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About
Sovrn is built on a set of core values:
Candid ,
Customer Empathy ,
Learning ,
Scrappy , and
Second Order Thinking .
About the Role The
Senior AI/ML Data Scientist
at Sovrn is a strategic technical leader who drives high‑impact data initiatives across the organization. This role requires a unique blend of strategic vision and tactical execution. You will solve ambiguous problems to deliver measurable business value and influence the future of data science in AdTech.
What you’ll be doing:
Operate at the frontier of applied AI as a hands‑on practitioner—exploring, prototyping, evaluating, and deploying cutting‑edge Agentic AI technologies.
Design, implement, and deploy advanced predictive models, algorithms, and experiments that drive core business outcomes, optimizing ad performance, user engagement, and monetization strategies.
Analyze large‑scale datasets to identify patterns, trends, and optimization opportunities, while maintaining and improving data pipelines and experimentation frameworks.
Define and evangelize best practices in modeling, testing, measurement, and data governance, ensuring scientific rigor while balancing practical business constraints and timelines.
Collaborate cross‑functionally to identify high‑leverage AI/ML opportunities, translate them into actionable roadmaps, and deliver measurable outcomes.
Mentor other data scientists through code review, experiment design, and technical feedback, modeling a culture of continuous learning in a production‑focused environment.
Translate complex data problems into strategic decisions through compelling storytelling and clear communication of findings and recommendations to both technical and non‑technical stakeholders.
A successful candidate will have:
Proven ability to deploy autonomous agents to production, optimizing inference performance, managing latency/cost tradeoffs, and ensuring robust model evaluation.
Demonstrated prompt‑engineering discipline by systematically evaluating prompts across model families using quantitative evaluation.
Active use of AI tools in daily technical work—integrating coding assistants, orchestration frameworks, and search‑augmented workflows.
Experience in data science and applied machine learning with a strong record of delivering business impact.
Deep technical proficiency across classical ML, reinforcement learning, and deep learning, with a strong foundation in statistical modeling, A/B testing, and causal inference.
Proficiency with Python, SQL, cloud‑based data ecosystems, modern AI/ML frameworks (Pandas, Scikit‑Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), distributed computing (Spark, PySpark), and Databricks on AWS.
Strong understanding of ad tech ecosystems (RTB, DSP/SSP workflows, auctions, and yield optimization) is a big plus.
Ability to influence across technical and non‑technical audiences, lead cross‑functional initiatives, and work in a collaborative, agile environment (Scrum and Kanban).
A strategic mindset with strong product intuition and experience working at scale.
Location This position is based in our
Boulder, Colorado
office. For exceptional candidates we would consider remote locations. Applicants must be able to commute to our Boulder location.
Compensation and Benefits The base salary for this position in Boulder, Colorado is
$165,000 to $195,000 annually . The total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s experience, skills, knowledge, and location.
Sovrn offers a full slate of 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 with match, and a paid parental leave program.
Equal Opportunity Employer Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process.
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Languages
- English
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