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Internship Behavioral Data Science Jobs in Ohio (NOW HIRING)

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

... model behavior REQUIRED SKILLS & QUALIFICATIONS * Bachelor's degree in Computer Science, Data ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...

ClifyX

Senior Data scientist

Cincinnati, OH · On-site

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... Develop models that combine user behavior, product data, and contextual signals. Partner with ...

Tata Consultancy Services

$109K - $131K/yr

... Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • Internship experience in Data or Software Engineering • Knowledge of developing dimensional data models ...

Danaher

$95K - $113K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Toledo, OH · On-site

$96K - $114K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

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Internship Behavioral Data Science information

What is an internship in behavioral data science?

An Internship in Behavioral Data Science is a temporary, practical training position where students or recent graduates gain hands-on experience analyzing human behavior using data science techniques. Interns typically work with large datasets to identify patterns, design experiments, and apply statistical or machine learning methods to understand how people make decisions. This role often involves collaborating with multidisciplinary teams to translate findings into actionable insights for businesses, healthcare, public policy, or technology. The internship provides valuable exposure to real-world projects and can be a stepping stone to a full-time career in behavioral data science.

What is the difference between Internship Behavioral Data Science vs Behavioral Data Scientist?

AspectInternship Behavioral Data ScienceBehavioral Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree programs (e.g., Data Science, Psychology, Statistics)Bachelor's or Master's in Data Science, Psychology, Statistics, or related fields; often requires experience or advanced degrees
Work EnvironmentInternship setting, often in tech or research companies, with mentorship and trainingFull-time role in tech, finance, or healthcare industries, with independent project responsibilities
Employer & Industry UsageUsed by companies to evaluate potential talent and provide training opportunitiesEmployed to analyze behavioral data, develop models, and inform business decisions

In summary, Internship Behavioral Data Science positions are entry-level, focused on learning and skill development, while Behavioral Data Scientists are experienced professionals responsible for analyzing behavioral data and creating models to support organizational goals.

What types of projects do interns typically work on in a behavioral data science internship?

Interns in Behavioral Data Science often contribute to projects involving the analysis of user behavior data, designing and running experiments (such as A/B tests), and assisting with data visualization to communicate findings. You may collaborate closely with data scientists, UX researchers, and product managers to interpret behavioral patterns and help inform business or product decisions. This hands-on experience provides a strong foundation in both technical analytics and understanding the psychological factors that drive user actions.

What are the key skills and qualifications needed to thrive as an intern in behavioral data science?

To thrive as an Internship Behavioral Data Science, you need a solid background in statistics, data analysis, and behavioral science concepts, often supported by coursework in psychology, data science, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and experience using data visualization platforms like Tableau or Power BI are typically required. Strong analytical thinking, curiosity, and effective communication skills make candidates stand out in this position. These skills and qualities are crucial for translating complex behavioral data into actionable insights that inform business or research decisions.
What are the most commonly searched types of Behavioral Data Science jobs in Ohio? The most popular types of Behavioral Data Science jobs in Ohio are:
What are popular job titles related to Internship Behavioral Data Science jobs in Ohio? For Internship Behavioral Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Internship Behavioral Data Science jobs in Ohio look for? The top searched job categories for Internship Behavioral Data Science jobs in Ohio are:
What cities in Ohio are hiring for Internship Behavioral Data Science jobs? Cities in Ohio with the most Internship Behavioral Data Science job openings:
Internship Behavioral Data Science jobs near you

Machine Learning Engineer

Flexjet

Cleveland, OH • On-site

Full-time

Re-posted 4 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

18th of 65 rated aviation services

Job description

POSITION SUMMARY
Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.
DUTIES & RESPONSIBILITIES
  • Assist in developing and training machine learning models
  • Support the creation and maintenance of data pipelines
  • Help deploy ML models into production under guidance
  • Clean, preprocess, and analyze datasets for model training
  • Collaborate with team members to solve business problems using data
  • Monitor model performance and help troubleshoot issues
  • Document code, processes, and model behavior

REQUIRED SKILLS & QUALIFICATIONS
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
  • Basic proficiency in Python
  • Familiarity with machine learning concepts (regression, classification, clustering)
  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)
  • Understanding of data structures and algorithms fundamentals
  • Basic knowledge of SQL and data handling

PREFERRED QUALIFICATIONS
  • Internship, academic project, or personal project experience in machine learning
  • Familiarity with Git and version control
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)
  • Basic understanding of APIs or web services
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)
  • Strong willingness to learn and grow
  • Problem-solving mindset
  • Good communication and teamwork skills
  • Attention to detail

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