Leads complex modelling projects, mentors data scientists and shapes ML strategy.
Entry
Senior
Coding
High
Key skills
Common progression
- Data Scientist
- Senior Data Scientist
- AI Engineer
- Senior AI Engineer
Career overview
The Senior Data Scientist owns the hardest modelling problems: advanced models, causal inference, experimentation design and cross-team ML strategy. They mentor juniors and influence product and business decisions. The role leads to AI Engineer, AI Solutions Architect or Head of Data positions.
Main responsibilities
- Build and train machine learning models
- Train, fine-tune and evaluate models
- Build and serve ML features
- Prepare and curate training datasets
- Create data visualisations and stories
- Keep technical documentation up to date
- Prepare and execute change requests in production
- Analyse application logs to identify root causes
- Mentor junior team members and review their work
- Coordinate the technical work of the team
Technical skills
Technologies
Education level
Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.
High School / Bac
Less common
Bac+2 (2-year degree)
Less common
Bac+3 (Bachelor)
Less common
Bac+5 (Master / Engineering)
Common entry point
Experience & coding level
Experience level
Coding level
Useful certifications
Certifications are never mandatory. They are one way among others to prove a skill.
- Google Professional Data Scientist
- AWS Machine Learning Specialty
- Microsoft DP-100 Data Scientist
Where can this career take you?
Multiple paths are possible. Click a role to open its profile.
Direct progression
Possible branches
Where can you go next?
Realistic next career moves, with compatibility and a transition roadmap for each.
Overlap: 24% · Difficulty: Easy
Skills to learn: AI / LLM integration, API design, Prompt engineering
View roadmapOverlap: 0% · Difficulty: Hard
Skills to learn: AI solution architecture, ML & LLM landscape, Cloud AI platforms
View roadmapWhere can you go from here?
A typical progression built from real career relationships. Click any role to open its profile.
- Data Scientist
- Senior Data Scientist
- AI Engineer
- Senior AI Engineer
Soft skills
- Leadership
- Analytical thinking
- Clear communication
- Mentoring
- Strategic thinking
- Sense of ownership
Common previous careers
Roles that frequently lead into this career.
Overlap: 61% · Difficulty: Easy
Skills to learn: Causal inference, Mentoring, Model deployment
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Keep moving: compare roles, follow a roadmap, read a guide or prepare for an interview.
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A documented transition from this role to the next.
Senior Data ScientistAI Engineer
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