Cedent
Sr. Data Scientist (Bentonville, AR; Hoboken, NJ; ; San Bruno, CA)
Cedent, Bentonville, Arkansas, United States, 72712
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). 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 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 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 Department: Preferred Vendors This is a contract position If we don\'t have an open position that fits you, feel free to subscribe to our Talent Team email! Enter your name, email address and position(s) you\'re interested in, and whenever we open a new position matching your criteria we\'ll notify you immediately.
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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 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 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 Department: Preferred Vendors This is a contract position If we don\'t have an open position that fits you, feel free to subscribe to our Talent Team email! Enter your name, email address and position(s) you\'re interested in, and whenever we open a new position matching your criteria we\'ll notify you immediately.
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