Data Scientist, Marketing
Confluent$160,100 - $188,100/year
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Marketing, Precision Marketing, AdvertisingIndustries
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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the location for this Data Scientist role?
The role is based in Los Angeles with RAPP Los Angeles.
What salary or compensation does this position offer?
This information is not specified in the job description.
What are the key required skills for this Data Scientist position?
The role requires a Master’s degree in computer science, Data Science, Statistics, Mathematics, Economics, or related discipline, along with 1-2 years’ experience applying statistical-mathematical analysis and/or analytics-based programming to model and forecast. Deep expertise in statistical methods, machine learning models, Retrieval-Augmented Generation (RAG) architectures, and neural networks is essential.
What is the company culture like at RAPP?
RAPP fosters an inclusive workplace that emphasizes personal well-being, champions individuality in marketing solutions and the workplace, and leverages data, creativity, technology, and empathy to activate growth.
What makes a strong candidate for this Data Scientist role?
A strong candidate has a Master’s degree in a relevant field, 1-2 years of experience in statistical analysis and programming for modeling and forecasting, and deep expertise in statistical methods, machine learning, RAG architectures, and neural networks to develop production-grade AI/ML solutions.
RAPP
Precision marketing agency using data-driven strategies
About RAPP
RAPP Worldwide focuses on precision marketing by using detailed data and advanced technology to create personalized marketing experiences for consumers. They serve a variety of clients across sectors like healthcare and technology, delivering engaging campaigns that enhance customer experiences and build brand loyalty. RAPP generates revenue through marketing services such as data analytics and creative content production, as well as consulting to optimize marketing strategies. As part of the Omnicom Group, they leverage a broad network of resources to provide effective marketing solutions.
New York City, New YorkHeadquarters
1965Year Founded
$1.3MTotal Funding
SEEDCompany Stage
Data & Analytics, Consulting, Consumer GoodsIndustries
1,001-5,000Employees
Risks
Loss of key personnel may disrupt strategic initiatives.
New creative leadership could impact client satisfaction if misaligned.
Resource diversion to internal initiatives may affect client service delivery.
Differentiation
RAPP leverages data and technology for personalized marketing experiences.
RAPP is part of Omnicom Group, enhancing its global reach and resources.
RAPP combines creative strategies with data analytics for effective customer engagement.
Upsides
AI-driven personalization enhances RAPP's targeted customer experiences.
Privacy-centric data tools align with RAPP's data-driven marketing approach.
Programmatic advertising complements RAPP's precision marketing model.
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