Technology · Level D3

Senior Data Scientist

Owns problem definition and data-science strategy for an area, and productionises the models that matter.

Typical total compensation (US)
$280,000median
Range $250,000$315,000 · base $185,000 · bonus $25,000 · equity $70,000

Indicative, sourced ranges — not a guarantee. Levels.fyi Data Scientist senior band; blended national; BLS 15-2051 May 2025 p75 $158,880 as floor

Career Score

63/100 · Strong

Indicative role rating — same inputs give the same score. It rates the role, not you, and never predicts an outcome.

Salary growth
8

Near the top of its pay band; growth comes from a lateral move, not this ladder.

Demand & security
100

Hiring demand is high.

AI resistance
100

Owns problem definition and ML strategy. These tasks are automating — move up the scope ladder.

Entry access
13

High barrier — difficulty, study load, or competition.

Progression
100

Long-term headroom above is high.

Work–life
50

Work–life sustainability is moderate.

At a glance

Difficulty
High
Hiring demand
High
Competition
Medium
AI task-risk
Low

AI & this role: Owns problem definition and ML strategy. The move is to climb the scope ladder, not to fear the tool.

What differentiates you at this level

  • leadershipOwn problem framing and DS strategy
  • systemsProductionising models

Credentials that help

Credentials help entry and specialisation; they don't gate senior or leadership roles — scope does.

  • Applied ML/AI course (DeepLearning.AI, fast.ai, Coursera ML) · Free (fast.ai) to ~$49/mo Coursera specialisations
  • Master's in Data Science / Statistics / CS · $20k-$60k+; online options (e.g. OMSCS) far cheaper (~$7k)
Live openings for this role

See current US Senior Data Scientist listings mapped to your level, in your metro.

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FAQ

How much does a Senior Data Scientist earn?

Typical US total compensation is $250,000–$315,000 (median $280,000), indicative and metro-dependent — see the pay breakdown.

Is a Senior Data Scientist at risk from AI?

Owns problem definition and ML strategy. The move is up the scope ladder, not away from AI.

What's the next step from Senior Data Scientist?

Progression is by evidenced scope and impact at level.

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