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Predictive Modeling Jobs in Arizona (NOW HIRING)

ML Engineer

Phoenix, AZ · Hybrid

$65/hr

... predictive modeling • Build algorithms and prototypes • Combine raw information from different sources • Explore ways to enhance data quality and reliability Roles & Responsibilities: • ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Subject Matter Depth and Breadth with at least four of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression;

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Predictive Modeling information

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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 Arizona is $54.71, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.61 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 Arizona? The most popular types of Predictive Modeling jobs in Arizona are:
What job categories do people searching Predictive Modeling jobs in Arizona look for? The top searched job categories for Predictive Modeling jobs in Arizona are:
Director Medicare STARS Analytics and Reporting

Director Medicare STARS Analytics and Reporting

Banner Health

Phoenix, AZ • On-site, Remote

Full-time

Medical

Posted 12 days ago


Banner Health rating

7.5

Company rating: 7.5 out of 10

Based on 743 frontline employees who took The Breakroom Quiz

225th of 871 rated healthcare providers


Job description

Primary City/State:

Phoenix, Arizona

Department Name:

Medicare Stars Strategy

Work Shift:

Day

Job Category:

General Operations

Help move health care into the future. At Banner Plans & Networks we are changing health care to make the experience the best it can be. If that sounds like something you want to be part of, apply today.


Banner Plans & Networks (BPN) is a nationally recognized healthcare leader that integrates Medicare and private health plans. Our main goal is to reduce healthcare costs while keeping our members in optimal health. BPN is known for its innovative, collaborative, and team-oriented approach to healthcare. We offer diverse career opportunities, from entry-level to leadership positions, and extend our innovation to employment settings by including remote and hybrid opportunities.

The Director of Medicare STARS Analytics & Reporting serves as a strategic leader responsible for ensuring the complete, accurate, and timely submission of Medicare Part C and Part D data. Each day involves overseeing the development, maintenance, and governance of reporting and analytical tools that provide clear visibility into Stars performance and support operational and strategic decision making across the organization.


In this role, you will guide a high performing analytics team, fostering technical excellence and professional growth while advancing the organization’s predictive modeling and analytic capabilities. As a key leader within the STARS organization, you will collaborate closely with cross functional partners, translating complex data into actionable insights that drive sustained Stars performance and quality outcomes.


Key Responsibilities & Experience 

  • Lead and mentor a team of 2 data analysts, overseeing the development of standardized and ad hoc reporting to drive insights and support strategic decision-making.
  • Train and support staff in the use of Power BI and other industry-standard tools for data modeling and visualization.
  • Leverage deep expertise in the Medicare Star Ratings program, including technical specifications, cut points, and performance metrics, to guide analytics and improvement initiatives.
  • Develop, maintain, and enhance predictive modeling tools that incorporate current performance data, predictive analytics packages, and Star Ratings methodologies.
  • Serve as a strategic advisor on the BMA Stars team, contributing to performance improvement activities and cross-functional collaboration with IT, analytics, and clinical teams.

Position Details

  • Job Type: Full-time, Salaried (Exempt from Overtime)
  • Work Arrangement: Hybrid Remote – Must reside and work within the State of Arizona
  • Schedule: Primarily Monday through Friday during standard business hours
  • Flexibility Required: Occasional early mornings, evenings, and weekends, especially during the Annual Enrollment Period (AEP)


If this role sounds like the one for you, Apply today!
 

Your pay and benefits are important components of your journey at Banner Health. This opportunity includes the option to participate in a variety of health, financial, and security benefits. In addition, this position may be eligible for our Management Incentive Program as part of your Total Rewards package.Banner Plans & Networks (BPN) is an accountable care organization that joins Arizona's largest health care provider, Banner Health, and an extensive network of primary care and specialty physicians to provide the most comprehensive healthcare solutions for Maricopa County and parts of Pinal County. Through BPN, known nationally as an innovative leader in new health care models, insurance plans and physicians are coming together to work collaboratively to keep members in optimal health, while reducing costs.

POSITION SUMMARY

This position provides leadership in the development, deployment, and optimization of advanced analytics that support Banner Health Plan performance within the assigned scope of influence. This position is responsible to lead a team of data scientists and analysts to build analytical tools, data models, and advanced predictive and prescriptive products that improve provider performance, care management and care coordination, and health plan operations. This person will work within a large, complex ecosystem of data sets, IT systems, and data visualization platforms to deliver products to a variety of audiences. Leading through a combination of direct reports and by influence, this role contributes to Banner Health Plan's strategic planning efforts. This person is well-versed in data science landscape, and shares opportunities and insights regarding how Banner Health Plan can best leverage analytical and reporting tools to optimize performance.

CORE FUNCTIONS

1. Leads development of innovative, scalable analytical models (e.g. data mining solutions, data visualization tools) that mine complex healthcare data and transform them into actionable insights. Promotes and facilitates integration of models into business processes as necessary to improve performance.

2. Collaborates with business partners to identify, design, and deploy new analytical tools that leverage predictive and prescriptive insights to improve health plan performance. 

3. Monitors utility of existing analytical models and tools, solicits feedback from stakeholders and end-users, and drives quality improvement of the models to continually improve tools.

4. Collaborates very closely with other analytical teams, senior leaders and IT. Acts as an internal consultant, working across teams and departments to deliver short-term and long-term deliverables.

5. Develops code, and leads/oversees the development of code, debugging, optimizing, and production of code sets. Conducts ad hoc analyses, builds predictive models of patient behavior and forecasting models. Defines business requirements for predictive models and analytics tools, ensuring data integrity and end-user acceptance. Ensures continual usability through monitoring, revisions, and trouble-shooting as needed.

6. Monitors market trends, Medicare regulatory and sub-regulatory landscape, and data science industry to share opportunities, challenges, and other market insights to business leaders. 

7. Build and grow analytics team to support health plan performance. Establish performance standards, develop plans, provide coaching and mentorship to direct reports and others, as appropriate.
MINIMUM QUALIFICATIONS

Must have a strong knowledge of business and/or healthcare as normally obtained through the completion of a Master's Degree in Statistics, Computer Sciences, Health Sciences Research, Process Engineering, Clinical Informatics, Business or related field.

Requires a minimum of seven years of hands on experience with predictive modeling and statistical analysis techniques in a healthcare environment. An equivalent combination of education and experience may be allowed.

Must have experience in working with cross functional departments in order to serve as a liaison and provide relevant guidance or leadership. Must demonstrate ability to lead complex projects and cross-functional teams, including strong project management skills, to resolve, implement or reach consensus on issues. Excellent communication, interpersonal and critical thinking skills are required.

PREFERRED QUALIFICATIONS

Knowledge of technologies such as Population Health Management (PHM), Clinical Practice Tools, Readmissions, Preventive Medicine, Pharmacy in/out-patient monitory and alerting also preferred. Masters or PhD in Health Services Research, Statistics or related field. Population health research experience.

Additional related education and/or experience preferred.

EEO Statement:

EEO/Disabled/Veterans

Our organization supports a drug-free work environment.

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