Sr. Engagement Manager - Sports & Entertainment Analytics

Job Title: Sr. Engagement Manager Sports & Entertainment Analytics Location: NYC preferred, but open to remote with travel Job Description: Responsibilities Oversee delivery of multiple initiatives / projects in the Sports & Entertainment industry Own the problem solution, structure and delivery of the solution : collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytics methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business objectives Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models Ensure insights from conclusions of analysis that integrate with initial hypothesis and business objective. Enable highly technical information into concise is communicated in understandable terms for presentations Provide oversight to find patterns in the data using advanced analytical tools and techniques Communicate analyses by preparing presentations for and participating in C-level clients Qualifications Masters or Bachelor's degree in math, statistics, economics, computer engineering, business administration or related analytics field from top-tier universities with strong record of achievement or additional relevant experience 11+ years experience with solid analytics / data science skills and an entrepreneurial, hands-on approach Extremely strong in problem solving - case based solution approach; Ability to leverage data & analytics to address business problems Experience in Data science techniques such as regression / decision trees / gradient boosting Experience in Python and using Python libraries & SQL (Preferable) or SAS / R Experience in data wrangling / feature engineering / Data pipelines Strong communication skills to interpret data into insights succinctly and clearly for executive audience Domain/business expertise of Sports & Entertainment Preferable Experience in ETL, Data Management & Data Engineering Experience in designing and developing BI solutions using - Tableau / Power BI / Qlik / Looker Experience in Digital Analytics / Personalization Experience in Optimization algorithms / libraries such as Convex / Linear Programming / Particle Swarm, Gurobi etc.

Job Title: Sr. Engagement Manager Sports & Entertainment Analytics Location: NYC preferred, but open to remote with travel Job Description: Responsibilities Oversee delivery of multiple initiatives / projects in the Sports & Entertainment industry Own the problem solution, structure and delivery of the solution : collaborate with client stakeholders to understand and frame business requests, determine how best to leverage machine learning and advanced analytics methods (Ensemble models, Decision trees and Neural networks; Operations research; Statistical modeling such as multivariate techniques) to support business objectives Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models Ensure insights from conclusions of analysis that integrate with initial hypothesis and business objective. Enable highly technical information into concise is communicated in understandable terms for presentations Provide oversight to find patterns in the data using advanced analytical tools and techniques Communicate analyses by preparing presentations for and participating in C-level clients Qualifications Masters or Bachelor's degree in math, statistics, economics, computer engineering, business administration or related analytics field from top-tier universities with strong record of achievement or additional relevant experience 11+ years experience with solid analytics / data science skills and an entrepreneurial, hands-on approach Extremely strong in problem solving - case based solution approach; Ability to leverage data & analytics to address business problems Experience in Data science techniques such as regression / decision trees / gradient boosting Experience in Python and using Python libraries & SQL (Preferable) or SAS / R Experience in data wrangling / feature engineering / Data pipelines Strong communication skills to interpret data into insights succinctly and clearly for executive audience Domain/business expertise of Sports & Entertainment Preferable Experience in ETL, Data Management & Data Engineering Experience in designing and developing BI solutions using - Tableau / Power BI / Qlik / Looker Experience in Digital Analytics / Personalization Experience in Optimization algorithms / libraries such as Convex / Linear Programming / Particle Swarm, Gurobi etc.