Data Scientist

Redolent • San Bruno, CA

13d • Onsite

About The Position

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). This role involves performing hands-on modeling and complex analyses using Python, SQL and/or R, building and enhancing media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes, and running optimization and simulation scenarios to help provide marketing investment and allocation recommendations. The role also requires presenting media mix insights to different levels of senior clients, explaining complex modeling approaches in simple terms and developing compelling narratives that connect modeling results with business problems, and partnering with cross-functional teams to streamline data science solutions. Additionally, it involves integrating disparate data sources and leveraging state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization.

Requirements

• 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.
• A passion for working in a fast-paced agile environment.
• A collaborative mindset and sense of curiosity

Nice To Haves

• PhD degree in Statistics, Economics, Operations Research, or related field
• Experienced 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 of creating Python modules
• Experience with A/B and Multivariate test design and implementation

Responsibilities

• 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
• 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 team to streamline data science solutions
• Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization

What This Job Offers

• Job Type: Full-time
• Career Level: Senior