Description

Job Details Role- Data Scientist Duration- 9 Months Location- San Bruno, California Required Skills Marketing Mixed Modeling Experience Strong Python and SQL Very nice to have: Experienced in building market mix and multi-touch attribution models Additional Skills Job 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

Role and Responsibilities

• 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