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Internship Economics Computer Science Jobs in Detroit, MI

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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Internship Economics Computer Science information

Is $30 an hour good for an internship?

For an internship in economics or computer science, $30 an hour is considered above average, as most internships pay between $15 and $25 per hour. However, pay rates can vary based on location, company, and the level of skills required, such as programming or data analysis. It's also important to consider the experience gained and whether the internship offers other benefits like mentorship or networking opportunities.

What are the key skills and qualifications needed to thrive as an Economics and Computer Science Intern, and why are they important?

To thrive as an Economics and Computer Science Intern, you need foundational knowledge in economic theory, data analysis, and programming—often supported by coursework in economics, statistics, and computer science. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience using statistical software, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills will help you stand out in this role. These competencies are crucial for interpreting complex data, contributing valuable insights, and collaborating efficiently with multidisciplinary teams.

What are Internship Economics Computer Science positions?

Internship Economics Computer Science positions are temporary roles designed for students or recent graduates interested in the intersection of computer science and economics. These internships typically involve tasks such as data analysis, economic modeling, programming, and research to solve real-world economic problems using computational methods. Interns gain hands-on experience working with large datasets, developing algorithms, and applying economic theory to technology-driven projects. These positions are often found in research institutions, tech companies, financial firms, and government agencies, providing valuable exposure to both fields.

What jobs combine economics and computer science?

Jobs that combine economics and computer science include roles such as data analyst, financial analyst, quantitative analyst, economic consultant, and machine learning engineer. These positions often require skills in programming, statistical analysis, and economic modeling, and are common in finance, consulting, and technology sectors.

What internships can economics students do?

Economics students can pursue internships in areas such as financial analysis, economic research, data analysis, consulting, and policy analysis. These internships often involve skills in data modeling, statistical software, and economic theory, providing practical experience in finance, government agencies, or private firms.

What is the difference between Internship Economics Computer Science vs Internship Data Analysis?

AspectInternship Economics Computer ScienceInternship Data Analysis
Required SkillsEconomics principles, programming, data modelingStatistical analysis, programming, data visualization
Work EnvironmentResearch, software development, economic modelingData processing, reporting, business insights
Industry UsageFinance, tech, consultingMarketing, finance, tech

Internship Economics Computer Science focuses on applying economic theories with programming skills to analyze markets and develop models. In contrast, Internship Data Analysis emphasizes statistical techniques and data visualization to interpret large datasets. Both roles often overlap in tech and finance sectors, but their core focus and skill sets differ slightly.

Which internship is best for a CS student?

The best internship for a CS student depends on their interests and career goals, but generally, internships at technology companies or research labs that offer hands-on experience with programming, software development, or data analysis are valuable. Look for roles that provide mentorship, exposure to relevant tools like Python or Java, and opportunities to work on real projects. These internships can enhance skills, build a professional network, and improve job prospects after graduation.

What types of projects can I expect to work on during an Economics and Computer Science internship?

As an intern combining economics and computer science, you can expect to work on projects involving data analysis, algorithm development, and economic modeling. Typical tasks may include using programming languages like Python or R to analyze large datasets, building predictive models for financial or market trends, and collaborating with economists and software engineers to develop data-driven solutions. These projects not only enhance your technical skills but also provide valuable exposure to real-world economic problem-solving within a collaborative, interdisciplinary team environment.
Infographic showing various Internship Economics Computer Science job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.
Senior Analyst, Remarketing Analytics

Senior Analyst, Remarketing Analytics

Stellantis Financial Services US

Rochester, MI

$81K - $107K/yr

Full-time

Posted 29 days ago


Job description

Stellantis Financial Services (SFS) is the new captive finance company for one of the world's leading automakers and a mobility provider with iconic brands including Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall, Free2move and Leasys.

Our exciting growth provides opportunities to advance your career as we successfully lead products and services from a small to midsize company in just a few years. Join our world class team and culture and contribute to our core mission which is enhancing our customer's experience.

Position Summary:
The Senior Analyst, Remarketing Analytics is responsible for delivering advanced, data-driven insights
across the remarketing lifecycle to optimize asset performance and maximize returns. This role partners
cross-functionally to analyze key initiatives, identify trends and opportunities, and influence strategic
decision-making through clear and compelling storytelling. The Senior Analyst develops scalable
analytics solutions, enhances reporting capabilities, and serves as a subject matter expert to elevate team
performance and ensure data integrity.

Essential Duties and Responsibilities:

  • Deliver advanced analytics across the remarketing lifecycle, driving projects from problem

  • definition through modeling and insight generation to optimize proceeds, cycle time, and channel performance.

  • Monitor remarketing performance, identifying trends, risks, and opportunities and translating them into actionable insights.

  • Lead and support strategic initiatives and testing, partnering cross-functionally to design analyses, define success metrics, and evaluate outcomes.

  • Translate complex data into clear, actionable insights, tailoring communication for stakeholders, including senior leadership.

  • Develop and maintain scalable analytics solutions, automating reporting and standardizing data, metrics, and business rules.

  • Build and manage dashboards and scorecards, providing visibility into key remarketing KPIs and performance trends.

  • Serve as a subject matter expert in remarketing analytics, promoting best practices in analysis, data governance, and data quality.

  • Mentor and support junior analysts, enhancing team analytics capability and effective storytelling.

  • Collaborate cross-functionally to align data definitions, resolve discrepancies, and ensure actionable, business-aligned insights.

  • Perform other duties as assigned.

Qualifications and Competencies Required


Required Experience:

  • Minimum of five (5) years of experience in analytics, preferably in auto finance, automotive, or arelated industry

  • Advanced proficiency with SQL, Fabric, Python, R, or other business intelligence software.

  • Advanced proficiency with Microsoft Office Suite applications such as Excel, PowerPoint, Word,and Power BI.

  • Experience with data visualization tools (e.g., Tableau, Power BI)

  • Experience working with modern data platforms (e.g., Snowflake, Fabric)

  • Strong analytical thinking and problem-solving skills

  • Ability to translate data into business insights and influence decision-making.

  • Proven ability to manage multiple priorities and work independently.

Education:

  • Bachelor’s Degree in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields.

Qualifications Preferred:

  • Master’s Degree and/or PhD in: Mathematics, Statistics, Economics, Computer Science, Finance, or other quantitative fields is a plus

  • Familiarity with Salesforce workflows and experience creating Salesforce reports and dashboards

  • Prior Auto finance or captive finance industry is highly preferred

Additional Requirements:

  • Must have reliable transportation and live within a commutable distance to one of the following cities: Auburn Hills, MI, Dallas, TX or Atlanta, GA

Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule: This position requires the ability to work various shifts to accommodate business needs. Typically, between the hours of 8AM-6PM Monday through Friday and on weekends as needed. Travel is required 0% - 10% of the time.

An applicant must be authorized to work in the United States to be eligible for this position. Stellantis Financial Services, Inc. will not sponsor applicants for work visas of any type for this position.

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.