This internship takes place in Farmington Hills Michigan the headquarters of Bosch North America in the Ford Customer team of Power Solutions.
The Opportunity: Build the Future of Business with AI
Are you a highly motivated Data Science Engineer with a passion for designing and implementing impactful AI and automated solutions Do you thrive on seeing your models and systems directly transform how Sales teams win Project Managers deliver and Innovation Engineers create
Were looking for a visionary and hands-on Data Science Engineer to join our growing team. Youll play a role in architecting developing and deploying AI-driven tools and automated workflows that directly enhance the efficiency intelligence and strategic capabilities of our critical internal stakeholders. This isnt just about building models; its about building solutions that empower our people and accelerate our business.
What Youll Do & The Impact Youll Make:
- Strategic AI Implementation: Lead the end-to-end design development and deployment of robust AI and machine learning solutions specifically tailored for our Sales Project Management and Innovation Engineering functions.
- For Sales: Imagine predictive lead scoring automated proposal generation assistance personalized sales enablement content or smart customer churn prediction.
- For Project Managers: Think intelligent resource allocation risk prediction automated progress reporting or optimized project scheduling.
- For Innovation Engineers: Envision AI-powered ideation tools automated patent searches market trend analysis or rapid prototyping support.
- Problem Solver & Innovator: Work closely with stakeholders to deeply understand their challenges identify high-impact opportunities for automation and AI and translate complex business problems into viable technical solutions.
- Full Lifecycle Ownership: From data acquisition and feature engineering to model training deployment (MLOps) monitoring and continuous improvement youll own the entire lifecycle of your solutions.
- Architect & Build: Design and implement scalable resilient and performant data pipelines and machine learning infrastructure.
- Thought Leadership & Collaboration: Act as a subject matter expert in data science and AI mentoring junior engineers and fostering a culture of innovation and data-driven decision-making across the organization.
- Technology Explorer: Stay ahead of the curve on emerging AI/ML technologies and evaluate their potential application within our business.
What Were 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: TensorFlow PyTorch Scikit-learn XGBoost etc.
- Data manipulation and analysis libraries: Pandas NumPy.
- 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 effectively.
- Excellent communication and collaboration skills: Ability to articulate complex technical concepts to non-technical audiences and work effectively with cross-functional teams.
- Problem-solving mindset: Youre not just executing tasks; youre finding the best solutions to real-world business problems.
- Bachelors or Masters 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 specific domains relevant to Sales (CRM data) Project Management (Jira/Asana APIs) or Innovation (IP data market research APIs).
- Prior experience in a consulting or product development environment where you delivered solutions to diverse internal or external customers.
- Knowledge of data visualization tools (Tableau Power BI Streamlit) to convey insights effectively.
Qualifications :
Minimum Qualifications
- Must be currently enrolled in an accredited university and 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
- Must be a minimum of 18 years of age
- Must work 30-40 hours per week
Additional Information :
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Remote Work :
No
Employment Type :
Full-time
This internship takes place in Farmington Hills Michigan the headquarters of Bosch North America in the Ford Customer team of Power Solutions.The Opportunity: Build the Future of Business with AIAre you a highly motivated Data Science Engineer with a passion for designing and implementing impactful ...
This internship takes place in Farmington Hills Michigan the headquarters of Bosch North America in the Ford Customer team of Power Solutions.
The Opportunity: Build the Future of Business with AI
Are you a highly motivated Data Science Engineer with a passion for designing and implementing impactful AI and automated solutions Do you thrive on seeing your models and systems directly transform how Sales teams win Project Managers deliver and Innovation Engineers create
Were looking for a visionary and hands-on Data Science Engineer to join our growing team. Youll play a role in architecting developing and deploying AI-driven tools and automated workflows that directly enhance the efficiency intelligence and strategic capabilities of our critical internal stakeholders. This isnt just about building models; its about building solutions that empower our people and accelerate our business.
What Youll Do & The Impact Youll Make:
- Strategic AI Implementation: Lead the end-to-end design development and deployment of robust AI and machine learning solutions specifically tailored for our Sales Project Management and Innovation Engineering functions.
- For Sales: Imagine predictive lead scoring automated proposal generation assistance personalized sales enablement content or smart customer churn prediction.
- For Project Managers: Think intelligent resource allocation risk prediction automated progress reporting or optimized project scheduling.
- For Innovation Engineers: Envision AI-powered ideation tools automated patent searches market trend analysis or rapid prototyping support.
- Problem Solver & Innovator: Work closely with stakeholders to deeply understand their challenges identify high-impact opportunities for automation and AI and translate complex business problems into viable technical solutions.
- Full Lifecycle Ownership: From data acquisition and feature engineering to model training deployment (MLOps) monitoring and continuous improvement youll own the entire lifecycle of your solutions.
- Architect & Build: Design and implement scalable resilient and performant data pipelines and machine learning infrastructure.
- Thought Leadership & Collaboration: Act as a subject matter expert in data science and AI mentoring junior engineers and fostering a culture of innovation and data-driven decision-making across the organization.
- Technology Explorer: Stay ahead of the curve on emerging AI/ML technologies and evaluate their potential application within our business.
What Were 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: TensorFlow PyTorch Scikit-learn XGBoost etc.
- Data manipulation and analysis libraries: Pandas NumPy.
- 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 effectively.
- Excellent communication and collaboration skills: Ability to articulate complex technical concepts to non-technical audiences and work effectively with cross-functional teams.
- Problem-solving mindset: Youre not just executing tasks; youre finding the best solutions to real-world business problems.
- Bachelors or Masters 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 specific domains relevant to Sales (CRM data) Project Management (Jira/Asana APIs) or Innovation (IP data market research APIs).
- Prior experience in a consulting or product development environment where you delivered solutions to diverse internal or external customers.
- Knowledge of data visualization tools (Tableau Power BI Streamlit) to convey insights effectively.
Qualifications :
Minimum Qualifications
- Must be currently enrolled in an accredited university and 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
- Must be a minimum of 18 years of age
- Must work 30-40 hours per week
Additional Information :
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable.
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Remote Work :
No
Employment Type :
Full-time
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