Lead Data Scientist

Key Skills

Microsoft-Excel, Java Programming, Python Programming, SQL, Natural Language Processing (NLP), SPARK Programming, Neural Networks, Powerpoint, Random forests

Job Description

The Research Business Analytics (RBA) team powers fact-based decision making by providing insights and analytic tools to continuously improve our business – operationally and strategically.

We are growing our team, and we are looking for a Lead Data Scientist to help us evolve to the next level. This highly visible position involves applying advanced analytic techniques to discover insights, make predictions, and generate recommendations to propel mission critical business priorities. The position provides ample opportunity for game-changing technical thought leadership and expertise that will be recognized and rewarded.

What you’ll do:

• Execute large scale, high impact data modeling projects with responsibility for developing, validating, socializing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value.
• As needed, provide ad hoc modeling and analytical insights to inform strategic and operational initiatives.
• Conduct all phases of the analytics process, including but not limited to: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, presentation of results and insights, model implementation, model documentation.
• Navigate the Gartner ecosystem/business-model and its intersection with technology, data, analytics, and data science.
• Partner, interact, communicate regularly with other Data Scientists, BI Analysts, Project Managers, IT personnel, Subject-Matter-Experts, and Senior management in the course of proposing, developing, and implementing analytics/models.
• Convert “tops-down” business initiative requirements into actionable data analytics projects as well as conceive and propose “bottoms-up” analytics ideas/programs.

What you will need:

• Master’s Degree and at least 6 years of data modeling experience in a business environment, or Bachelor’s Degree and at least 8 years of related experience; degrees with a concentration in statistics, data science, operational research, computer science or related field preferred.
• Bachelor’s Degree required. Master’s Degree preferred. Degrees with a concentration in statistics, data science, operational research, computer science or related field preferred.
• In-depth knowledge of statistical principles and their application in modeling and data analysis.
• Experience developing and applying descriptive, predictive, prescriptive models.
• In depth NLP knowledge and application experience.
• Proficiency in Python, SQL, Spark. Basic skills in PBI, Excel, Power Point.
• Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction.
• Experience with churn analysis, profiling, recommendation systems.
• Ability to work in a fast-paced environment and deliver against milestones.
• People management experience preferred