Sales Team Data Science - Summer Intern
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- 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 – you'll 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.
- 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: 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.
- 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.
- 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
- 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.
- Reinvent yourself: At Bosch, you will evolve.
- Discover new directions: At Bosch, you will find your place.
- Balance your life: At Bosch, your job matches your lifestyle.
- Celebrate success: At Bosch, we celebrate you.
- Be yourself: At Bosch, we value values.
- Shape tomorrow: At Bosch, you change lives.
- Find a job
- Apply
- Upload your resume
- Apply using your LinkedIn or Indeed profile
- Enter your information manually
- Application received
- Interview
- Welcome to Bosch!
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