Role responsibilities
The Senior Data Scientist will define quota-setting strategies and partner cross-functionally to apply machine learning methods to incentive design. They will also educate stakeholders on quota methodology and ensure alignment with business objectives.
Requirements
Candidates must have a Doctorate, Master's, or Bachelor's degree in a relevant field along with significant data science experience. Preferred qualifications include extensive experience with cloud data platforms and machine learning algorithms.
Key skills
Data Science, Machine Learning, Predictive Modeling, Statistical Techniques, Data Engineering, Cloud Platforms, SQL, Python, PowerBI, AI, NLP, Big Data, Azure, Data Analysis, Data Visualization, Business Acumen
Keywords
Data Science, Machine Learning, Predictive Modeling, Statistical Techniques, Data Engineering, Cloud Platforms, SQL, Python, PowerBI, AI, NLP, Big Data, Azure, Data Analysis, Data Visualization, Business Acumen, Incentive Compensation, Quota Models, Telemetry, Automation, Governance, Compliance, Data Pipelines, Statistical Analysis, Scenario Modeling, Communication, Stakeholder Engagement, Continuous Improvement, Operational Models, Data Integrity