Data Scientist

Annapurna; Dortmund; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading company is seeking a Senior Data Scientist to join their analytics and AI team remotely. You will be responsible for the full data science lifecycle, including data exploration, modeling, and deployment. Candidates should have a PhD in a related field and 5+ years of experience in data science, with strong proficiency in Python, SQL, and statistical modeling. Preferred qualifications include experience with cloud platforms and MLOps tools.

Leistungen

Flexible working hours

Professional development opportunities

Collaborative work environment

Qualifikationen

• 5+ years of experience in applied data science or machine learning.
• Proficiency in common ML and statistical modeling libraries.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.

Aufgaben

• Analyze structured and unstructured data to extract actionable insights.
• Design, develop, and evaluate predictive models and classification systems.
• Collaborate with product managers and stakeholders to translate problems into data solutions.

Kenntnisse

Programming skills in Python

Programming skills in R

SQL

Data Visualization

Machine Learning

Statistical Modeling

Ausbildung

PhD in Data Science

Mathematics

Statistics

Tools

Scikit-learn

TensorFlow

Pandas

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.