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What are the key skills and qualifications needed to thrive as a Data Science Major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What types of projects or problems do Data Science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What is a Data Science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in Indiana? For Data Science Major jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Indiana look for? The top searched job categories for Data Science Major jobs in Indiana are:
What cities in Indiana are hiring for Data Science Major jobs? Cities in Indiana with the most Data Science Major job openings:
Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Indiana as of May 2026, with employment types broken down into 1% As Needed, 61% Full Time, 35% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Mid-Level MBSE Engineer (Active Secret w/ ability to obtain TS/SCI)

Amentum

Crane, IN • On-site

$110K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

Are you looking for an exciting, innovative company with over 100 years of excellence and commitment to ethical business? Amentum is a trusted partner to United States government agencies, allied governments, and corporations worldwide supporting critical programs across a broad range of domains. We are hiring a Mid-Level Model Based Systems Engineer to support key programs at NSWC Crane.
Check out our website: https://www.amentumcareers.com/crane-indiana-jobs
As our Mid-Level MBSE Engineer, you will:
  • Apply MBSE methodologies using SysML and supporting MBSE tools to capture, maintain, and visualize complete system solutions within a unified digital model, enabling clear design communication and automated integration across engineering domains.
  • Develop models of complex system architectures using standards-based languages (SysML).
  • Support architecture evaluations through both qualitative and quantitative analysis methods.
  • Identify and characterize uncertainties within system architectures and define associated risks and opportunities.
  • Contribute to requirements management, interface management, and architecture change control processes.
  • Convert analytical findings into clear, actionable recommendations for U.S. Government stakeholders.

REQUIRED QUALIFICATION
  • 6-10 years of Systems Engineering experience
  • 3-5 years of experience creating SysML models, analyses, and simulation using Cameo Systems Modeler
  • Able to generate CDRL documents from the MBSE models such as Requirements, Architecture, Interface Documents
  • Must have an Active US Government Secret Clearance with the ability to obtain and maintain a TS/SCI US Government Clearance. Please note US Citizenship is required to obtain a Secret/ TS/SCI Clearance.

EDUCATION
  • Bachelor's degree from ABET-accredited engineering program, or computer science major, or mathematics major.
  • Bachelor's degree with 8+ years of SE and/or MBSE experience, master's degree with 5+ years of MBSE experience

PREFERRED QUALIFICATION
  • Ability to create SysML models using Cameo Systems Modeler
  • Experience developing Models using MagicGrid Methodology a plus
  • Experience implementing MBSE on DoD Programs

Compensation Details:
$110,000 - $180,000 annually
The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.
Benefits Overview:
Our health and welfare benefits are designed to support you and your priorities. Offerings include:
  • Health, dental, and vision insurance
  • Paid time off and holidays
  • Retirement benefits (including 401(k) matching)
  • Educational reimbursement
  • Parental leave
  • Employee stock purchase plan
  • Tax-saving options
  • Disability and life insurance
  • Pet insurance

Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.
Original Posting:
05/07/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.
Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.

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