About The Position

The Data Science Director is responsible for collaborating across the enterprise to plan for and achieve goals associated to data science for their specific support business area. This role guides others in execution and development while supporting enterprise goals, ensuring partner satisfaction, and driving significant business results. As a Director of Data Science, you will work closely with functional and technical leaders to leverage the methodologies and techniques of data science as a competitive advantage. This senior leadership role is expected to collaborate with other leaders across the organization to develop strategies and effectively manage talent. As a Director of Data Science, you will be responsible for advancing data analytics, strategy and planning while growing and developing a talented and skilled data science team. In addition, the Director of Data Science will ensure that a standard operating and costing model is used to determine return on investment and appropriate funding.

Requirements

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • 10+ years of work experience
  • Bachelor's degree program or equivalent degree in a field of study related to the job.

Nice To Haves

  • 11+ years of experience in business intelligence and analytics
  • Previous people or project team management experience
  • Expertise in predictive modeling, data mining and data analysis
  • Demonstrated mastery running queries against data (preferably with Google BigQuery or SQL)
  • Proficient with data visualization software (preferably Tableau)
  • Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Proficient in predictive modeling, data mining and data analysis
  • Proficient in communicating, building influence, and developing relationships with functional and technical leaders, with high-level vendor partners, and across all levels in the organization
  • Proficient in selecting and leading strategic relationships or acting as the primary point of contact for strategic partnerships
  • Proficient in managing and developing direct reports with their own span of control
  • No additional education
  • No additional years of experience
  • No leadership experience

Responsibilities

  • Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution
  • Establish a clear vision for the team and influence reach with business partners
  • Attract, retain and develop top talent to build an effective and high performing teams
  • Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress
  • Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team
  • Foster collaboration and alignment between different data science roles to develop a supportive and engaged team
  • Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach
  • Drive team's results and celebrates accomplishments
  • Collaborate with business leaders to align on objectives and expectations
  • Serve as escalation point for any issues or difficulties with specific projects or initiatives
  • Champion data science capabilities and new skills to continually identify ways to impact the business
  • Define effective metrics to understand the high level performance against business goals
  • Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills
  • Ensure a successful operating model and cost structure for Data Science is developed and leveraged across the enterprise to standardize ROI calculations and project/team funding
  • Effectively develop trust and collaboration with internal customers and cross-functional teams
  • Support data science research and innovation efforts that can serve as competitive advantage for the enterprise
  • Develop an integrated data science vision and end-to-end strategy
  • Drive adoption of leading-edge data science techniques and methods, both predictive and prescriptive
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