Data Scientist

Los Angeles, California · Remotefull timeRemote

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entry

$95k–$115k

H1B: no

Centerfield Data Scientist with 2+ years experience applying statistical analysis and machine learning to business problems. Responsible for building predictive models and applying AI and LLMs to improve marketing, sales, and operational outcomes.

Responsibilities

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...

Qualification

Strong SQL skillsExperience with feature engineeringExperience with GCPExperience in digital marketingExperience with forecastingFamiliarity with LLM APIsLife at CenterfieldThis is a hybrid positionCompetitive salary + semi-annual bonus

Required

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

Preferred

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

Benefits

Dental
Vision
401(k)
PTO
Annual Bonus
Parental Leave

Company

Centerfield

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Source: ashby

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

SQLPythonstatisticsmachine learningregressionclassification

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