Position Purpose:

　　The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

　　As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

　　Key Responsibilities:

　　40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments

　　25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts

　　15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management

　　20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged

　　Direct Manager/Direct Reports:

　　This position typically reports to Senior Manager or above

　　This position has Direct Reports & manages programs

　　Travel Requirements:

　　Typically requires overnight travel 5% to 20% of the time.Physical Requirements:

　　Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.Working Conditions:

　　Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.Minimum Qualifications:

　　Must be eighteen years of age or older.

　　Must be legally permitted to work in the United States.

　　Preferred Qualifications:

　　9+ years of experience in business intelligence and analytics

　　Previous people or project team management experience

　　Expertise in predictive modeling, data mining and data analysis

　　Mastery running queries against data (preferably with Google BigQuery or SQL)

　　Proficient with data visualization software (preferably Tableau)

　　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

　　Demonstrated proficiency in predictive modeling, data mining and data analysis

　　Experience managing and growing team members in a professional setting

　　Minimum Education:

　　The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.Preferred Education:

　　No additional educationMinimum Years of Work Experience:

　　8Preferred Years of Work Experience:

　　No additional years of experienceMinimum Leadership Experience:

　　NonePreferred Leadership Experience:

　　NoneCertifications:

　　NoneCompetencies:

　　Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs

　　Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals

　　Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization

　　Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals

　　Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences

　　Develops Talent: Developing people to meet both their career goals and the organization's goals

　　Directs Work: Provides direction, delegating and removing obstacles to get work done

　　Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives

　　Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action

　　Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity

　　Interpersonal Savvy: Relating openly and comfortably with diverse groups of people

　　Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics

　　Persuades: Using compelling arguments to gain the support and commitment of others

　　Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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　　Regular Associate

　　We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.