Data Science Lead Data Scientist / Data Science Lead

What this level means

Expert in field; key problem solver and project leader, authority in multiple areas

Scope

Multiple systems or a technical domain

Autonomy

Sets direction within the domain

Complexity

Novel, high-ambiguity problems; establishes the approach

Impact

Org / multi-team outcomes

Decision rights

Authority over a technical domain

Leadership

Leads cross-team technical initiatives

Typical experience

8–12 yrs

What you'd do

• Overseeing the design and implementation of major data science initiatives
• Setting best practices for the data science team
• Mentoring junior data scientists
• Driving innovation in data science methodologies
• Leading cross-functional data projects
• Ensuring alignment with business objectives
• Evaluating new data technologies and tools
• Contributing to strategic planning
• Lead major data initiatives
• Mentor data science team
• Set data science best practices

Skills, knowledge & tools

• Advanced data modeling
• Project leadership
• Team mentorship
• Strategic planning
• Innovation in data science
• Technical writing
• Cross-functional collaboration
• Advanced analytics
• Advanced data science techniques
• Leadership in data projects
• Strategic data planning
• Innovation methodologies
• Emerging data technologies
• Business strategy alignment
• Technical mentorship
• Data governance
• Deep expertise in several areas of data science
• Ability to innovate new solutions
• Leadership
• Strategic Thinking
• Mentorship
• Technical acumen
• Communication
• Innovation

What good looks like

• High-impact contributions
• Thought leadership
• PhD or equivalent experience in Data Science
• Proven track record in leading data projects

Common titles

Where it sits & what it pays

O*NET / SOC: 15-2051.00 — Data Scientists

Market-pay benchmarks for this family × level are coming — JobFrame anchors pay to the family/level structure rather than the raw title.

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