CEDENT
Sr. Data Scientist
CEDENT, Hoboken, New Jersey, us, 07030
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
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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
#J-18808-Ljbffr