Data Scientist

ZipRecruiter; Krefeld; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading company is seeking a Senior Data Scientist to join their remote analytics team in Germany. This role involves driving data-driven decisions and developing machine learning models to address complex business challenges. As part of the data science lifecycle, you will analyze data, create predictive models, and collaborate with various stakeholders. Candidates should possess a PhD and significant experience in data science, along with strong programming skills. Join us to make impactful contributions in an evolving field.

Qualifikationen

• 5+ years of experience in applied data science or machine learning.
• Strong programming skills in Python or R.
• Solid experience with SQL and relational databases.
• Proficiency in ML and statistical modeling libraries.

Aufgaben

• Analyze structured and unstructured data to extract actionable insights.
• Design and evaluate predictive models and classification systems.
• Collaborate with cross-functional teams to develop data solutions.

Kenntnisse

Data analysis

Machine learning

Programming in Python

Programming in R

SQL

Data visualization

Version control

Ausbildung

PhD in Data Science or related field

Tools

Scikit-learn

TensorFlow

PyTorch

Power BI

Tableau

Pandas

Git

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.