Job Details

TITLE: Data Scientist / Analyst (Marketing Mix Modelling)
LOCATION: San Bruno, CA or Hoboken, NJ, Bentonville, AR or Chicago, IL
Rate: DOE

MUST SKILLS

• Senior level experience
• Python programming - Expert
• Experience in Marketing Mix Modelling (Media or marketing or advertising experience domain) is a MUST
• Good experience in SQL
• Experience in data science

Responsibilities

• Perform hands-on coding to retrieve and analyze large datasets using Python and SQL
• Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders
• Manage and streamline data extraction processes with great attention to detail
• Assess the potential usefulness, validity, and rigor of new data sources
• Work with cross-functional teams to ensure high quality of the data
• Build hands-on media mix models to connect the impact of marketing tactics with business short-term and long-term outcomes
• Run optimization and simulation scenarios to help provide marketing investment and allocation recommendations to stakeholders
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems

Minimum Qualifications

• Master's degree in statistics, economics, operations research, engineering, or related field
• 4+ years of experience in data science, MMM, measurement, marketing strategy & analytics
• Proficient coding skills (Python/SQL) and relational database knowledge and knowledge of Tableau
• Experience in integrating, structuring, and analyzing large amounts of data from diverse sources
• Extensive experience with predictive modeling algorithms
• Strong project management skills and attention-to-detail documentation skills
• Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to tell a story that provides insight into the business
• You have a passion for working in a fast-paced agile environment
• A collaborative mindset and sense of curiosity

Preferred Qualifications

• 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.