Calibration Process Data Science Intern

Bosch

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Quick summary

Work type: On-site
Location: Farmington Hills, MI
Employment: Intern
Posted: 37 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $171k

$112k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $123,750–$218,937.

Based on 240 similar postings.

Employer

About Bosch

Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.

Bosch currently has 34 open roles on FindRole.

Listed pay typically runs $165,000–$185,000 across 16 roles with salary data.

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At a glance

TL;DR · Calibration Process Data Science Intern

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JOB TITLE: Calibration Process Data Science Intern (8 months/40 hours per week) The Calibration Process Data Science Intern joins the Calibration Engineering group of Power Solutions to work on an eight-month project focused on automotive powertrain problems. This role involves supporting experienced engineers by performing data exploration, cleaning complex datasets, and applying statistical methods to identify patterns. Key responsibilities include developing machine learning models, performing feature engineering, and building predictive models for tasks like anomaly detection and quality improvement. The intern will use Python and possess experience with artificial intelligence and machine learning algorithms. Candidates must also have experience with software languages and operating systems. The work involves data mining, dimensionality reduction, and collaborative problem-solving to develop data-driven solutions for specific automotive applications and business challenges within the powertrain domain.

Skills

Python Machine Learning Artificial Intelligence Data Science Data Mining Data Visualization Predictive Modeling Regression Classification Clustering Dimensionality Reduction Data Preprocessing Feature Engineering Operating Systems

What you'll do

Collect, clean, and analyze large datasets to identify patterns and trends.
Develop and implement machine learning models and algorithms to solve business challenges.
Build predictive models for demand forecasting, anomaly detection, and quality improvement.
Perform data mining and pattern recognition using clustering and dimensionality reduction.
Work with cross-functional teams to develop data-driven solutions for automotive powertrain problems.
Document methodologies, algorithms, and results in clear reports for technical and non-technical audiences.
Stay updated on the latest advancements in data science and machine learning technologies.

What we're looking for

Must be currently enrolled in an accredited university pursuing a Bachelor's or Master's degree in Engineering with at least one semester completed.
Must have a minimum 3.0 GPA.
Must be at least 18 years of age.
Must be an indefinitely U.S. work authorized individual.
Must have very good Python skills.
Must have experience with Artificial Intelligence and Machine Learning algorithms from work or academic settings.
Must have 1+ year of academic or industry experience with software languages and operating systems.
Automotive-related hobby or experience working with engines or vehicles (preferred).

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