Data Scientist
About the job
- At least 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 understanding overfitting and data leakage.
- Ability to work with AI and large language models (LLMs), demonstrated through professional, academic, or personal projects; familiarity with prompting, working with model outputs, and evaluating 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.
- Ability to collaborate across technical and business teams.
- 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 customer propensity, lifetime value, segmentation, and forecasting use cases.
- 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 performance over time.
- Apply AI and large language models to use cases such as extracting insights from unstructured data and supporting analytical workflows; evaluate output quality, reliability, cost, and appropriate data handling.
- Present findings to technical and nontechnical audiences, explain trade-offs, and recommend clear next steps.
- Experience with Google Cloud Platform (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 large language model application programming interfaces (LLM APIs), embeddings, retrieval-augmented generation (RAG), or evaluating AI-powered applications.
- Experience partnering with engineering teams to deploy and monitor models.
About the company
Centerfield specializes in driving customer acquisition for large brands through performance-based digital marketing. Its approach combines technology, expert sales agents, and personalized, channel-optimized engagement (including text and chat) to move shoppers across devices toward a purchase. The company works with brands in home services and telecommunications, generating thousands of sales annually (about 2,000,000) and notable client outcomes (e.g., $100 million in sales for a leading home services company). Unlike typical marketing firms, Centerfield blends automated, data-driven marketing with live sales agents to create seamless buying experiences and measure success by the sales and customer acquisitions it delivers for its clients. The goal is to help partners grow their customer base and revenue by delivering high-quality, measurable results through a scalable, technology-enabled sales and marketing platform.
Company Size
1,001-5,000
Company Stage
Debt Financing
Total Funding
$831M
Headquarters
Los Angeles, California
Founded
2011
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Simplify's Take
What believers are saying
- April 29, 2026 refinancing removed near-term default risk and added new equity.
- Centerfield is still hiring across Jamaica and U.S. roles, signaling active demand.
- Platinum-backed acquisitions like ConsumerVoice and Brainjolt broaden inventory and cross-sell opportunities.
What critics are saying
- Centerfield faces a copyright suit from SocialCoaster filed June 16, 2026, risking damages.
- Its 2025 refinancing stalled before the April 2026 credit fix, signaling lender stress.
- Heavy dependence on call-center labor invites churn, compliance, and margin pressure if demand softens.
What makes Centerfield unique
- Dugout platform combines AI selling, omnichannel engagement, and automated appointment-setting across channels.
- Centerfield still serves 2,000-plus brands, giving it unusual scale in performance customer acquisition.
- Jamaica operations support 2,000-plus employees, creating a durable low-cost sales engine.
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Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Unlimited Paid Time Off
- 401(k) Company Match
- Paid Charity and Volunteer Days
- Parental Leave
- Performance Bonus