Staff Data Scientist, Delivery

Rocket Lab; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Join a leading tech company in Berlin as a Staff-level Data Scientist. You will tackle complex machine learning challenges, enhance product search and recommendations, and mentor less experienced team members. This role offers competitive salaries, flexible working conditions, and a chance to make a real impact on millions of users across various countries.

Leistungen

Flexible hybrid work

Competitive salary and stock options

Wellness perks

Career growth opportunities

Qualifikationen

• 5+ years in Data Science and Machine Learning.
• Proficient in Python and libraries such as Pandas, NumPy, scikit-learn, and PyTorch.
• Hands-on experience building end-to-end ML systems.

Aufgaben

• Build complex models for ranking, search, and recommendations.
• Deploy models to production using AWS and internal platforms.
• Collaborate with cross-functional teams.

Kenntnisse

Python

Machine Learning

Data Analysis

Deep Learning

Optimization

Tools

Pandas

NumPy

scikit-learn

PyTorch

AWS

Spark

Docker

SageMaker

Airflow

Jobbeschreibung

Join our Delivery Data Science team to build smarter search, ranking, and recommendation systems. Make an impact on millions of users while solving complex machine learning challenges!

About Us

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

About The Role

You will build complex models for our homepage ranking, textual item search, and recommendation engines, and develop product knowledge graphs for our merchants. You’ll also use optimization and causal inference techniques for menu quality assessment and commercial models. As a Staff-level Data Scientist, you will mentor and guide less experienced team members, sharing best practices in problem-solving, modeling, software engineering, and soft skills.

Main tasks and responsibilities:

• Collaborate with cross-functional teams (Data Analysts, Data Engineers, Product Managers, Software Engineers) to understand business needs and create technical solutions.
• Deploy and validate solutions for millions of users, enabling quick feedback and measurable value.
• Deploy models to production using AWS and internal platforms, utilizing Python, Spark, Presto, Docker, SageMaker, and Airflow.
• Exchange knowledge with Data Scientists across all levels to foster learning and innovation.
• Solve real-world problems such as ranking, textual search, recommendation, user clustering, pricing, image knowledge extraction, and user segmentation.
• Apply advanced techniques like deep learning, gradient boosting, causal inference, optimization, dimensionality reduction, uplift modeling, and more.

About you:

• 5+ years in Data Science and Machine Learning, preferably in product development within a tech company.
• Proficient in Python and libraries such as Pandas, NumPy, scikit-learn, PyTorch; experienced in statistical testing and data-driven problem exploration.
• Proactive, self-motivated, and enthusiastic about collaborating across roles to identify opportunities.
• Excellent teamwork and communication skills in English, both spoken and written.
• Hands-on experience building end-to-end ML systems, including testing, monitoring, scaling, and impact measurement.

Experience is valued, but drive, intelligence, and integrity are key. Even if you don’t meet every requirement, consider applying!

Why you’ll love it here:

• Shape the future of mobility.
• Impact millions of customers and partners across 600+ cities in 50+ countries.
• Work with talented, autonomous teams in a fast-paced environment.
• Accelerate your career growth with unique opportunities.
• Enjoy competitive salary and stock options.
• Benefit from flexible hybrid work with at least 3 days in the office weekly.
• Access wellness perks for physical and mental health.