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Behavior Analysis Intern Jobs in California (NOW HIRING)

Centerfield

Data Science Intern

Los Angeles, CA · On-site

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... Analyze call transcripts and help build and refine rules that extract behavioral and intent signals ...

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Infographic showing various Behavior Analysis Intern job openings in California as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Data Science Intern

Centerfield

Los Angeles, CA • On-site

Internship

Re-posted 6 days ago

Job description

Hi, We're Centerfield!
Supercharged customer acquisition. Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for the world's leading brands. Powered by our proprietary Dugout platform, Centerfield acquires customers at scale for leading residential service, insurance, e-commerce, and B2B brands. Centerfield's digital experiences and digital brands, such as Business.com and BroadbandNow.com, reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.
The Opportunity...
Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data Science team on the systems that turn millions of customer conversations into intelligence. You'll contribute directly to our call intelligence and customer data platforms - helping us extract behavioral signals from phone calls, validate predictive models, and activate that intelligence to personalize experiences for over 150 million shoppers annually. This is a builder's internship: you'll write real code, work with real data, and ship work that informs real business decisions, all with the mentorship and support of an experienced DS bench.
How You'll Contribute...
  • Trait Extraction & Analysis: Analyze call transcripts and help build and refine rules that extract behavioral and intent signals, measuring their accuracy against human-labeled benchmarks.
  • Model Validation: Support the team in validating predictive models and traits feeding into our customer data platform - quantifying how well signals correlate with conversion, retention, and customer value.
  • Data Exploration: Profile and clean high-volume data, surface patterns and quality issues, and translate findings into clear, actionable summaries for the team.
  • LLM & GenAI Experimentation: Get hands-on with modern GenAI workflows -prompting, evaluation, and lightweight RAG experiments - to help assess summary quality and reduce hallucinations in production outputs.
  • Communicate Findings: Build charts, notebooks, and short write-ups that make your analysis easy for both technical and business stakeholders to act on.

What We're Looking For...
  • Education: Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  • Programming: Solid foundation in Python and familiarity with core data libraries (e.g., pandas, NumPy, scikit-learn) through coursework, research, or personal projects.
  • ML & Stats Fundamentals: Working understanding of machine learning concepts and applied statistics - regression, classification, evaluation metrics, and basic experimental thinking.
  • Data Skills: Comfortable querying and manipulating data with SQL, and curious about working with large, messy, real-world datasets.
  • GenAI Curiosity: Genuine interest in LLMs and Generative AI, with some hands-on exposure (prompting, an API project, a course, or experimentation) even if not yet professional.
  • Mindset: Self-starter who communicates clearly, asks good questions, and is eager to take a problem from notebook to a result the team can use.

Bonus Points!
  • Cloud Exposure: Any experience with a major cloud platform, especially GCP (BigQuery, Vertex AI), is a plus.
  • NLP / Text Data: Prior work with natural language processing, transcripts, or unstructured text data.
  • Graph or CDP Concepts: Familiarity with graph databases (e.g., Neo4j) or customer data/identity resolution concepts.
  • Visualization: Experience building dashboards or visualizations to tell a story with data

Intern Life at Centerfield...
  • This is a hybrid position, and employees are expected to work in our Playa Vista, CA office every Tuesday, Wednesday & Thursday.
  • Outside patio overlooking Playa Vista + cabanas, firepits & working grills.
  • Breakroom supplied with games, couches, workout equipment + weekly in-office exercise classes hosted by professional instructors (yoga, kickboxing & circuit training).
  • Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.).
  • Unlimited free snacks and drinks around the office!
  • Monthly happy hours, catered Thursday lunches.
  • Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA Best Places to Work).
  • Monthly team outings (ball games, casino night, hikes, etc.).
  • Career growth - we enjoy promoting from within!

#LI-Hybrid
#LI-AA1
AI & Interview Policy
At Centerfield, we use AI tools internally to support efficiency and fairness in our hiring process, including resume screening and administrative tasks.
Candidates are welcome to use AI tools ethically to prepare for interviews, such as practicing responses or researching questions. However, all responses during the interview process should reflect your own knowledge, experience, and judgment.
The use of AI tools to generate responses during live interviews, technical assessments, or written submissions is not permitted unless explicitly stated otherwise.
To learn more, visit us Here.
Interviews will take place after resumes have been screened for the minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.
For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at https://www.centerfield.com/privacy-policy/.
Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.

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