FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and developing high-performing data science teams, with a focus on delivering advanced analytics and AI solutions. Proficient in portfolio management, stakeholder engagement, and implementing MLOps practices to drive measurable business value.
Highest-signal resume keywords
People Management ExperienceData Science Solution LifecyclesMLOps PracticesPortfolio ManagementRisk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceAnalyticsAI SolutionsSoftware EngineeringModel GovernanceProduct DeliveryResource PlanningValue TrackingPerformance ManagementDevelopment Planning
Soft Skills
CoachingCommunication SkillsFacilitationTeam BuildingCommitment to Continuous Learning
Industry Keywords
Cross-Functional InitiativesStakeholder EngagementGovernanceOrganizational BarriersContinuous Improvement
About the role
Key responsibilities & impact- Manage and develop a team of data scientists delivering advanced analytics and data science solutions
- Lead, coach, and develop team members through expectations, feedback, career guidance, and accountability
- Create a safe, inclusive, high-performing environment supporting learning, innovation, challenge, and continuous improvement
- Remove organizational barriers and support workforce planning, hiring, onboarding, recognition, succession, and capability development
- Partner with business and functional leaders to identify, frame, and prioritize data science opportunities
- Assess how data science and emerging AI capabilities can create responsible, sustainable value
- Represent the team to technical and non-technical audiences, communicating capabilities, capacity, priorities, trade-offs, risks, and contributions
- Own and prioritize the team portfolio across enterprise needs, value, capacity, dependencies, development needs, and delivery risk
- Establish intake, planning, governance, status reporting, risk management, and executive communication practices
- Ensure initiatives have objectives, ownership, stakeholder engagement, measurable outcomes, delivery plans, and decision points
- Lead portfolio reviews and adjust priorities or resources as needs and delivery conditions change
- Partner with senior practitioners and adjacent technology teams to set direction and address technical risk
- Set expectations for documentation, governance, model validation, production readiness, monitoring, support, and retirement
- Ensure the team has standards, tools, expertise, and partnerships for modern data science, software engineering, and MLOps practices
- Use measures and stakeholder feedback to improve delivery, adoption, team effectiveness, operating discipline, and business value
Requirements
What you’ll need- Minimum of a bachelor’s degree, relevant military experience at the E5 rank/Petty Officer 2nd Class or higher, or 12 years of experience in lieu of a bachelor’s degree
- Minimum of three years of people management experience
- Direct responsibility for coaching, performance management, development planning, and team outcomes
- Experience leading complex, cross-functional initiatives involving business and technology stakeholders
- Ability to work legally in the United States
- No visa sponsorship/support is available, including for any U.S. permanent residency process
- Degree in IT, Computer Science, Analytics, Engineering, Business, Chemistry, or a related discipline preferred
- Experience managing high-skill technical, analytical, digital, or scientific teams preferred
- Working knowledge of data science solution lifecycles, software engineering, MLOps, model governance, product delivery, and associated risks
- Experience managing portfolios of data science, analytics, AI, or digital initiatives preferred
- Experience with prioritization, governance, resource planning, risk management, and value tracking preferred
- Ability to build effective teams and represent technical capabilities to business leaders
- Strong consulting, facilitation, and communication skills
- Commitment to continuous learning, talent development, inclusion, and improvement
- No relocation assistance is offered
Benefits
Comp & perks- Equitable and market-competitive base pay and bonus opportunity
- Benefits and programs supporting physical, mental, financial, and social well-being
- Competitive retirement program, including company-provided benefits, savings opportunities, financial planning, and educational resources
- Employee stock purchase programs (availability varies depending on location)
- Student Debt Retirement Savings Match Program (U.S. only)
- Medical and life insurance packages
- Travel insurance (available in certain countries/locations)
- Training and mentoring opportunities
- Work experiences, community involvement, and team building
- Role-based workplace flexibility
- Competitive yearly vacation allowance
- Paid time off for new parents, including adoptive and foster parents
- Paid time off to care for sick or injured family members
- Paid time off to support volunteering and Employee Resource Group participation
- Wellbeing Portal
- On-site fitness facilities (availability varies depending on location)
- Employee discounts for online shopping, cinema tickets, gym memberships, and more
- Transportation allowance (availability varies depending on location)
- Meal subsidies/vouchers (availability varies depending on location)
- Carbon-neutral transportation incentives, such as bike to work (availability varies depending on location)
