Data Scientist

Candidates will be disqualified if they do not meet all of the following requirements. Please read carefully before applying: • Employment Type: W2 contract only. No C2C (Corp-to-Corp) candidates. Referral fees will not be accepted. • Remote • Can work on Eastern Time zone • 5 years of applied work experience in Data Science. • Hands on experience analyzing and mining large datasets • Experience in SQL and Python • Hands on experience with advanced statistics technics, including but not limtied to: predictive modeling, multi-regression, decision tress, and cluster analysis. Job Description: • Build predictive models to create audience segments • Perform advanced analytics functions (e.g. XGBoost, SVM, Random Forest, Cluster and/or Factor Analysis, etc.) to create insights and recommendations that in turn provide meaningful results for our business leaders • Develop a comprehensive knowledge of the business, and utilize it to derive exacting data science project requirements from general business problem discussions • Leverage coding and programming skills to build templates • Design and code data products that implement the full scope of ingesting and updating data, building and refreshing models, scoring using those models, and then serving results on an ad-hoc and on-demand basis • Collaborate with the engineering team to automate models in production • Provide ad-hoc analyses, troubleshooting, and deep dives as needed. • Leverage data science to identify patterns as part of long term strategic assessments and recommendations Requirements: • Minimum 5 years of applied work experience in Data Science. Hands on experience analyzing and mining large datasets. Desired Characteristics Desired Characteristics • Strong applied experience in SQL and Python. • Hands on experience with advanced statistics technics, including but not limtied to: predictive modeling, multi-regression, decision tress, and cluster analysis. • Demonstrated ability to thrive in a fast paced, high throughput environment. Previous experience in Media industries is preferred. • Proven ownership abilities. Can deliver results with a sense of accountability • Advanced degree with specialization in statistics, computer science, data science, or other technical quantitative field