Data Scientist

centerfield; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Unlimited PTO

Medical, dental, and vision plans

401(k) company match

Office in Playa Vista, CA

Team outings

Job summary

Centerfield in Playa Vista, CA is seeking a Data Scientist with 2+ years of experience to turn complex data into models, insights, and recommendations that improve business performance. You’ll tackle problems around customer behavior, marketing effectiveness, and forecasting in collaboration with data engineers and ML engineers.

This role blends strong statistics and machine learning with applying AI and LLMs to practical business problems, delivering actionable results for cross-functional

Qualifications

• 2+ years of data science experience applying statistics and ML to business problems.
• Strong SQL and Python proficiency for data prep, analysis, modeling.
• Solid foundation in regression, classification, clustering, and hypothesis testing.
• Experience with feature engineering, model validation, and evaluation metrics.
• Ability to work with AI and LLMs and evaluate outputs.
• Ability to translate business questions into analytical approaches.
• Attention to data quality, reproducibility, and version control.
• Strong communication and cross-team collaboration.

Responsibilities

• Define business problems with marketing, sales, and operations, establish success metrics, and 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 understand performance drivers.
• 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 use cases such as extracting insights from unstructured data and supporting analytical workflows, evaluating output quality and cost.
• Present findings to technical and nontechnical audiences, explain trade-offs, and recommend next steps.

Skills

SQL

Python

Statistics

Machine Learning

Data Visualization

Communication

Version Control

Prompting/LLMs

Problem Solving

Tools

BigQuery

GCP

Python (pandas/numpy)

Job description

Hi, We're Centerfield! Supercharged customer acquisition. 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 leading residential service, insurance, e-commerce, and B2B brands. Centerfield's digital experiences and digital brands, such as Business.com and BroadbandNow.com , reach more than 150 million in-market shoppers annually. Centerfield is headquartered in Silicon Beach and is proud to be recognized by Built in LA as a Best Place to Work in Los Angeles.

Role Overview...

We're looking for a Data Scientist with 2+ years of experience to turn complex data into models, insights, and recommendations that improve business performance. You'll tackle problems involving customer behavior, marketing effectiveness, sales conversion, and forecasting, partnering with business stakeholders, data engineers, and machine learning engineers.

This role combines a strong foundation in statistics and machine learning with the ability to apply AI and large language models (LLMs) to practical business problems.

Core Responsibilities...

• Partner with marketing, sales, and operations teams to define business problems, establish success metrics, and 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 use cases such as customer propensity, lifetime value, segmentation, and forecasting.
• Apply statistical analysis and experimentation to understand performance drivers, measure impact, and communicate uncertainty and limitations.
• Develop reusable analytical workflows and automate recurring analyses to support faster, more consistent decision-making.
• Collaborate with engineering teams to integrate models into business workflows and monitor their performance over time.
• Apply AI and LLMs to use cases such as extracting insights from unstructured data and supporting analytical workflows. Evaluate output quality, reliability, cost, and appropriate handling of data.
• Present findings to technical and nontechnical audiences, explain trade-offs, and recommend clear next steps.

Job Responsibilities...

• 2+ years of experience in data science or a closely related role applying statistical analysis and machine learning to business problems.
• Strong SQL skills and proficiency in Python for data preparation, analysis, modeling, and evaluation.
• A 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, including an understanding of overfitting and data leakage.
• Ability to work with AI and LLMs, demonstrated through professional, academic, or personal projects. Familiarity with prompting, working with model outputs, and evaluating their accuracy and reliability.
• Ability to translate ambiguous business questions into a structured analytical approach and actionable recommendations.
• Attention to data quality, reproducibility, and documentation, with familiarity using version control.
• Strong communication skills and the ability to collaborate across technical and business teams.

Bonus Points...

• 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.

Life at Centerfield...

• This is a hybrid position, and employees are expected to work in our Playa Vista, CA office every Tuesday, Wednesday & Thursday
• Competitive salary + semi-annual bonus
• Unlimited PTO - take a break when you need it!
• 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 trucksAward-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA)
• Fully stocked kitchens with snacks & drinks
• Breakroom supplied with games, couches, workout equipment + weekly in-office exercise classes hosted by professional instructors (yoga, kickboxing & circuit training)
• Free onsite gym + locker rooms
• Paid charity and volunteer days (local mentor programs, adopt a pet, beach cleanup, etc.)
• Monthly team outings (ball games, casino night, hikes, etc.)
• Career growth - we enjoy promoting from within!

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