Staff Data Scientist | Modeling
MachinifySalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
MarketingIndustries
Requirements
- A degree in Computer Science, Mathematics, Physics, or a related field
- Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend
- Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more
- Experience with A/B testing and other experimentation methods to validate model performance and business impact
- Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines
- Strong problem-solving skills, creativity, and attention to detail
- Excellent communication skills with the ability to distil complex analyses into insights that clients can easily understand and act on
Responsibilities
- Design, build, and implement cutting-edge predictive models such as causal AI campaign modelling, campaign forecasting engines, pricing elasticity models, and recommender engines that drive media performance, personalise customer experiences, and optimise revenue for clients
- Lead a team of data scientists, providing guidance, mentorship, and fostering their professional growth
- Oversee multiple data science projects, ensuring they are delivered on time and meet or exceed client expectations (opportunity for direct reports depending on experience)
- Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that impact clients' businesses
- Develop data solutions, tools, and prototypes that showcase capabilities and empower clients with self-service frameworks
- Present findings and recommendations clearly and engagingly to technical and non-technical audiences
- Collaborate with cross-functional teams in a fast-paced environment and document processes for scalability
Skills
Causal AI
Predictive Modeling
Campaign Forecasting
Pricing Elasticity
Recommender Engines
Prescriptive Analytics
Data Prototyping
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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