Data Scientist

ZipRecruiter; Bielefeld; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading company is looking for a Senior Data Scientist to join their analytics and AI team in Germany. This remote role involves driving data-driven decision-making through developing complex machine learning models. Suitable candidates will have a strong academic background, significant experience in applied data science, and proficient programming skills in Python or R. This role offers an opportunity to engage in the full data science lifecycle, collaborating with product managers and engineers to solve challenging business problems.

Qualifikationen

• 5+ years of experience in applied data science or machine learning.
• Proficient in common ML and statistical modeling libraries.
• Fluent in English; German language skills are a plus.

Aufgaben

• Analyze structured and unstructured data for strategic insights.
• Design and develop predictive models and recommendation systems.
• Collaborate across teams to translate problems into data solutions.

Kenntnisse

Data Analysis

Machine Learning

Python

SQL

Predictive Modeling

Statistical Modeling

Version Control

Data Visualization

Ausbildung

PhD in Data Science, Computer Science, Mathematics, Statistics, or a related field

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

GCP

Azure

Docker

Jobbeschreibung

Job Description

Senior Data Scientist - Germany - Remote

We are seeking a skilled and curious Data Scientist (m/f/d) to join a growing analytics and AI team.

You will drive data-driven decision-making and develop machine learning models that solve complex business challenges.

From data exploration and modeling to deployment and monitoring, you’ll be involved in the full data science lifecycle.

Key Responsibilities

• Analyze structured and unstructured data to extract actionable insights and support strategic decisions.
• Design, develop, and evaluate predictive models, classification systems, recommendation engines, or forecasting algorithms.
• Collaborate with product managers, software engineers, and business stakeholders to translate problems into data solutions.
• Visualize results through dashboards and presentations (e.g., using Power BI, Tableau, or Plotly).
• Develop reproducible pipelines for data processing and model training using tools like SQL, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Deploy and monitor models in production with the support of MLOps/engineering teams (if applicable).
• Maintain documentation and ensure your work is reproducible, explainable, and aligned with data privacy regulations like GDPR.

Requirements

• PhD in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 5+ years of experience in applied data science or machine learning.
• Strong programming skills in Python or R.
• Solid experience with SQL and working with relational databases.
• Proficiency in common ML and statistical modeling libraries (e.g., Scikit-learn, XGBoost, TensorFlow).
• Familiarity with version control (e.g., Git), and experience working in collaborative coding environments.
• Fluent in English (business level); German is a plus.

Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps tools (MLflow, Airflow, Docker).
• Background in a domain like finance, e-commerce, healthcare, or manufacturing.
• Experience with A/B testing, uplift modeling, or causal inference.