Senior Data Scientist

Free resume; Deutschland; Remote; EUR 135,000 - 183,000; Full time

Benefits offered by this job

Stock options

Paid parental leave

Office setup allowance

Co-working allowances

Job summary

DuckDuckGo is seeking a senior Data Scientist to drive product and business impact across our search, AI, and revenue optimization initiatives. You will lead statistical modeling, experiment design, Bayesian marketing analysis, and classifier development with a focus on privacy and sparse data.

You should have 7+ years in data science, production ML experience, and strong Python and SQL skills, plus NLP/LLM capabilities. Collaboration with product teams is essential to succeed.

Qualifications

• 7+ years of experience in Data Science with leadership of complex projects.
• Deploy and iterate on ML in production environments.
• Develop and deploy NLP solutions.
• Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development.
• Write production-grade code in Python or a comparable high-level language.

Responsibilities

• Drive product and business impact through statistical modeling and experiments across our platforms.
• Develop and deploy ML in production environments and NLP/LLM solutions.
• Collaborate with product teams to surface actionable insights in privacy-conscious, sparse-data settings.

Skills

ML in production

NLP deployment

LLMs

Python

SQL & optimization

Experiment design

Collaboration with product teams

Tools

BigQuery

ClickHouse

Redshift

Druid

Tableau

PowerBI

Job description

Job Description

Who We Are

Your Team and Role

Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include:

Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies

Measuring the impact of major marketing campaigns for Duck.ai , translating full-funnel data into actionable decisions

Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably

Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment

Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach

Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.

About You

You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.

You can do 2 or more of the following:

Deploy and iterate on ML in production environments

Develop and deploy NLP solutions

Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development

You write production-grade code in Python or a comparable high-level language.

You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus.

You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data.

You collaborate effectively with product teams and contribute to overall team throughput.

Compensation

$178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.

Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.

Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.

Hiring Process

Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire .

Diversity, Equity, and Inclusion

DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to