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Data Science Manager Role
2 months ago
Job Summary:
The Data Science Sr. Manager is a key leadership position responsible for leading a team of data scientists, ensuring their efforts drive business profitability, increased efficiencies, and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business.
Key Responsibilities:
- People Management & Team Leadership: Provide leadership, mentorship, and coaching to direct reports, evaluate performance, execution, and contribution. Support the Data Science Director in establishing a clear vision for the team and influencing reach with business partners.
- Program Management: Prioritize and assign projects, manage programs to ensure consistency of execution, balance of resources, and quality solutions. Collaborate with program managers and business partners to align on objectives and expectations.
- Strategy & Business Development: Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for the team's skills. Ensure alignment with IT support model, collaboration, tools, and governance to enable data scientists to be most effective in executing their roles.
- 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.
Requirements:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Demonstrated proficiency in predictive modeling, data mining, and data analysis.
- Proficient managing and growing team members in a professional setting.
- Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting.
- Demonstrated experience with translating high-level strategy to tactical execution.
Preferred Qualifications:
- 11+ years of experience in business intelligence and analytics.
- Previous people or project team management experience.
- Demonstrated 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.
Competencies:
- 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.