Bounteous is looking to solve complex challenges and create digital solutions for today’s complex challenges and tomorrow’s opportunities in the CPG and Retail space by creating recommendations, personalization and segmentation for marketing purposes
Requirements
- Extensive experience building machine learning solutions in a cloud stack (GCP, AWS, or Azure)
- Depth of knowledge in digital marketing data including datasets from channels such as paid media and web analytics
- Demonstrates advanced SQL skills (partitioning, nesting, regex, etc.)
- Demonstrates high level of proficiency in Python, and at least one data science toolkit (Sklearn, Tensorflow, etc.)
- Some experience with data visualization
- Some experience with productionizing a ML system, e.g. exposing via API, creating service layer, etc.
- Experience with regression and classification techniques
Responsibilities
- Use critical thinking and creative problem solving skills, leveraging digital marketing expertise to translate high-level business objectives into short and long term solutions around audience segmentation, multi-touch attribution, and journey orchestration
- Produce model-driven solutions in various platforms 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
- Aggregate and analyze disparate datasets, including web analytics, customer, and marketing data to draw conclusions and deliver actionable insight
- Pragmatically decide between developing custom modeling frameworks vs implementing out-of-the-box solutions dependent on business needs
- Contribute to a highly collaborative data science team with brainstorming, peer reviews, and knowledge transfer to increase consistency of deliverables and repeatability of solutions
- Follow developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
- Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Other
- Bachelor's degree demonstrating skills in quantitative and scientific methods such as math, statistics, natural sciences, finance, social sciences
- 7+years experience in digital marketing consulting and analytics, with 3+ years applying machine learning algorithms for clients
- Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
- Collaborate with internal marketing, design and strategy teams to define and execute cross-functional solutions, driving meaningful activation in digital marketing platforms with measurable impact for clients
- Work closely with clients to identify and elevate opportunities for data-driven solutions improving digital maturity in audience targeting and personalization
