Redolent is Hiring a Data Scientist - Marketing/Advertising Near San Bruno, CA
One of our direct client is urgently looking for a Data Scientist @ San Bruno, CA TITLE: Data Scientist - Marketing/Advertising LOCATION: San Bruno, CA Duration: 6 to 12 Months Client inputs
Marketing Mix model or media experience
Strong Python programming
Good statistical background
PhD degree preferred ( not must )
Past experience with Media Analytics company is desired
A/B testing a plus
Description: 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) 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 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 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 Minimum Qualifications • 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. • 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. • Advanced programming skills with experience of creating Python modules • Experience with A/B and Multivariate test design and implementation