Sr. Data Scientist

Sr. Data Scientist (Bentonville, AR; Hoboken, NJ; ...)

We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc).

• Perform hands‑on modeling and complex analyses using Python, SQL and/or R.
• Build and enhance media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes.
• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to marketing leadership and CMO.
• Present media mix insights to different levels of senior clients.
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.
• Partner with cross‑functional teams to streamline data science solutions.
• Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization.

• Master’s degree in statistics, economics, operations research, engineering, or related field.
• 6+ years of industry experience in data science, measurement, marketing strategy & analytics.
• Strong communication skills to “tell a story” that provides insight into the business.
• Proficient coding skills (SQL/Python/R) and database knowledge.
• Extensive experience with predictive modeling algorithms.
• Strong project management skills, including managing technical resources and multiple priorities & milestones.
• Passion for working in a fast‑paced agile environment.
• Collaborative mindset and sense of curiosity.

• PhD degree in Statistics, Economics, Operations Research, or related field.
• Experience in building market mix and multi‑touch attribution models.
• Experience with advertising, measurement, and/or digital marketing analytics.
• Experience with advertising technology platforms (Ad servers, DSPs, DMPs, etc.).
• Advanced programming skills with experience creating Python modules.
• Experience with A/B and Multivariate test design and implementation.