Lead Data Scientist
HumanaSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Marketing, AdvertisingIndustries
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
- Excellent problem-solving skills, attention to detail, and a growth mindset to continuously learn and adapt
- Strong communication skills - capable of translating complex analyses into actionable insights for stakeholders
- (Nice-to-Have) Banking/Fintech experience: familiarity with data typically found in regulated or financial industries, along with knowledge of building data solutions in these domains
- (Nice-to-Have) A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling
- (Nice-to-Have) Exposure to advanced techniques - RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, etc
- (Nice-to-Have) Hands-on knowledge of model versioning (MLflow), API design (FastAPI), or dashboard building (Dash)
Responsibilities
- Design, build, and implement pragmatic predictive models (e.g., causal AI campaign modelling, forecasting engines, price elasticity models) that drive marketing performance, personalize customer experiences, and optimize revenue for clients
- Collaborate with and provide guidance to junior data scientists - helping them grow technically and professionally. Depending on experience, this role may include oversight of smaller workstreams or the opportunity to lead sub-projects
- Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that have a tangible business impact
- Develop data solutions, tools, and prototypes that showcase capabilities and empower clients with self-service frameworks
- Present findings to both technical and non-technical audiences in a clear, engaging way
- Work closely with cross-functional teams in a fast-paced, client-centric environment, ensuring processes and solutions are well documented for scalability
Skills
Predictive Modeling
Causal AI
Forecasting Engines
Price Elasticity Models
Prescriptive Analytics
Data Analysis
Prototyping
Machine Learning
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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