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Junior Data Science Rotational Program Jobs in Tucson, AZ

Varsity Tutors

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

Evaluate and adopt emerging AI/ML tools and methodologies relevant to brain science research. * Assist in training junior lab members or graduate students on data science methods and tools as needed.

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

... enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and ... Mathematics, statistics, computer science, data science or field directly related to the position.

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

... enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and ... Mathematics, statistics, computer science, data science or field directly related to the position.

University of Arizona

AI Research Scientist

Tucson, AZ · On-site

Design, implement, and facilitate high-impact AI/ML, data science, and generative AI training programs, workshops, and self-paced learning modules tailored for various university audiences (faculty ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

... training junior lab members or graduate students on data science methods and tools as needed ... Experience with UK Biobank, All of Us Research Program, or similar population cohorts. * Background ...

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All JobsData Science Rotational Program JobsJunior Data Science Rotational Program JobsJunior Data Science Rotational Program Jobs in Tucson, AZ

Junior Data Science Rotational Program information

See Tucson, AZ salary details

$32.6K

$75K

$120.5K

How much do junior data science rotational program jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior data science rotational program in Tucson, AZ is $75,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $77,100.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Science Rotational Program vs Data Analyst?

AspectJunior Data Science Rotational ProgramData Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; some programs prefer internshipsBachelor's in Analytics, Business, or related field; certifications like Excel, SQL often preferred
Work EnvironmentRotational roles across teams, learning various data functions, often in tech or finance companiesFocused on analyzing data sets, creating reports, supporting decision-making in diverse industries
Employer & Industry UsageCommon in tech, finance, consulting firms offering structured training programsWidely used across industries for data-driven decision support

The Junior Data Science Rotational Program provides a structured, multi-team learning experience for aspiring data scientists, often including rotations across data functions. In contrast, Data Analysts focus on analyzing data, creating reports, and supporting business decisions. Both roles require strong analytical skills, but the rotational program emphasizes broad exposure and skill development, while Data Analysts typically specialize in data interpretation and reporting.

Junior Data Science Rotational Program jobs near you

Principal Data Scientist - Factory Intelligence

Prattwhitney

Tucson, AZ • On-site

$107.50 - $204.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Principal Data Scientist – Factory Intelligence

Location: Tucson, Arizona. Work type: Hybrid. U.S. citizens only. Security clearance: Secret (required prior to start, interim clearance available).

What you will do
  • Transform factory data into actionable intelligence that improves production performance.
  • Collaborate with Engineering, Operations, and Quality teams to build and deploy predictive analytics solutions.
  • Develop models that directly impact yield, reduce variation, and support smarter decision‑making.
  • Design, deploy, and maintain production‑grade machine learning solutions.
  • Build intuitive data visualization tools and statistical analysis applications.
  • Partner with stakeholders to translate complex data into clear, practical insights.
  • Provide technical leadership and mentor junior data scientists and engineers.
  • Establish best practices in applied data science across the organization.
  • Become a subject‑matter expert in factory test data and uncover opportunities for improvement.
  • Solve challenging, data‑driven manufacturing problems and deliver measurable production enhancements.
  • Work directly with customers to ensure data is fully leveraged to improve performance.
  • Contribute to scalable, production‑ready data science solutions and help advance the organization’s analytics standards.
  • Operate effectively in a fast‑paced, multi‑tasking environment.
Qualifications You Must Have
  • University degree or equivalent experience and a minimum of 8 years of relevant experience, or an advanced degree and a minimum of 5 years of experience.
  • Experience developing in Python (NumPy, SciPy, scikit‑learn, scikit‑image) for production‑grade statistical or machine learning applications.
  • Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments.
  • Experience with relational database management and SQL development.
  • U.S. citizen. Active and transferable U.S. government‑issued security clearance required prior to start; U.S. citizenship required as only citizens are eligible for a clearance.
Preferred Qualifications
  • Experience with statistical tools such as Minitab, R, JMP, or SAS.
  • Strong knowledge of machine learning pipelines and MLOps practices (e.g., MLflow), including versioning, monitoring, and lifecycle management.
  • Strong experience applying quantitative techniques (normalization, standardization, applied statistics) to analyze large, complex datasets and build deployable machine learning models, including in cloud environments such as AWS or Azure.
  • Experience designing, training, fine‑tuning, and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
  • Experience working with large language models (LLMs), including fine‑tuning, evaluation, and deployment; or demonstrated deep knowledge of LLM concepts and architectures.
  • Experience operating in a technical leadership or mentoring role.

Salary range: $107,500 - $204,500 USD.

Benefits are available to Hired applicants, including medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits depend on the business unit and collective‑bargaining agreement.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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