Data Scientist: AI & Marketing Analytics, Hybrid

centerfield.com; Los Angeles (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work schedule in Playa Vista

Competitive salary + semi-annual bonus

Unlimited PTO

Excellent medical/dental/vision plans

401(k) company match

In-office amenities and team events

Job summary

Centerfield is hiring a Data Scientist to turn complex data into models, insights, and recommendations that drive business performance. You will tackle customer behavior, marketing effectiveness, sales conversion, and forecasting with stakeholders, data engineers, and ML engineers.

The role blends statistics, machine learning, and practical AI/LLMs to extract value from unstructured data and automate analyses for faster decision-making.

Qualifications

• 2+ years of experience applying statistics and machine learning to business problems.
• Strong SQL skills and Python for data prep, analysis, modeling, and evaluation.
• Solid foundation in statistics and ML including regression, classification, clustering, and hypothesis testing.
• Experience with feature engineering, model validation, and selecting evaluation metrics.
• Experience with AI and LLMs, including prompts and evaluating outputs.
• Ability to translate ambiguous business questions into a structured analytical approach.
• Attention to data quality, reproducibility, and documentation; familiarity with version control.
• Strong communication and cross-team collaboration abilities.

Responsibilities

• Partner with marketing, sales, and operations to define problems, metrics, and opportunities to improve conversion, revenue, and efficiency.
• Explore and combine data from multiple sources using SQL and Python; document assumptions.

Skills

Python

SQL

Statistics

Machine Learning

Communication

Data Visualization

Education

Bachelor's degree in a quantitative field

Tools

BigQuery

Pandas

MLflow

LLMs

Job description

Centerfield is hiring a Data Scientist to turn complex data into models, insights, and recommendations that drive business performance. You will tackle customer behavior, marketing effectiveness, sales conversion, and forecasting with stakeholders, data engineers, and ML engineers.

The role blends statistics, machine learning, and practical AI/LLMs to extract value from unstructured data and automate analyses for faster decision-making.