Data Scientist

Centerfield

. Partner with marketing, sales, and operations teams to define business problems and success metrics .

Posted 10/26/2026full-timeLos Angeles • California • United StatesJuniorMid-Level💰 $95,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science with strong skills in SQL and Python for data analysis, modeling, and evaluation. Capable of building predictive models and applying statistical analysis to drive business insights and recommendations.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingStatistical AnalysisMachine LearningAI and LLM Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePredictive ModelingFeature EngineeringModel ValidationRegressionClassificationClusteringHypothesis TestingData Quality AssuranceAutomation of Analyses

Soft Skills

Strong CommunicationCross-Functional CollaborationAttention to DetailProblem-Solving

Tools & Technologies

SQLPythonAILLMsVersion Control

Industry Keywords

Data QualityReproducibilityBusiness MetricsConversion OptimizationRevenue Improvement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with marketing, sales, and operations teams to define business problems and success metrics
Identify opportunities to improve conversion, revenue, and efficiency
Explore and combine data from multiple sources using SQL and Python
Investigate data quality issues, develop features, and document assumptions
Build and evaluate predictive models for propensity, lifetime value, segmentation, and forecasting
Apply statistical analysis and experimentation to measure performance and impact
Develop reusable analytical workflows and automate recurring analyses
Collaborate with engineering teams to integrate models into business workflows and monitor performance
Apply AI and LLMs to extract insights from unstructured data and support analytical workflows
Evaluate AI output quality, reliability, cost, and data handling
Present findings to technical and nontechnical audiences and recommend next steps

Requirements

What you’ll need

2+ years of experience in data science or a closely related role
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, evaluation metrics, overfitting, and data leakage
Experience with AI and LLMs through professional, academic, or personal projects
Familiarity with prompting, model outputs, and evaluating accuracy and reliability
Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations
Attention to data quality, reproducibility, and documentation
Familiarity with version control
Strong communication and cross-functional collaboration skills
Willingness to work in the Playa Vista, California office every Tuesday, Wednesday, and Thursday
Must address United States work sponsorship requirements

Benefits

Comp & perks

Semi-annual bonus
Unlimited PTO
Medical, dental, and vision plans
Generous parental leave
401(k) company match plan, fully vested on day 1
Outside patio with cabanas, firepits, and working grills
Monthly happy hours
Catered lunches and daily food trucks
Fully stocked kitchens with snacks and drinks
Breakroom with games, couches, workout equipment, and weekly in-office exercise classes
Free onsite gym and locker rooms
Paid charity and volunteer days
Monthly team outings
Career growth and promotion from within