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About the Role
We are looking for a Data Scientist with 2+ years of experience to transform complex data into actionable models, insights, and recommendations that enhance business performance. This role involves addressing challenges in customer behavior, marketing effectiveness, sales conversion, and forecasting, while collaborating with business stakeholders, data engineers, and machine learning engineers. The position requires a strong understanding of statistics and machine learning, with the ability to apply AI and large language models (LLMs) to real-world business challenges.
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, investigating data quality issues, developing features, and documenting 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, evaluating output quality, reliability, cost, and appropriate data handling.
- Present findings to technical and nontechnical audiences, explaining trade-offs and recommending clear next steps.
Requirements
- 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, including 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.
Skills
- SQL
- Python
- Statistics
- Machine Learning
- Regression
- Classification
- Clustering
- Hypothesis Testing
- Feature Engineering
- Model Validation
- AI
- LLMs
- Version Control
Location
- Playa Vista, CA
Work Type
- Hybrid
Experience Level
- 2+ years
Benefits
- Competitive salary
- Semi-annual bonus
- Unlimited PTO
- Industry-leading medical, dental, and vision plans
- Generous parental leave
- 401(k) company match plan – fully vested on day 1
- Fully stocked kitchens with snacks & drinks
- Breakroom supplied with games, couches, workout equipment
- Weekly in-office exercise classes hosted by professional instructors
- Free onsite gym + locker rooms
- Paid charity and volunteer days
- Monthly team outings
About the Company
- Centerfield delivers outcome-based digital marketing solutions and personalized omnichannel experiences for leading brands.
- Powered by its 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.
- Headquartered in Silicon Beach, Centerfield is recognized by Built in LA as a Best Place to Work in Los Angeles.
- Award-winning culture & unprecedented team spirit (featured in LA Business Journal & Built In LA).
Equal Opportunity
- 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.