Data Science Intern

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 & Programming

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 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.

Other Skills

• 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!

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.

Equal Opportunity Employer

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.