Data Scientist

The role

The Data Scientist will turn complex data into models, insights, and recommendations to improve business performance. You will tackle problems involving customer behavior, marketing effectiveness, sales conversion, and forecasting by partnering with business stakeholders, data engineers, and machine learning engineers.

What you will do

• Partner with marketing, sales, and operations teams to define business problems and success metrics.
• Explore and combine data from multiple sources using SQL and Python.
• Build and evaluate predictive models for customer propensity, lifetime value, segmentation, and forecasting.
• Apply statistical analysis and experimentation to understand performance drivers.
• Develop reusable analytical workflows and automate recurring analyses.
• Collaborate with engineering teams to integrate models and monitor performance.
• Apply AI and LLMs to extract insights from unstructured data and support workflows.
• Present findings to technical and nontechnical audiences.

Required qualifications

• 2+ years of experience in data science or a closely related role applying statistical analysis and machine learning to business problems.
• Strong SQL skills.
• Proficiency in Python for data preparation, analysis, modeling, and evaluation.
• Solid foundation in statistics and machine learning, including regression, classification, clustering, and hypothesis testing.
• Experience with feature engineering, model validation, and selecting appropriate evaluation metrics.
• Understanding of overfitting and data leakage.
• Ability to work with AI and LLMs through professional, academic, or personal projects.
• Familiarity with prompting, working with model outputs, and evaluating accuracy and reliability.
• Ability to translate ambiguous business questions into a structured analytical approach.
• Attention to data quality, reproducibility, and documentation.
• Familiarity using version control.
• Strong communication skills and ability to collaborate across technical and business teams.

Nice to have

• Experience with GCP, BigQuery, or comparable cloud data platforms.
• Experience in digital marketing, customer acquisition, sales, or customer analytics.
• Experience with forecasting, propensity modeling, customer lifetime value, or experiment design.
• Familiarity with LLM APIs, embeddings, retrieval-augmented generation (RAG), or evaluating AI-powered applications.
• Experience partnering with engineering teams to deploy and monitor models.

Benefits

• Competitive salary + semi-annual bonus
• Unlimited PTO
• Industry-leading medical, dental, and vision plans
• Generous parental leave
• 401(k) company match plan – fully vested on day 1
• Outside patio overlooking Playa Vista + cabanas, firepits & working grills
• Monthly happy hours, catered lunches + daily food trucks
• Fully stocked kitchens with snacks & drinks
• Breakroom supplied with games, couches, workout equipment + weekly in-office exercise classes
• Free onsite gym + locker rooms
• Paid charity and volunteer days
• Monthly team outings

About the company

Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for leading brands. The company is headquartered in Silicon Beach.