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Bosch Home Comfort USA · 10 hours ago

Sales Team Data Science - Summer Intern

Farmington Hills, MI

Internship

Onsite

Intern

1+ years exp

Bosch Home Comfort USA is seeking a highly motivated Data Science Engineer intern to join their team in Farmington Hills, Michigan. The role involves designing and implementing AI-driven tools and automated workflows that enhance the efficiency and strategic capabilities of internal stakeholders in Sales, Project Management, and Innovation Engineering.

IndustrialManufacturing

No H1B

Responsibilities

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

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

Own the entire lifecycle of your solutions, from data acquisition and feature engineering to model training, deployment (MLOps), monitoring, and continuous improvement

Design and implement scalable, resilient, and performant data pipelines and machine learning infrastructure

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

Stay ahead of the curve on emerging AI/ML technologies and evaluate their potential application within our business

Qualification

Data ScienceMachine LearningPythonSQLMLOpsAWSAzureGCPInnovationCommunication SkillsProblem-SolvingCollaborationMentoring

Required

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

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

Deep expertise in ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, etc

Deep expertise in data manipulation and analysis libraries: Pandas, NumPy

Deep expertise in 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: You're not just executing tasks; you're finding the best solutions to real-world business problems

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field