Data Scientist

Annapurna; Essen; Remote; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

A growing analytics and AI team is looking for a Senior Data Scientist to drive data-driven decision-making. Your role includes developing machine learning models, analyzing data, and collaborating with cross-functional teams to translate business challenges into data solutions. Join and shape the future of data science in a dynamic environment.

Qualifikationen

• 5+ years of experience in applied data science.
• Strong programming skills in Python or R.
• Fluent in English; German is a plus.

Aufgaben

• Analyze structured and unstructured data to support decisions.
• Design and evaluate predictive models and classification systems.
• Collaborate with product managers and software engineers.

Kenntnisse

Data Analysis

Machine Learning

Python

SQL

Data Visualization

Ausbildung

PhD in Data Science, Computer Science, Mathematics, Statistics

Tools

Scikit-learn

TensorFlow

Power BI

Tableau

Plotly

Jobbeschreibung

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 .

Preferred 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.