Sr. Data Scientist II

Bachelor’s degree and 8+ years of experience (or 10+ years of experience)
Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
Strong programming skills in Python or R
Proficient in SQL and skilled in visualization tools (ex. Tableau)
Strong track record of forming effective cross-functional partnerships
Experience using data to meaningfully impact Sales & Customer Success strategy execution
Experience communicating analysis clearly to others
Ability to research and learn new technologies, tools, and methodologies
Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
As a senior member of the data science team help mentor and help grow members of the team

Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention
Drive the full analytics lifecycle from understanding the business objective, analyzing the data to developing automated reporting and visualizations
Collaborate with cross-functional teams to integrate data science solutions into business processes
Effectively present analysis to both technical and non-technical audiences and give data-based recommendations to encourage data-driven decisions
Drive a data culture within the Go To Market teams

No preferred qualifications provided.