Senior/Lead Data Scientist

Key Skills

Data Mining, Data science techniques, Data Transformation, Data Visualization, Database, Design, Employee life cycle, Machine learning techniques, Microsoft-Excel, Python Programming, R Programming, SQL, Tableau

Job Description

Build, implement and maintain predictive models through their full lifecycle.

• Identify patterns & trends in data, and provides insights to enhance business decision making.
• Identify challenges and opportunities from client strategy discussions and taking ownership of solution.
• Work with team to develop and maintain complex analytic frameworks that may include 50+ predictive models.
• Set up and monitor monthly model recalibration process.
• Generate complex ad-hoc analyses combining disparate concepts or creating new approaches.
• Design and create new analytic procedures & automation.
• Review corporate model scoring QC.
• Review corporate data transformation QC.

Education and Experience:

• 5 years of machine learning and analytics experience
• 5 years of quantitative marketing experience
• MS/PHD in a quantitative discipline or BS in a quantitative discipline with commensurate experience
• Experience with R, Python, & SQL
• Ability to present advanced analytical methodology and results to non-technical audiences.
• Analytically minded, specifically comfortable with data, response metrics and trends
• Excellent written and verbal communication skills
• Ability to analyze problems and produce a viable solution
• Ability to coordinate across different internal groups
• Experience with Tableau (or other data visualization platform)
• Experience with Excel
• Financial or insurance industry experience strongly preferred
• 5-7 years of Database Marketing and Data Mining experience preferred