Senior Data Scientist

DuckDuckGo; United States; Remote; USD 160,650 - 196,350; Full time

Benefits offered by this job

Stock options

Company-sponsored health benefits

Paid parental leave

Office setup allowances

Job summary

A leading privacy-focused online company is seeking a Senior Data Scientist to drive product impact through statistical modeling and machine learning. You will collaborate with teams to validate data-driven strategies and solve complex data integrity issues, while owning key pieces of the data pipeline. With 7+ years of experience required, this role offers competitive compensation and emphasizes a focus on privacy and trust in online environments.

Qualifications

• 7+ years of experience in Data Science leading high-complexity projects.
• Experience deploying ML/NLP solutions in production.
• Write production-grade code in Python or a comparable high-level language.
• Advanced SQL and familiarity with columnar databases.
• Comfortable analyzing sparse or privacy-constrained data.

Responsibilities

• Drive product and business impact through statistical modeling.
• Collaborate cross-functionally to validate direction through data.
• Own key pieces of the data pipeline and resolve data integrity issues.

Skills

Statistical modeling

Machine Learning (ML)

Natural Language Processing (NLP)

Python

SQL

Data integrity resolution

Tools

BigQuery

Tableau

PowerBI

Job description

Who We Are

Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!

Your Team and Role

Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, and classifier implementation across our search engine, instant answers, AI, and revenue optimization. You'll collaborate cross-functionally to validate direction through data, build trust in organizational tactics and strategy by running and advising experiments, and become an expert in our core metrics like searches, installs, and revenue.

You'll also own key pieces of the data pipeline, identifying and resolving data integrity issues and implementing derived data features for internal users. 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.

As a Senior Data Scientist, you'll help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.

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 deploy and iterate ML and NLP solutions in production environments, with working 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 identical within professional levels, regardless of geographic location or team. Compensation for each professional level is transparent across the organization.

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 [e-mail] to let us know the nature of your request.

Please note that:

• You’ll be required to attend meetings on camera via video conferencing

• Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.

• While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.

• A successful candidate must pass a background check as a condition of joining the team.

• By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your employment.

Disclosure Statement: Use of AI in Hiring Process

As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.

Key Principles:

• Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes.

• Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.

• Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.

By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at [e-mail]. Thank you for your interest in joining DuckDuckGo!