Senior Data Scientist – Remote-First, Privacy‑Focused AI

Duck Duck Go; United States; Remote; USD 152,000 - 205,000; Full time

Benefits offered by this job

Equity

Job summary

DuckDuckGo is seeking a Senior Data Scientist to drive product and business impact through advanced data science, NLP, and Bayesian analysis. You will own experiments, model deployment, and ML pipelines across search, AI, and revenue optimization in a remote-first, US-focused environment.

We value ownership and rigorous, privacy-conscious analytics. Expect collaboration with product teams, leadership on complex projects, and equity in compensation as part of a fully remote team.

Qualifications

• 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production.
• You can do 2+ of the following: Deploy and iterate ML in production, Develop and deploy NLP solutions, Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development, Conduct Bayesian marketing campaign analysis.

Responsibilities

• Deploy and iterate on ML in production environments.
• Develop and deploy NLP solutions.
• Apply knowledge of LLMs including fine-tuning and AI-assisted development.
• Conduct marketing campaign analysis using Bayesian methods.
• Write production-grade Python code and optimize SQL queries.
• Collaborate with product teams to drive data-informed decisions.

Skills

ML in production

NLP solutions

LLMs

Bayesian analysis

Python

SQL

BigQuery

Tableau/PowerBI

Tools

BigQuery

ClickHouse

Redshift

Druid

Tableau

PowerBI

Job description

DuckDuckGo is seeking a Senior Data Scientist to drive product and business impact through advanced data science, NLP, and Bayesian analysis. You will own experiments, model deployment, and ML pipelines across search, AI, and revenue optimization in a remote-first, US-focused environment.

We value ownership and rigorous, privacy-conscious analytics. Expect collaboration with product teams, leadership on complex projects, and equity in compensation as part of a fully remote team.