THE OPPORTUNITY
We are looking for a visionary leader for Data Science. The Director of Data Science has overall responsibility for leading data science, machine learning, artificial intelligence and predictive modeling projects within our organization. The Data Science team is tasked with critical projects designed to mitigate risks and/or promote growth for the company. We are looking for an experienced leader with significant Data Science expertise who is motivated to make a significant impact in our organization. This role reports to the Vice President of Data and Analytics.
The ideal candidate will have a proven track record in utilizing data science to drive revenue growth for an organization.
RESPONSIBILITIES
LEADERSHIP AND STRATEGIC DIRECTION
- Own the data science solutions strategy and uncover opportunities to apply data science to our businesses.
STAKEHOLDER ENGAGEMENT AND COLLABORATION
- Engage key stakeholders to understand their business and data needs and translate them into technical specifications to deliver data science, machine learning, and AI solutions that have meaningful business impact.
PROJECT MANAGEMENT AND DELIVERY
- Ensure that the development and deployment of data science models adheres to industry best practices. Design and champion data science and data products methodologies for the entire team. Ensure consistent, on-time delivery of team projects.
TEAM DEVELOPMENT AND MANAGEMENT
- Attract, hire, coach, mentor, retain and develop a top team of data scientists. Promote collaboration, continuous learning, and excellence.
DATA SCIENCE EXPERTISE AND INNOVATION
- Serve as the organization's leading expert in data science, machine learning and artificial intelligence to guide strategy and projects.
EXECUTIVE LEVEL COMMUNICATION
- Effectively communicate complex technical concepts and insights to executive level audiences.
ORGANIZATIONAL IMPACT
- Use data science to reduce costs, drive growth, and identify and mitigate risk for the organization.
BENEFITS WE OFFER
- Full suite of health and wellness benefits (including a $0 deductible Medical Plan)
- Retirement Savings Plan 401(k) with options for both Roth and Traditional Contributions
- Tuition-Free programs for undergraduate and graduate degrees
- Generous Parental Leave Program
- Employee Stock Purchase Plan (ESPP) with opportunity for discounted stock at a 15% discount
HOW YOU CAN FIT (QUALIFICATIONS)
Knowledge, Skills, and Abilities:
- Experience using Statistical and Machine Learning algorithms on business data and solving problems in a commercial environment. Strong understanding of data analysis and modeling, solid background in statistics, computer science and related fields.
- Proven experience leading data science teams and data products teams.
- Expertise in Python, relevant machine learning packages such as scikit-learn.
- Expertise in SQL.
- Experience with AWS SageMaker, Redshift, S3.
- Excellent communication skills
- Excellent team and project management skills
Experience: 8-10 years of experience in Data Science 7+ years of experience of people management including leading other people managers
Education: Bachelor's degree in Statistics, Economics, Mathematics, or Computer Science. Advanced degree in quantitative discipline preferred
Time Type: Full time
Job Type: Regular
Job Family Group: Information Technology
Location Region/State: New York
Compensation Range: Annual Salary: $220,000.00 - $250,000.00
EEO Statement: We are an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of race, religion, color, sex, pregnancy, national origin, marital status, sexual orientation, gender identity or expression, age, non-disqualifying physical or mental disability, or status as a disabled veteran or Vietnam veteran. Those factors shall not influence the determination of qualifications for a job or other opportunity within the company. Further, all personnel actions (such as compensation, tuition aid, benefits, transfers, promotions, and dismissals, company-sponsored training, social and recreational programs) shall be administered without discrimination.