Data Science Intern

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 residential service, insurance, e-commerce, and B2B brands. Centerfield’s digital experiences and brands, such as  and , reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is recognized by Built In LA as a Best Place to Work in Los Angeles.

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, with the mentorship and support of an experienced DS bench.

• 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.

• 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, Num Py, 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.

• Cloud Exposure:
  Any experience with a major cloud platform, especially GCP (Big Query, 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.

• 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.
• Monthly team outings (ball games, casino night, hikes, etc.).
• Career growth – we enjoy promoting from within!

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.