Data Scientist

Rocketlist; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Rocketlist is looking for a Data Scientist to build production-ready applications and develop practical machine learning features that power customer-facing products. You will lead projects from data exploration and feature engineering through modelling to deployment.

You will collaborate with data scientists, ML engineers and product managers to deliver customer value, own projects end-to-end, and mentor junior colleagues while exploring new technologies.

Qualifications

• Bachelor's or Master's degree in quantitative disciplines (math, stats, CS).
• 2-4 years practical ML experience, at least one model in production.
• Hands-on with modeling techniques including classification, regression, time series, unsupervised methods.
• Strong Python and SQL programming skills.
• Solid understanding of model evaluation, imbalanced data handling, validation, and calibration.

Responsibilities

• Own projects from data exploration and feature engineering through modelling to deployment.
• Contribute to solutions in financial crime prevention and credit risk assessment that reach customers.
• Collaborate with data scientists, ML engineers and product managers to deliver customer value.
• Support junior colleagues through code reviews, pairing and knowledge sharing.
• Opportunity to experiment with new tech stacks and project ideas.

Skills

Python

SQL

Classification & regression models

Time Series Analysis

Unsupervised Models

Model evaluation

Education

Bachelor's or Master's in quantitative disciplines

Job description

About the Role

We are seeking a Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features.

Key Responsibilities

• Own well-scoped projects from data exploration and feature engineering through modelling to deployment.
• Contribute to solutions in financial crime prevention and credit risk assessment that reach customers.
• Collaborate with data scientists, machine learning engineers and product managers to deliver customer value.
• Support junior colleagues through code reviews, pairing and knowledge sharing.
• Have the opportunity to experiment with new tech stacks and project ideas.

Requirements

• Bachelor's or Master's degree with a focus on quantitative disciplines including mathematics, statistics, or computer science.
• Practical experience (typically 2-4 years) developing machine learning solutions, with at least one model taken to production.
• Hands-on experience with a range of modelling techniques, including: Classification and regression models, Time Series Analysis, Unsupervised Models.
• Solid understanding of model evaluation, including handling imbalanced data, validation strategies, and calibration.
• Strong programming skills in Python and SQL.