Senior Data Scientist, Customer Data Modeling

United States /
Future Opportunities – Strategy and Insights /
Full Time
We are seeking a Senior Data Scientist who can contribute to our growing practice by collaborating in a team environment to deliver data-driven insights for digital marketing to clients across many industries. This role involves direct client consulting to develop various types of machine learning models on customer data, from ideation to deployment, while maintaining a focus on business goals and activation use cases. The ideal candidate would be highly adaptable to new areas of domain knowledge and have a natural curiosity for what patterns and pain points connect the business world. 

Role and Responsibilities

    • Produce data-driven models for a wide range of business problems and industries using best-practice techniques in regression and classification, while demonstrating a connection to marketing strategy principles such as audience targeting and personalization
    • Aggregate and analyze disparate datasets, including web analytics, customer, and marketing data to draw conclusions and deliver actionable insight
    • Join user level data from multiple sources using APIs, Cloud Functions, and built in platform integrations, to build user propensity models and product recommenders 
    • Deploy model pipelines in production environments across Google Cloud Platform, Adobe Experience Platform, and Azure
    • Work directly with clients from various industries, explaining methods at appropriate level, anticipating and explaining risks and blockers
    • Collaborate with project managers, communicating updates to progress and timelines, and balancing workloads across 3-5 client accounts at a time
    • Collaborate with internal marketing, design and strategy teams to define and execute cross-functional solutions, driving meaningful activation in digital marketing platforms
    • Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
    • Contribute to a highly collaborative data science team with brainstorming, peer reviews, and knowledge transfer to increase consistency of deliverables and repeatability of solutions 

Preferred Qualifications

    • 4+ years experience in digital marketing, with 1-2 years applying machine learning algorithms for clients 
    • Bachelor’s degree demonstrating skills in quantitative and scientific methods; advanced degrees a plus; additional data science certifications a plus
    • Experience working with Google or Adobe web analytics data 
    • Demonstrated advanced SQL skills (partitioning, nesting, regex, etc.)
    • Demonstrated advanced Python skills, with experience in regression and classification techniques for user-level predictions 
    • Knowledge of either Google or Adobe marketing ecosystems (Paid/Social, Email, CRO)
    • Experience with Adobe Experience Platform is a major plus 
    • Experience with cloud computing platforms and data warehousing a plus
 (GCP, AWS or Azure)

We invite you to subscribe to our monthly and quarterly newsletters to stay up to date with the latest job openings as well as resources and tips for job seekers here.

Research shows that women and other underrepresented groups apply only if they meet 100% of the criteria of a job posting. If you have passion and intelligence, and possess a technical knack (even if you’re missing some of the above), we encourage you to apply.

Bounteous is focused on promoting an inclusive environment and is proud to be an equal opportunity employer. We celebrate the different viewpoints and experiences our diverse group of team members bring to Bounteous. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.

Bounteous is willing to sponsor eligible candidates for employment visas.