Lead Data Scientist

Information Security Responsibilities

• 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

Role and 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.

Preferred Qualifications

• 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.