Senior Ai/ml Data Scientist

Sovrn

Boulder, Colorado, US
Base: $165,000 to $195,000 annually; bonus/equity:...
On-site (with potential for remote consideration)
Deploy autonomous agents to production
Prompt engineering discipline
Python, sql, cloud-based data ecosystems
Sovrn is seeking a Senior AI/ML Data Scientist to lead high-impact data initiatives within their organization, focusing on applying advanced machine learning techniques to optimize ad performance and user engagement. The ideal candidate will possess strong technical skills, business acumen, and the ability to mentor others, driving strategic decisions through data analysis and storytelling

Job Summary

  • Operate at the frontier of applied AI as a hands-on practitioner — personally exploring, prototyping, evaluating, and deploying cutting-edge Agentic AI technologies to bring new, grounded insight into product, modeling, and optimization decisions.
  • Design, implement, and deploy advanced predictive models, algorithms, and experiments that drive core business outcomes, specifically optimizing ad performance, user engagement, and monetization strategies.
  • Translate complex data problems into strategic decisions through compelling storytelling and clear communication of findings and recommendations to both technical and non-technical stakeholders.

Matching Summary

Match Score: 85

Sovrn is seeking a Senior AI/ML Data Scientist to lead high-impact data initiatives within their organization, focusing on applying advanced machine learning techniques to optimize ad performance and user engagement. The ideal candidate will possess strong technical skills, business acumen, and the ability to mentor others, driving strategic decisions through data analysis and storytelling.

Salary

Base: $165,000 to $195,000 annually; Bonus/Equity: bonus, equity; Benefits: competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program

Skills & Requirements

Must-have

  • Deploy autonomous agents to production
  • Prompt engineering discipline
  • Python, SQL, cloud-based data ecosystems
  • Modern AI/ML frameworks
  • Large-scale datasets and distributed computing

Nice-to-have

  • Ad tech ecosystems understanding
  • Agile environment experience
  • Strategic mindset and product intuition

Key Requirements

  • Proven ability to deploy autonomous agents
  • Systematically evaluating prompts
  • Active use of AI tools in daily work
  • Experience in data science and applied machine learning
  • Deep technical proficiency across ML, RL, DL
  • Proficiency with Python, SQL, cloud ecosystems
  • Experience with large-scale datasets and distributed computing
  • Databricks running on AWS Cloud

Work Rights

Not specified

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