Senior Data Scientist (m/f/x)

United States Digital Space LLC; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

32 days of paid vacation plus birthday off

Flexible hybrid working scheme

Mental health coaching

Learning budget and training opportunities

Sabbatical after three years

Zusammenfassung

United States Digital Space LLC is seeking a Data Scientist in Berlin to join the Community Data Team, focusing on applied machine learning and data integrity efforts. You will build predictive models and analyze user behaviors to enhance community growth and product development.

The position demands strong Python and SQL skills, along with the ability to engage in complex data analysis. Join us to make a real impact in the shopping experience of millions.

Qualifikationen

• Experience with machine learning libraries and writing complex SQL.
• Ability to analyze web/app event data and build predictive models.
• Experience managing end-to-end data science projects.

Aufgaben

• Build and iterate ML models for churn prediction and sentiment analysis.
• Analyze member behaviors to uncover insights for community growth.
• Transform vague business questions into measurable outcomes.

Kenntnisse

Python

SQL

Machine Learning

Statistical Analysis

Ausbildung

Degree in Data Science or related field

Tools

Pandas

NumPy

Scikit-learn

XGBoost

ClickHouse

Jobbeschreibung

the company is the world's largest community-driven shopping platform, active in 20+ markets. We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.

Our 1,000+ team across 10 countries builds products used every day at global scale, where you'll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading.

About This Role

We are looking for a Data Scientist to join our Community Data Team. At the company, you will be part of a growing applied ML capability — working on real problems that have a direct impact on how millions of users discover and interact with deals every day. You will build and iterate models that go into production — from predicting churn to understanding what makes a deal resonate with a community. We have rich behavioral data, a strong domain, and a clear belief that applied ML is one of the key ways we stay ahead. Beyond model building, you will also dig into complex statistical analyses and define the metrics that help us truly understand our users.

At the company, your role will be instrumental in helping us lead our community intelligence and data integrity efforts. As a key part of our team, you will be directly involved in shaping the intelligence behind the digital destinations our users rely on throughout their shopping journeys. Your work will help us understand our community better, build smarter products, and make sure millions of consumers can make good, fair, and rewarding choices.

Our Benefits

• A culture that values personal and professional development, with internal mobility opportunities.
• A supportive and open-minded team that embraces diverse perspectives and innovative ideas.
• 32 days of paid vacation plus your birthday off, giving you the time you need to recharge.
• A flexible hybrid working scheme to balance work and life.
• Access to a learning budget and internal training to help you grow in your role.
• Mental health coaching to support your well‑being.
• Regular global and local get‑togethers to celebrate successes and build connections.
• The possibility of taking a sabbatical after three years with the company.
• A cloud‑based company setup, providing flexibility and collaboration opportunities no matter where you are.

*These are global benefits that apply to all employees, with additional local perks based on your location.

Responsibilities

In this role, you will:

• Build and iterate ML models for churn prediction, sentiment analysis, member segmentation, and more using Python (Pandas, NumPy, Scikit-learn, XGBoost). You will learn and grow through collaboration and code reviews, with the goal of taking independent ownership of models over time.
• Analyze complex member behaviors—retention cohorts, engagement velocity, and viral loops—to uncover insights that drive community growth.
• Take fuzzy, real‑world business questions, such as “what makes a deal good?”, engage with domain experts, and turn them into something measurable and actionable.
• Master our ClickHouse environment, writing optimized queries that leverage columnar storage to process billions of rows of interaction data.

Your Profile

We’re looking for someone with experience in writing complex SQL, investigating web/app event data, and building predictive models in Python, who is dedicated to creating exceptional user experiences and driving innovation. We hire for aptitude and drive above depth of experience. If you have the right foundation and the right mindset, we want to hear from you.

What We Care About Most

• Problem translation: You can take something vague like “what makes a deal good?” and, with help from the right people, figure out what to actually measure.
• Intellectual honesty: You don’t trust your own results just because they look good. You check anyway. This is something we won’t compromise on.
• Drive and curiosity: You want to get it right. You dig in, try things, and hold yourself to a high standard, not because someone asks you, but because that’s just how you work.

What You Need to Bring

• Solid Python skills and familiarity with core data science libraries (Pandas, NumPy, Scikit-learn). You can actually build, not just describe.
• Sound understanding of ML and statistics fundamentals—core models, train/validation/test splits, overfitting—enough to learn fast under guidance.
• Solid SQL skills—comfortable with CTEs, window functions, and writing efficient queries.
• At least one self‑built, end‑to‑end project on a messy or open‑ended problem where you had to figure out what “good” meant yourself, not follow a tutorial.

Also Valued

• Signals of applied curiosity—Kaggle participation, open‑source contributions, personal projects or research in recommendation systems or LLMs.
• Community domain knowledge: Experience analyzing developer communities, forums, or social platforms.

Additional Information

At the company, we want to ensure that all employees can thrive in an inclusive environment. Our employment opportunities are open to every gender, race, religion, age, sexual orientation, ability, place of origin, or socioeconomic status. We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.