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Sales Team Data Science - Summer Intern

Job in Farmington Hills, Oakland County, Michigan, USA
Listing for: Bosch Home Comfort USA
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-03-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Location

Farmington Hills, MI (Hybrid - Four days in office mandatory)

Job Title

Sales Team Data Science - Summer Intern

Posting Information

Job posted:  | P

Role Overview

The Opportunity:

Build the Future of Business with AI.

What You'll Do & The Impact You'll Make:
  • Strategic AI Implementation:
    Lead the end-to-end design, development, and deployment of robust AI and machine learning solutions specifically tailored for Sales, Project Management, and Innovation Engineering functions.
    • For Sales: predictive lead scoring, automated proposal generation assistance, personalized sales enablement content, or smart customer churn prediction.
    • For Project Managers: intelligent resource allocation, risk prediction, automated progress reporting, or optimized project scheduling.
    • For Innovation Engineers: AI-powered ideation tools, automated patent searches, market trend analysis, or rapid prototyping support.
  • Problem Solver & Innovator:
    Work closely with stakeholders to deeply understand challenges, identify high-impact opportunities, and translate business problems into viable technical solutions.
  • Full Lifecycle Ownership:
    From data acquisition and feature engineering to model training, deployment (MLOps), monitoring, and continuous improvement.
  • Architect & Build:
    Design and implement scalable, resilient, and performant data pipelines and machine learning infrastructure.
  • Thought Leadership &

    Collaboration:

    Mentor junior engineers and foster a culture of innovation across the organization.
  • Technology Explorer:
    Stay ahead of emerging AI/ML technologies and evaluate potential applications.
What We're Looking For (Your Superpowers):
  • Hands‑on experience in Data Science or Machine Learning Engineering with a strong portfolio of deployed solutions.
  • Deep expertise in:
    • Programming languages:
      Python (essential), SQL.
    • ML frameworks:
      Tensor Flow, PyTorch, Scikit-learn, XGBoost, etc.
    • Data manipulation libraries:
      Pandas, Num Py.
    • Cloud platforms: AWS, Azure, or GCP (experience with MLOps tools/services on one of these is highly desirable).
  • Proven ability to build and deploy robust, production-grade machine learning systems.
  • Strong understanding of various ML algorithms (supervised, unsupervised, deep learning, NLP, time series) and when to apply them.
  • Excellent communication and collaboration skills: articulate complex technical concepts to non-technical audiences.
  • Problem‑solving mindset: find best solutions to real‑world business problems.
  • Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.
Bonus Points If You Have:
  • Automotive‑related hobby and/or experience working with engines or vehicles.
  • Experience with domains relevant to Sales (CRM data), Project Management (Jira/Asana APIs), or Innovation (IP data, market research APIs).
  • Prior experience in consulting or product development delivering solutions to diverse customers.
  • Knowledge of data visualization tools (Tableau, Power Bi, Streamlit) to convey insights effectively.
Minimum Qualifications
  • Must be currently enrolled in an accredited university pursuing a Bachelors or Masters degree in Engineering, Data Science, Computer Science or Business Administration with at least one semester completed.
  • 1+ year academic or industry experience with software languages and operating systems.
  • A minimum 3.0 GPA.
  • Minimum of 18 years of age.
  • Must work 30-40 hours per week.
Legal & Work Authorization
  • Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
  • Bosch adheres to Federal, State, and Local laws regarding drug‑testing. Employment is contingent upon successful completion of a drug screen and background check.
  • Equal Opportunity Employer, including disability / veterans.
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