engineer to enhance the experience of its Customer Experience Orchestration customers. The role involves developing innovative models, deploying applications powered by predictive models, and implementing ML-Ops best practices.
Responsibilities:
• Develop innovative models in collaboration with Adobe Research.
• Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making.
• Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows.
• Engage in the product lifecycle, including architecture, design, deployment, and production operations.
• Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches.
Qualifications:
Required:
• MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field.
• Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods.
• Experience in building large-scale data pipelines.
• Ability to quickly learn new skills and work in a fast-paced team.
• Proficiency in one or more programming languages such as Python, Scala, Java, or SQL.
• Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch.
• Experience working with both research and product teams.
• Excellent problem-solving and analytical skills.
• Excellent communication and relationship-building skills.
Company:
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
Adobe is looking for a Machine Learning Engineer to enhance the experience of its Customer Experience Orchestration customers. The role involves developing innovative models, deploying applications powered by predictive models, and implementing ML-Ops best practices.
Responsibilities:
• Develop innovative models in collaboration with Adobe Research.
• Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making.
• Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows.
• Engage in the product lifecycle, including architecture, design, deployment, and production operations.
• Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches.
Qualifications:
Required:
• MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field.
• Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods.
• Experience in building large-scale data pipelines.
• Ability to quickly learn new skills and work in a fast-paced team.
• Proficiency in one or more programming languages such as Python, Scala, Java, or SQL.
• Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch.
• Experience working with both research and product teams.
• Excellent problem-solving and analytical skills.
• Excellent communication and relationship-building skills.
Company:
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
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