Job Description

Senior Data Scientist (m/f/d) – Machine Learning & Predictive Analytics (95% Remote)

Company: PDR.cloud

Location: Remote (with approx. 1 day/month onsite in Berlin)

Salary: €60,000 – €90,000 gross/year (depending on experience)

About Us

We are a rapidly growing company, specializing in software solutions for body and paint shops, with a nationwide presence. Our software combines the functionality of a traditional dealer management system with intelligent cloud solutions to minimize organizational effort in workshops and maximize their productivity.

Currently, we are looking for a

Senior Data Scientist (m/f/d) – Machine Learning (Berlin/Remote)

to join our analytics and product team full-time. In this role, you will design, build, and deploy predictive models and data-driven solutions that power our next generation of intelligent workshop software. You’ll work hands-on with real-world process and repair data, lead technical discussions, and shape the future of data science in the automotive aftersales sector.

What will you do?

Develop, implement, and maintain advanced machine learning models to forecast process durations, resource needs, and optimize workshop operations Collaborate closely with engineering, product, and domain experts to turn business requirements into data-driven solutions Extract, transform, and analyze large-scale tabular and text data from workshop management and vehicle systems Build end-to-end data science workflows: from feature engineering and model training to deployment and monitoring in production Communicate complex analytical concepts and model results clearly to both technical and non-technical stakeholders Promote and drive best practices in reproducibility, code quality, and documentation within the Data Science team Mentor and support junior team members, encouraging a culture of learning, curiosity, and innovation Stay up-to-date with the latest trends in machine learning, predictive analytics, and MLOps Contribute to technical discussions both remotely and during our regular in-person meetings in Berlin-Schöneberg, where we brainstorm, plan, and share lunch Support the continuous improvement of our data platform and pipelines in collaboration with software engineers

What skills and knowledge should you bring?

A bachelor’s or master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field (or equivalent professional experience) Fluency in spoken and written English Good verbal communication in German (at least B1/B2), strong comprehension and writing skills preferred Excellent knowledge of Python and the common data science ecosystem (pandas, scikit-learn, NumPy, Jupyter, etc.) At least 5 years of professional experience in Data Science or Machine Learning projects (ideally in a production/operations or industrial setting) Practical experience with supervised learning, regression, feature engineering, and model evaluation Familiarity with deploying and monitoring ML models in production environments Experience with data visualization and communicating insights (e.g., using matplotlib, seaborn, Plotly, Dash, or similar tools) Proficiency in writing clean, maintainable, and reproducible code (version control with Git, CI/CD workflows, code reviews) Ability to translate business and domain requirements into robust analytical solutions Strong problem-solving, critical-thinking, and communication skills Willingness and ability to join a team meeting in Berlin once a month

Bonus Skills:

Experience with cloud platforms such as Google Cloud, AWS, Azure, or MLOps tools Knowledge of database technologies (SQL, BigQuery, Snowflake, etc.) Experience with natural language processing (NLP) and text data Familiarity with data privacy and security best practices Automotive industry experience or interest in aftersales/process optimization

What do we offer you?

A key role in one of the most promising companies in the automotive software industry Flat hierarchies and a flexible organizational structure Competitive salary Flexible working hours and workplace (remote/hybrid) Continuous professional development and training opportunities High level of responsibility and creative freedom Varied and interesting tasks in a young, innovative, and collegial team Short decision-making paths State-of-the-art equipment Annual team event to foster team spirit and collaboration A secure and future-oriented position in a successful and expanding company

How to Apply

Take a few minutes to review the job posting and consider if this role fits your skills and ambitions. If you’re excited by the challenge, we’d love to hear from you!

Please submit your resume, including relevant links (e.g., GitHub, Kaggle, or project portfolio), and answer the questions provided here on Indeed.

In your resume or cover letter, please specify your experience with Python, machine learning, and process analytics – and highlight real-world projects you have worked on.

We look forward to receiving your application!

Art der Stelle: Vollzeit

Gehalt: 60.000,00€ - 90.000,00€ pro Jahr

Leistungen:

Flexible Arbeitszeiten Homeoffice-Möglichkeit
Bewerbungsfrage(n):

Do you reside in Germany and do you have a valid work permit? Are you able and willing to come to Berlin Area once a month?
Berufserfahrung:

Machine Learning: 5 Jahre (Erforderlich) Python: 5 Jahre (Erforderlich) TensorFlow: 5 Jahre (Erforderlich) Data Science: 5 Jahre (Erforderlich)
Sprache:

Englisch (Erforderlich) Deutsch (Wünschenswert)
Arbeitsort: Zum Teil im Homeoffice in 10823 Berlin