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Data Science Manager Jobs in Arizona (NOW HIRING)

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Change management to integrate tech transfer digital applications into product teams * Development ...

... science methodologies to workforce and organizational data to generate actionable insights that ... Manage workforce data governance activities, including data validation, audits, compliance ...

... science methodologies to workforce and organizational data to generate actionable insights that ... Manage workforce data governance activities, including data validation, audits, compliance ...

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

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Manages project milestones, risks, and impediments. * Escalates potential issues that could limit ...

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Manages project milestones, risks, and impediments. * Escalates potential issues that could limit ...

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

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.

In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of ... Bachelor's Degree in computer science, math or related field required * Ideal candidate would have ...

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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 Jul 14, 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 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 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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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 most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What are popular job titles related to Data Science Manager jobs in Arizona? For Data Science Manager jobs in Arizona, the most frequently searched job titles 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 July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $90,528 per year, or $43.5 per hour.
Sr. Data Scientist - Process Modeling

Sr. Data Scientist - Process Modeling

Amgen

Phoenix, AZ โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Career CategoryScientificJob DescriptionJoin Amgen's Mission of Serving Patients

At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Sr.Data Scientist - Process ModelingWhat you will do

Let's do this. Let's change the world. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen's pipeline. This group also supports key priorities and the development of strategies for digital process development for both biologic and synthetic moieties.

This position is part of a team advancing biologics drug-substance modeling and the digitization of tech-transfer workflows. As new modeling capabilities are developed and information is parameterized, opportunities abound to deploy modeling tools to enable early insights and phase-appropriate decision-making. These capabilities support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen's global network of manufacturing and development sites.

This role will contribute to the success of Drug Substance Technology organization by helping to digitize workflows to drive improvements in technology transfer timelines and ensure right-first-time success. As a Sr. Data Scientist, you will evaluate and improve Amgen's digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position will lead to solutions for open-ended "no single right answer" challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing. The Sr. Data Scientist will also be responsible for determining, defining, and tracking performance improvements.

Responsibilities:

  • Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologies
  • Digital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS network
  • Change management to integrate tech transfer digital applications into product teams
  • Development of data products to enable FAIR data for tech transfer/NPI
  • Enable AI Agentic workflows for DST modeling assets
  • Collaborate with digital product teams to build and integrate modeling assets into business processes for DST
  • Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen products
  • Make business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholders
  • Contribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is an individual with these qualifications.

Basic Qualifications:

Doctorate degree

OR

Master's degree and 2 years of Data Science or Engineering experience

OR

Bachelor's degree and 4 years of Data Science or Engineering experience

OR

Associate's degree and 8 years of Data Science or Engineering experience

OR

High School diploma or GED and 10 years of Data Science or Engineering experience

Preferred Qualifications:

  • MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science.
  • 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist)
  • Experience with AGILE software development methodologies
  • Experience with Databricks, coding languages (Python, SQL), AI Tools (Chat GPT, Codex, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI)
  • Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes
  • Experience with process modeling for cell-culture, harvest,and purification scale-up
  • Demonstrated performance in application of digital tools to solve analytical problems
  • Demonstrated effective written and verbal communication skills
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques as well as manage team members and deliverables.
What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.careers.amgen.com

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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Salary Range

134,168.25USD -181,521.75USD