Data Scientist – Ad Intelligence

Similarweb; United States; On-site; USD 34,000 - 53,000; Full time

Benefits offered by this job

5 weeks vacation

Birthday day off

Sick days

Multisport card

MacBook Pro M3

Job summary

Similarweb seeks a Data Scientist for its Ad Intelligence team to develop models that estimate how advertisers spend money and reach audiences across the web. You will own the end-to-end process, from concept to production, choosing approaches that fit the timeline and business needs.

You will design, build, and productionize models, apply modern ML techniques, and collaborate with data analysts to ensure data quality.

Qualifications

• Master's or higher in a quantitative field; strong practical experience acceptable.
• 2–4 years building and deploying ML models or statistical algorithms in production.
• Proficiency with Python and modern ML algorithms.
• Experience with PySpark and Spark-based code.

Responsibilities

• Design, build, and productionize models estimating ad intelligence metrics.
• Encode business logic into features and validation rules for models.
• Collaborate with data analysts to ensure data quality and reliability.
• Document assumptions and limitations behind each model for stakeholders.

Skills

Python

Machine Learning

Statistical methods

PySpark

Databricks

AI coding tools

Big data in cloud

Education

MSc in Computer Science or related field

Tools

Spark

Databricks

Claude / Cursor

Job description

The Role

As a Data Scientist on our Ad Intelligence team, you’ll build the models and algorithms that estimate how advertisers spend money and reach audiences across the web.

This role demands a genuine understanding of the business logic behind our numbers, combined with the technical range to solve problems at any scale: sometimes the right answer is a carefully tuned heuristic shipped in a day, sometimes it’s a full ML pipeline that takes weeks to get right. Whichever approach is the right one, you will own the algorithm end-to-end.

What You’ll Do

• Build a deep understanding of the business logic behind our metrics, and encode it into model assumptions, features, and validation rules.
• Design, build, and sometimes productionize models that estimate ad intelligence metrics.
• Apply modern ML techniques where they earn their complexity; and use simpler heuristics where they don’t.
• Own tasks end-to-end: from exploration and proof of concept through a full research cycle including careful model selection and evaluation. In some cases you will also create the production implementation in collaboration with engineers.
• Closely collaborate with data analysts to uncover and solve data quality issues.
• Document and communicate the assumptions and limitations behind each model, so stakeholders know exactly what the numbers do and don't capture.
• Use modern AI-assisted tooling (Claude, Cursor, and similar) as a core part of your daily workflow to move faster.

The mindset that will help you succeed

• Analytical Thinking: Using analytical and statistical rigor to solve ambiguous problems and translate them into business value.
• Strategic Thinking: Weighing complexity against time available, and picking the modeling approach that best serves the timeline and the business need with respect to future sustainability and maintainability.
• Ownership: Taking a problem from raw data to a validated, production model without needing to be chased.
• Learning Agility: Comfortable picking up new tools, data sources, and techniques quickly, including AI-assisted development workflows.
• Collaboration: Working effectively with others within and across teams.

What You’ll Bring

• MSc in Computer Science, Statistics, Mathematics, or a related quantitative field (preferred); strong practical experience can substitute a degree with knowledge in relevant fields (statistics, machine learning, advanced mathematics).
• 2-4 years of experience building and deploying machine learning models or statistical algorithms in production.
• Strong Python skills, and hands-on experience with modern ML algorithms.
• PySpark experience, or the ability and willingness to learn it quickly (with our support!). Our existing solutions run on Spark, and you’ll need to read, use, and build on that code effectively.
• Experience with big data in a cloud environment is an advantage; we use Databricks daily.
• Comfort using AI coding tools (Claude, Cursor, or similar) as part of your everyday workflow.
• A genuine drive to understand the business logic behind the numbers, not just optimize a metric in isolation.
• Pragmatism: the judgment to know when a simple heuristic beats a complex model, and the discipline to build the complex one when it’s actually needed.

Why you’ll love being a Similarwebber:

• Impact: Work with the most powerful digital intelligence platform in the world, loved by both customers and employees.
• Innovation: We value open dialogue and empower everyone to bring their ideas forward. You'll have the support and resources to take initiative and drive real change
• Our Office: Join us in our modern, newly designed office in the vibrant DOCK IN area (Prague 8). It's built to inspire focus and collaboration, stocked with snacks, drinks, fruits, and plenty of space for socializing.
• Comprehensive Benefits: We offer 5 weeks of vacation, an extra day off during your birthday month, 3 sick days or a multisport card
• Top-tier hardware: We prioritize a great developer experience—you'll work with a MacBook Pro M3, dual monitors, and electric standing desk.
• Team events: At Similarweb, we love community! That’s why we host team-building events, parties, weekly lunches, and happy hours throughout the year.
• Access to Equity programs: Join in the success of Similarweb by becoming a shareholder!
• Grow your career any way you choose:Want to become a VP or switch departments? With Career Week, personalized coaching, and our ongoing learning solutions, you’ll find everything you need to grow your career right here!

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