P3
DSAISE.GEN.P3
Proficient

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.
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