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Data Science Contract Jobs in Arizona (NOW HIRING)

The analyst will collaborate closely with data SMEs, software developers, data scientists, and the ... defining data contracts, and accelerating proof-of-concept use cases across engineering ...

The analyst will collaborate closely with data SMEs, software developers, data scientists, and the ... defining data contracts, and accelerating proof-of-concept use cases across engineering ...

... data science/analytics, finance, project management, supply chain, and/or operations OR equivalent experience * Strong commercial understanding and experience driving and developing contracts on key ...

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Data Science Contract information

What is a Data Science Contract job?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a Data Science Contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

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

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

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 Contract jobs? Cities in Arizona with the most Data Science Contract job openings:
Infographic showing various Data Science Contract job openings in Arizona as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 18% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist, Responsible AI (TUCSON)

Senior Data Scientist, Responsible AI (TUCSON)

Empower

Tucson, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

The Senior Data Scientist of Responsible AI serves as a senior individual contributor within Empower’s Responsible AI (RAI) team. This role embeds directly with multiple AI delivery teams as a matrixed partner, ensuring AI and GenAI systems are measurable, transparent, safe, and aligned with Responsible AI principles. The position focuses on evaluation methodology, model behavior analysis, and operationalizing Responsible AI practices in collaboration with engineering, QA, security, and governance partners.

What you will do:
  • Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks.
  • Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests.
  • Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices.
  • Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities.
  • Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows.
  • Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review.
  • Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders.
  • Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices.
What you will bring:
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
  • 6+ years of professional data science experience.
  • Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments.
  • Strong grounding in experimental design, statistical analysis, and model evaluation methodology.
  • Experience collaborating with engineering and product teams in an agile, iterative delivery environment.
  • Proficiency in Python and SQL for data analysis and evaluation workflows.
    Experience working with modern cloud platforms such as AWS.
  • Strong communication skills and ability to operate effectively in a matrixed team model.
Technology Environment
  • Cloud platforms such as AWS, including managed data and ML services.
  • Data storage and retrieval technologies such as relational and NoSQL databases.
  • Data analysis and visualization tools such as Python libraries, QuickSight, Tableau, or Power BI.
  • Collaboration and delivery tools supporting agile development and cross-functional workflows.
Security and Risk Awareness
  • Contribute to Responsible AI and security-by-design practices by ensuring evaluation methods consider safety, misuse, and model risk.
  • Partner with engineering, security, and governance teams to identify, document, and mitigate AI-related risks surfaced through evaluation activities.
  • Support evolving security and risk requirements as they relate to AI system behavior, testing, and governance reviews.
What Will Set You Apart
  • Experience evaluating Generative AI or LLM-based systems.
  • Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques.
  • Familiarity with Responsible AI principles, governance frameworks, or model documentation practices.
  • Experience translating research or experimental methods into repeatable, production-aligned workflows.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job.  The employer has the right to revise this job description at any time.   You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description.   You may be required perform other duties that are not included on this job description.  The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

#PJT

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) –  BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Base Salary Range

$105,700.00 - $149,275.00

The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Equal opportunity employer •  Drug-free workplace

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. 

***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***

Job Posting End Date at 12:01 am on:

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Workplace Flexibility: Remote - Nationwide