M1
DSM.GEN.M1
Entry-Level Supervisor
Data Science Management
Entry-Level Supervisor
DSM.GEN.M1
M1M1 — Manager (Team Lead)medium0.70draftglobalv1
Typically manages a small team of data scientists or a single project team as a first-line supervisor.
Level
M1 · M1 — Manager (Team Lead) · 3–6 yrs
Function · Focus
Data Science Management · General
Market pay (median)
—
Pay basis
model pending
Typically manages a small team of data scientists or a single project team as a first-line supervisor.
Summary
Typically manages a small team of data scientists or a single project team as a first-line supervisor. Focuses on coordinating the team’s daily analytical activities and ensuring task completion according to plan.
Level — M1 — Manager (Team Lead)
Front-line people manager of a single team; owns delivery, coaching, and execution.
- Scope
- A single team
- Autonomy
- Manages within established goals
- Complexity
- Day-to-day delivery and people issues
- Impact
- Team output and health
- Decision rights
- Owns team execution, hiring input, performance
- Leadership
- Direct people management of one team
- Typical experience
- 3–6 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
M2
DSM.GEN.M2
Data Science Manager
M3
DSM.GEN.M3
Senior Data Science Manager
M4
DSM.GEN.M4
Data Science Director
M6
DSM.GEN.M6
Senior Staff Executive
M1
AIM.GEN.M1
Manager I
Componentsshow ▾
Responsibilities10
- Assigning work, reviewing output for quality, and coaching junior staff on techniques.commonlevel
- Providing input on resources and assisting in hiring.commonlevel
- Coordinating daily analytical activities.commonlevel
- Ensuring task completion according to plan.commonlevel
- Facilitating team meetings and discussions.commonlevel
- Monitoring project progress and reporting to senior management.commonlevel
- Supporting the development of team members.commonlevel
- Implementing best practices in data analysis.commonlevel
- Ensuring adherence to project timelines.commonlevel
- Managing stakeholder expectations.commonlevel
Tasks3
- Coordinate team activities and ensure alignment with project goals.commonlevel
- Review and approve analytical outputs.commonlevel
- Facilitate team discussions and problem-solving sessions.commonlevel
Skills8
- Team coordinationcommonlevel
- Project managementcommonlevel
- Data analysiscommonlevel
- Stakeholder communicationcommonlevel
- Time managementcommonlevel
- Coaching and mentoringcommonlevel
- Resource planningcommonlevel
- Quality assurancecommonlevel
Knowledge8
- Data science methodologiescommonlevel
- Project management principlescommonlevel
- Team dynamicscommonlevel
- Analytical techniquescommonlevel
- Resource managementcommonlevel
- Quality controlcommonlevel
- Organizational goalscommonlevel
- Best practices in data analysiscommonlevel
competency8
- Leadership & Team Buildingcommonlevel
- Project Management & Executioncommonlevel
- Communicationcommonlevel
- Problem Solvingcommonlevel
- Time managementcommonlevel
- Analytical thinkingcommonlevel
- Coachingcommonlevel
- Resource Allocationcommonlevel
qualification4
- 5+ years of industry experiencecommonlevel
- Bachelor’s degree in a quantitative fieldcommonlevel
- Advanced degree (Master’s or Ph.D.) preferredcommonlevel
- Experience in team leadershipcommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Manager, Data Science Management | common | medium0.66 | — |
| Data Science Management Manager | common | medium0.60 | — |
| Manager, Data Science Manager | common | medium0.66 | — |
| Data Science Manager Manager | common | medium0.60 | — |
| Entry-Level Supervisor | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-2051.00title=Data Scientistssource=corpusreviewStatus=approved