Data Scientist
Los Angeles, California · Los Angeles, California, United States
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Hybrid — work setting source
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
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering › Data Engineering — team source
Department: Engineering › Data Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
At the moment, do you require sponsorship to work in the United States?
From the employer’s application form
What you’ll work on
Full postingBuild and evaluate models for propensity, lifetime value, segmentation, and forecasting
Partner with marketing, sales, and operations to define problems and success metrics
Explore and combine data from multiple sources using SQL and Python
Apply statistical analysis and experiments to measure performance drivers and impact
Apply AI and LLMs to unstructured data and analytical workflows
From the employer’s posting
Build and evaluate predictive models for use cases such as customer propensity, lifetime value, segmentation, and forecasting.
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.
Apply statistical analysis and experimentation to understand performance drivers, measure impact, and communicate uncertainty and limitations.
Apply AI and LLMs to use cases such as extracting insights from unstructured data and supporting analytical workflows.
Tools in this posting
- Python
- SQL
- BigQuery
- GCP
Source — Tool mentions in context
- 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.
- 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.
Bonus Points... - Experience with GCP, BigQuery, or comparable cloud data platforms. - Experience in digital marketing, customer acquisition, sales, or customer analytics.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 4
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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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 trucks
Award-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!
#LI-AA1
#LI-Hybrid
AI & Interview Policy
At Centerfield, we use AI tools internally to support efficiency and fairness in our hiring process, including resume screening and administrative tasks.
Candidates are welcome to use AI tools ethically to prepare for interviews, such as practicing responses or researching questions. However, all responses during the interview process should reflect your own knowledge, experience, and judgment.
The use of AI tools to generate responses during live interviews, technical assessments, or written submissions is not permitted unless explicitly stated otherwise.
To learn more, visit us Here.
Interviews will take place after resumes have been screened for the minimum requirements. Please note that this position is not restricted solely to the responsibilities listed above and that the job scope and responsibilities are subject to change.
For more information about our collection, use, and disclosure of your personal information in connection with our evaluating your candidacy, please visit our Privacy Policy at https://www.centerfield.com/privacy-policy/.
Centerfield Media is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Los Angeles, California, United States
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
More source context
#LI-AA1 #LI-Hybrid AI & Interview Policy
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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