Data Science Lead

Key Skills

Algorithms, Python Programming, R Programming, SQL Server

Job Description

As the Data Science Lead, you champion data science practices with everyone: multidisciplinary teams, client teams, and anyone else you come across. You’re a rock star in all five sub-disciplines of Marketing Science—tracking and measurement, data visualization, testing and evaluation, data integration, and statistical modeling—but you pretty much wrote the book on at least one of them. Gaining leadership experience through supervising and developing a passionate team of analysts (including their work priorities, timelines, deliverables, and training) is definitely something you’re looking for. And you’re ready to expose your team to all sub-disciplines—because you believe it’s crucial to cultivate their expertise for both team development and client needs.

You will:

• Interpret the role of empirical practices in digital experience design and optimization.
• Deliver complex projects involving multiple stages, components, and contributors in a timely manner.
• Work with Analysts, Data Engineers, Strategists and Creative professionals to identify best use-cases to help drive business objectives aligned to business needs
• Own client-facing data science deliverables from ideation to execution, including and not limited to detailed analysis, modelling, insights extraction along with communicating findings and recommendations to functional teams, senior management and clients
• Demonstrate thought leadership as well as provide technical advice, support and guidance to junior analysts on navigating ML/AI modelling work for client-driven asks
• Facilitate understanding of marketing science across the agency.
• Monitor the day-to-day work of team members to ensure they grow within their roles and the discipline as whole.
• Delegate work and provide opportunities for team members to work individually and collaboratively.

You have:

• Hands-on experience with supervised and unsupervised ML algorithms and other applied AI techniques to derive meaningful and actionable insights from big data.
• Expertise in Python and/or R for data science applications and associated packages
• Strong written and oral communication and presentation skills, which includes communicating complex technical concepts to non-technical audiences.
• Proven team and project management skills, including training and staff development.
• Confidence interacting with clients to suggest innovative ideas and drive organic growth.
• Experience in SQL (or another data query language) to manipulate large and complicated data for custom and ongoing analyses
• Clear understanding of data, data management, data infrastructure, and marketing applications.
• Creative problem-solving skills that help you find new solutions, and a willingness to seek counsel when needed.
• A strong ability to prioritize, ensuring urgent items are handled as they arise.