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Data Science Manager Jobs in Arizona (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

Deliver high-quality analytical and modeling outputs with limited manager oversight * Collaborate closely with data science peers and cross-functional partners across business units * Help ensure ...

... Data Science, AWS Data Analytics, Microsoft Power BI, and more-while building real-world, deployable projects that hiring managers love. • Mock Interviews + Mentorship - Work to refine your ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... Gather, aggregate, and manage data from various sources, including SQL databases, Oracle databases ...

Implement rigorous testing and evaluation frameworks for LLM outputs to ensure prompt stability, prevent regressions, and manage hallucination risks * Contribute towards the common data science ...

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound methodologies into business practices and systems to help organization manage change control decisions ...

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

POSITION SUMMARY: The Data Scientist I drives internal data analytics projects. The role ... Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

New

Sr Data Scientist

Scottsdale, AZ

$123.50K - $183.70K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

... management and automation of IT operational workflows. Qualifications * Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.

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Showing results 1-20

Data Science Manager information

See Arizona salary details

$28.9K

$90.5K

$160.3K

How much do data science manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data science manager in Arizona is $90,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.
What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What cities in Arizona are hiring for Data Science Manager jobs? Cities in Arizona with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.
Data Scientist II

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131.20K - $172.20K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

225th of 258 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.
About the role:
Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.
As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.
Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid
Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • Collaborate closely with data science peers and cross-functional partners across business units
  • Help ensure data science processes and outputs align with broader team strategies and roadmaps
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation
Requirements:
  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
Bonus points:
  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.