JobFrame · DSAISE.GEN.P3
Data Science / Artificial Intelligence / Software Engineering · General
P3 · P3 — Mid-Level Professional · Individual contributor
Median pay · United States
$82,468
$64,786 – $104,977 · USD · annual · national base (function pricing in review)
Level position
P3 · 3 of 6 in track
Median pay
$82,468
$64,786–$104,977
Level
P3
P3 · 3 of 6 in track
Super-function
technology
Demand-heat
cool
10.1% growth
Summary
Lead development of independent ML tasks or sub-projects. Analyze complex datasets to improve model performance.
This level — P3 P3 — Mid-Level Professional
Fully competent professional; works independently on standard projects
Who does this work
The data scientist/AI engineer who seeks to leverage advanced technologies to solve complex problems and innovate in high-growth industries.
The problem this role solves
Fierce competition in technology, automotive, robotics, finance, and healthcare sectors demands cutting-edge AI solutions. Feeling overwhelmed by the vast amount of data and the need for innovative problem-solving skills to make impactful decisions. Believing that intelligent systems can not only enhance organizational efficiency but also improve lives and society as a whole.
The transformation
Transforming vast data into actionable insights that drive business innovation and growth. Creating AI solutions that significantly improve operational efficiency or customer experiences. Positioning oneself as a thought leader and expert in the rapidly evolving domains of AI and data science.
What's at risk
Falling behind in the industry due to an inability to adapt to new technologies or methodologies. Missing opportunities to create value from data due to a lack of critical analysis or collaboration. Creating AI models that fail to meet user needs or solve real-world problems, leading to wasted resources.
How the role wins
- 1. Acquire a deep understanding of industry-specific challenges through research and active listening.
- 2. Utilize critical thinking and complex problem-solving skills to design innovative AI models tailored to address these challenges.
- 3. Collaborate with cross-functional teams to ensure alignment of AI strategies with organizational goals.
- 4. Deploy and continually optimize AI solutions based on feedback and performance metrics.
- 5. Stay informed on advancements in AI, computers, and electronics to maintain a competitive edge.
Act on this profile
Guides
The book corpus that grounds this profile, read live from the corpus-library catalog-of-record.
Free
A guided career narrative for this exact profile — pilot clusters first.
Assessments
Compensation
Observed BLS OEWS market pay for every occupation, dated and sourced — the universal job → pay join key.
$258 · $79/mo · $790/yr
Modeled market pay (base + bonus/TCC/equity/TDC) from the combined survey-blend equation, for this Job × Level grid.
$490 · $149/mo · $1,490/yr
Market-anchored grade ladders (wide / standard / tight range designs) built on our modeled market midpoints.
$490
Run a compa-ratio drift audit over your onboarded workforce dataset, priced against the pay model.
$990
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