Founding Forward Deployed Data Scientist

Vantara; Deutschland; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading SaaS company in Germany is seeking an experienced Data Scientist to enhance its analytics capabilities. The ideal candidate will have over 4 years of hands-on experience in product-analytics environments, expert-level skills in Python and SQL, and a strong background in data sampling and causal inference techniques. This role offers competitive cash compensation and equity grants for early employees, emphasizing a culture of fairness and collaboration.

Qualifikationen

• 4+ years of hands on data science experience in a high caliber product-analytics teams.
• Advanced skills in Python and SQL, including pandas and NumPy.
• Expertise in data sampling techniques such as stratified sampling and bootstrapping.

Aufgaben

• Build and ship analytics frameworks adopted by product or growth teams.
• Communicate insights clearly for an executive audience.
• Work collaboratively on real-world projects during the interview process.

Kenntnisse

Data science experience

Python

SQL

Data sampling techniques

A/B testing

Causal inference

Clear communication

Self-starter

Jobbeschreibung

You are the kind of person that is interested in founding your own company but have been held back because you don’t yet have the right idea, cofounder or logistics in place. You have considered joining a very early-stage startup but decided that the risk-reward ratio isn’t worth it.

We feel you - we think that early employees are critical to the company’s success and usually aren’t rewarded appropriately. We offer top-of-the-market equity grants and cash compensation in the top 10% of the market. We don’t think this is being generous - we think this is being fair to talented folks that have plenty of great options.

Requirements

• 4+ years of hands on data science experience in a high caliber product-analytics teams, preferably at a B2B SaaS company

• Advanced Python & SQL skills: pandas, NumPy, StatsModels/Scikit-learn, warehouse fluency (BigQuery, Snowflake)

• Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation.

• Independently built and shipped analytics frameworks or tools adopted by product or growth teams

• Deep familiarity with causal inference and measurement techniques: A/B testing, diff-in-diff, propensity scoring, matched markets, statistical power analysis

• Practical experience with LLMs: prompt-engineering, embeddings, evaluation of hallucination risk

• Clear communicator: author executive level insights readouts for product, design, and engineering audiences

• Self-starter who thrives in ambiguity, prioritizes ruthlessly, and delivers projects end-to-end with minimal guidance

• Learns new tools and methods rapidly; consistently ships self-initiated improvements that cut analysis cycle-time

Process

We will have 2 screening interviews, one in-person and one remote. These interviews will test real-world problem solving and should need no advance preparation. Finally, we will want to spend at least 2 days (and ideally more) working together on a real-world project. You will be compensated for your time.