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Full Time Data Science Rotational Program Jobs (NOW HIRING)

Job Overview The Program Data Science Analyst will play a critical role in supporting program and ... Regular and reliable attendance on a full time basis [or in accordance with posted schedule]

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Minimum 2 years experience applying data science to pricing and demand problems in ecommerce, ...

Job Overview The Program Data Science Analyst will play a critical role in supporting program and ... Regular and reliable attendance on a full time basis [or in accordance with posted schedule]

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Director, Data Science

Bella Vista, AR · On-site

$130K - $260K/yr

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Fayetteville, AR · On-site

$130K - $260K/yr

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Goshen, AR · On-site

$130K - $260K/yr

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

Support the development of data science training programs and knowledge-sharing activities for Marine Corps personnel. * Participate in war games experiments exercises and other operational ...

Director, Data Science

Cave Springs, AR · On-site

$130K - $260K/yr

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Greenland, AR · On-site

$130K - $260K/yr

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Centerton, AR · On-site

$130K - $260K/yr

... benefit program for full-time and part-time associates in Walmart and Sam's Club facilities ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Full Time Data Science Rotational Program information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 24, 2026, the average yearly pay for full time data science rotational program in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What can participants expect in terms of team collaboration and mentorship during a Full Time Data Science Rotational Program?

Participants in a Full Time Data Science Rotational Program typically work on diverse teams across multiple business units, allowing them to collaborate with data scientists, analysts, engineers, and business stakeholders. Each rotation usually includes dedicated mentorship from experienced professionals, who guide project work and career development. This structure provides a supportive environment for learning new tools and methodologies while building a broad professional network. Regular feedback sessions and cross-functional projects are common, giving participants a holistic view of how data science drives business decisions.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to develop and oversee AI systems, requiring skills in programming, statistics, and domain knowledge. The role evolves rather than disappears, emphasizing the importance of continuous learning and adaptation in the field.

Is 40 too late for data science?

Full Time Data Science Rotational Programs often accept candidates of various ages, and starting a career in data science at 40 is possible. Success depends on relevant skills such as programming, statistics, and experience with tools like Python or R, rather than age alone.

Is 30 too late for data science?

The Full Time Data Science Rotational Program is open to candidates of various ages, and starting a career in data science at 30 is common. Success depends on skills, relevant experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What are the key skills and qualifications needed to thrive in a Full Time Data Science Rotational Program, and why are they important?

To succeed in a Full Time Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and experience using databases (SQL) are commonly required. Excellent problem-solving, adaptability, and strong communication skills help you collaborate across diverse teams and effectively present insights. These skills are critical because the rotational structure demands quick learning, versatility, and the ability to deliver impactful data-driven solutions in different business contexts.

Are rotational programs full-time jobs?

Yes, rotational programs, including full-time data science rotational programs, are typically considered full-time employment opportunities. Participants usually work standard hours, receive benefits, and are employed under a formal contract similar to other full-time roles. These programs often provide training and exposure to different areas within a company over a set period.

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

AspectFull Time Data Science Rotational ProgramData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Business, Economics, or related fields
Work EnvironmentRotational assignments across teams, focus on data science projectsFocused on data interpretation, reporting, and visualization
Employer & Industry UsageCommon in tech, consulting, finance; designed for early-career developmentWidely used across industries for data-driven decision making

The Full Time Data Science Rotational Program offers a structured, multi-team experience for early-career professionals aiming to develop broad data science skills. In contrast, Data Analysts typically focus on analyzing and visualizing data within a specific domain. Both roles require strong analytical skills, but the rotational program emphasizes diverse project exposure and skill-building, making it ideal for those seeking a comprehensive entry into data science careers.

What is a Full Time Data Science Rotational Program?

A Full Time Data Science Rotational Program is a structured, entry-level career development initiative offered by many companies, designed to give recent graduates or early-career professionals broad exposure to different areas within data science. Participants rotate through several departments or teams, working on various data-driven projects, such as machine learning, analytics, data engineering, and business intelligence. These programs typically last 1-2 years and provide hands-on training, mentorship, and networking opportunities. The goal is to help participants develop a diverse skill set and identify their preferred area of specialization within data science. Upon completion, individuals are often placed into permanent data science roles within the organization.
More about Full Time Data Science Rotational Program jobs
What cities are hiring for Full Time Data Science Rotational Program jobs? Cities with the most Full Time Data Science Rotational Program job openings:
What are the most commonly searched types of Data Science Rotational Program jobs? The most popular types of Data Science Rotational Program jobs are:
What states have the most Full Time Data Science Rotational Program jobs? States with the most job openings for Full Time Data Science Rotational Program jobs include:
What job categories do people searching Full Time Data Science Rotational Program jobs look for? The top searched job categories for Full Time Data Science Rotational Program jobs are:
Infographic showing various Full Time Data Science Rotational Program job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 46% Full Time, 50% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Program Data Science Analyst

AEVEX

Tampa, FL

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Job Overview

The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives.

Essential Functions

  • Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets.
  • Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data.
  • Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
  • Build tools and automation to streamline data ingestion, transformation, and analysis.
  • Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments.
  • Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics.
  • Design, develop, test, and document data science microservices and analytical applications
  • Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools
  • Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability.
  • Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables.
  • Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations.
  • Develop and analyze key performance indicators (KPIs) to monitor project health and success.
  • Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters.
  • Maintain and update project management tools and systems
  • Generate detailed project reports, dashboards, and presentations for stakeholders.
  • Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency.
  • Facilitate and participate in post-project evaluations and recommend improvements for future initiatives.
  • Ensure that all project documentation is stored and organized according to PMO standards
  • Perform additional duties as required to support the success of project initiatives.

Standard Essential Functions

  • Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
  • Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
  • Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

  • Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint)
  • Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights.
  • Proficiency in Python; experience with C++, Java, or R is beneficial
  • Familiarity with AI/ML tools supporting logistics or operational use cases.
  • Ability to quickly learn new tools and technologies.
  • Effective verbal and written communication, alongside strong interpersonal and collaboration skills.
  • Detail-oriented with a commitment to accuracy, data integrity, and confidentiality
  • Ability to manage multiple tasks and priorities effectively in a fast-paced environment.
  • Self-starter with strong problem-solving skills; able to work independently with minimal oversight.
  • Collaborative team player with strong interpersonal skills.
  • Excellent organizational and time management skills in fast-paced environments.

Education / Certifications

  • Bachelor's degree in business administration, data analytics, or a related field.
  • Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred.
    • Additional applicable experience may be substituted for formal education.
  • Certifications in project management (e.g., PMP, CAPM) or data analysis (e.g., Tableau, Power BI) are a plus.

Experience

  • 5+ years of experience using data science, machine learning, or advanced analytics
  • 2+ or more years of experience in project analysis, data analysis, or project management (preferred).
  • Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik).
  • Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker).
  • Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML).
  • Experience communicating analytical findings through visualizations and presentations.
  • Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets).
  • Experience working with structured, unstructured, or semi-structured data and conducting analysis
  • Strong experience with SQL and relational databases.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is:

  • Frequently required to sit, and to reach to use computers and other office equipment

For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Security Clearance

  • Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required.
  • Eligibly to obtain/maintain Top Secret/SCI preferred.

Disclaimer:

AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

About AEVEX

AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia.

AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees.

Equal Employment Opportunity:

AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.