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Predictive Modeling Jobs in California (NOW HIRING)

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 ...

... 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 ...

... 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 ...

Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes. * Build a high ...

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

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Predictive Modeling information

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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:
Senior Data Scientist

Senior Data Scientist

Alphatec Spine

Carlsbad, CA • On-site

$130K - $150K/yr

Full-time

Posted 6 days ago


Job description

The Senior Data Scientist will lead the design, development, and integration of predictive algorithms and automation for surgical planning within the EOS Insight platform. 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 greater precision. The ideal candidate will combine deep technical expertise in predictive modeling and linear algebra with a strong understanding of clinical workflows, working closely with marketing and surgeon partners to define the right algorithms for the right product experience.

Essential Duties and Responsibilities

  • Lead the definition, development, and optimization of algorithms and automation for surgical planning applications within the EOS Insight platform.
  • Design and implement optimization algorithms and mathematical frameworks grounded in AI/ML, linear algebra and statistics to improve surgical planning and outcome predictions.
  • Partner with marketing and surgeon partners to define and drive the use of algorithms and automation in the EOS Insight platform.
  • Collaborate cross-functionally with marketing, surgeon partners, development teams, and other stakeholders to translate user needs into algorithmic solutions.
  • Mentor team members in developing predictive modeling techniques, statistical methods, and best practices for scalable, production-quality code.
  • Develop and execute system and subsystem tests during development, prior to verification and validation (V&V).
  • Support compliance testing and product certification processes, including FDA AI/ML-enabled device software functions validation requirements.
  • Partner with project managers or directly manage projects to ensure delivery on time and within budget.
  • Contribute to and support Design Control Phase reviews.
  • Produce thorough, clear design documentation for hand-off to V&V teams, while mentoring others in formal test method development.
  • Identify and communicate challenges early to drive cross-functional alignment.
  • Perform other related duties as assigned.

Requirements

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Strong expertise in artificial intelligence/machine learning, statistical shape models (or similar geometric/statistical methods), and/or optimization techniques.
  • Ability to deeply understand the clinical and biomechanical underpinnings of spine surgery and translate that understanding to model design.
  • Experience working with biomedical/health data is required. Applicants lacking this will not be considered.
  • Strong software development skills in Python with an emphasis on writing clean, maintainable, production-quality code.
  • Demonstrated leadership in cross-functional technical teams.
  • Familiarity with FDA medical device regulations and compliance requirements.
  • Ability to document processes, procedures, and results in accordance with regulatory standards.

Education and Experience

  • Master’s degree in Biomedical Engineering, Applied Mathematics, Computer Science, or a related quantitative discipline.
  • Minimum of 5 years’ experience in predictive modeling or data science for product development, preferably within medical devices.
  • Strong foundation in linear algebra, with demonstrated application to modeling or algorithm development.

Preferred:

  • Ph.D. in Biomedical Engineering, Applied Mathematics, Computer Science, or similar.
  • Knowledge of medical device product life cycles.
  • Experience with requirements testing, traceability, and design control processes.
  • Experience with cloud computing platforms

Equal Employment Opportunity & Other Disclosures

ATEC is committed to providing equal employment opportunities to its employees and applicants without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender expression, or any other protected status in accordance with all applicable federal, state or local laws. Further, ATEC will make reasonable accommodations that are necessary to comply with disability discrimination laws.

For roles based in the United States that require access to hospital facilities, must be eligible for and maintain credentials at all required hospitals, including meeting any applicable physical requirements or vaccination requirements (including the COVID-19 vaccine, as applicable).

Salary Range

Alphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate’s qualifications, education, skill set, years of experience, and internal equity. $130,000 to $150,000 Full-Time Annual Salary

Please note: ATEC Spine does not sponsor employment visas for this position. Candidates must be authorized to work in the United States without the need for current or future employer sponsorship.

Benefits