Data Scientist

RAPP•Los Angeles, CA

11d•$85,000 - $93,500•Hybrid

About The Position

RAPP Los Angeles is looking for a Data Scientist to join our award-winning Marketing Sciences team. WHO WE ARE: We are RAPP – world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. HOW WE DO IT: At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning. Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients. Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets. YOUR ROLE: We are seeking a highly skilled Data Scientist with deep expertise and understanding in statistical methods, machine learning models, Retrieval-Augmented Generation (RAG) architectures and neural networks. The ideal candidate will play an important role in researching, developing, and deploying advanced AI/ML solutions that drive business impact. Under the direction of the Director, Data Science, the Data Scientist will work cross-functionally to solve complex problems and deliver innovative, production-grade models.

Requirements

Master’s degree in computer science, Data Science, , Statistics, Mathematics, Economics, or related discipline
1-2 years’ experience applying statistical -mathematical analysis and/or analytics-based programming to model, forecast and/or answer tactical and strategic questions.
Working knowledge of database marketing principles, and databases and structure
Proficient in Python.
Familiarity with AI/Neural Networks.
Ideal candidate will have some experience with SparkML and/or other programming languages and API packages
Strong written and verbal communication skills

Responsibilities

Analyzes large and small internal and external datasets to extract actionable insights
Develop statistical/ machine learning models to drive targeting, messaging and strategic decision-making, which may include and is not limited to: Marketing Mix (MMM) and Marketing Attribution (MTA) models
Profile-based, Behavioral, LTV and other customer segmentation models
Response, look-alike, loyalty, net lift and other sales models
Survival Analysis, In-market and other timing models
Leads, sales and other KPI forecasting models
Support iteration and feature enhancement of existing models
Create new or challenger models with methods, data, and/or tools that are currently not in production.
Aid in code standardization, review, and versioning to increase efficiency and streamline process
Collaborate with other disciplines to explain insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences