Lead Data Scientist

Bounteous

1d•$157,000 - $165,000•Remote

About The Position

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for todayâs complex challenges and tomorrowâs opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. Bounteous is a leading digital innovation partner for the worldâs most ambitious brands. Our organization creates transformative digital experiences through services that include strategy, experience design, technology, analytics and insight, and marketing. We are looking for an experienced Data Scientist with a background in marketing analytics, ideally with CPG or retail industry experience. This role will create recommendations, personalization and segmentation for marketing purposes, and solve other interesting challenges within data science applications in marketing channels and campaigns. 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. This candidate would have the ability to develop various types of models from ideation to deployment while maintaining a focus on activation and client goals. The Data Scientist will collaborate closely with a Data Strategy Consultant on working with clients to explore business objectives for analysis and model creation. This role will be focused on partnering with a client serving CPG and Retail brands to identify insights to optimize various marketing strategies. This role will have access to large amounts of high quality consumer data from top companies in the CPG and Retail space.

Requirements

Bachelor's degree demonstrating skills in quantitative and scientific methods such as math, statistics, natural sciences, finance, social sciences; advanced degrees a plus; additional education in data science-specific fields, certifications and degrees a plus
7+years experience in digital marketing consulting and analytics, with 3+ years applying machine learning algorithms for clients
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.

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
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.
Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly
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
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information