Job
In this role, you will develop machine learning models to address complex business problems, analyze large datasets, optimize solutions within interdisciplinary teams, and communicate findings to diverse stakeholders.
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Job technologies
Your role in the team
- Development and implementation of machine learning algorithms and models to address business challenges of our clients.
- Extracting valuable insights from large and unstructured data sources.
- Design, development, and technical leadership of AI/ML-driven solutions, e.g., in the areas of predictive analytics, recommendation systems, and process automation.
- Close collaboration with interdisciplinary teams to understand the technical objectives of our clients and translate them into effective ML/AI solutions.
- Evaluation of model performance as well as continuous improvement of accuracy and efficiency through iterative optimization.
- Clear and audience-appropriate communication of results and insights to both technical and non-technical stakeholders.
- Assuming professional leadership responsibilities as well as supporting other Data Scientists in their technical and personal development.
Our expectations of you
Education
- Completed bachelor's degree or higher in statistics, mathematics, computer science, or a comparable quantitative field.
Qualifications
- Very good understanding of statistical methods and machine learning algorithms.
- Ability to work independently as well as in a team in fast-paced environments, combined with excellent communication skills and the ability to present complex technical concepts clearly and understandably.
- Fluent English skills.
- Very good knowledge of German (at least level B2).
- Knowledge of deep learning frameworks (e.g., PyTorch, Keras).
Experience
- At least 5 years of relevant professional experience in Data Science with proven practical experience in applied Machine Learning, AI, and statistical modeling.
- Excellent knowledge of programming languages such as Python, including experience with relevant libraries (e.g., TensorFlow, scikit-learn, NLTK), as well as good SQL skills.
- Experience in project management or in taking on professional leadership responsibilities.
- Experience in communicating with and managing stakeholders, ideally in an IT service environment or in a consulting setting.
- Experience with Big Data technologies and cloud platforms.
- Experience in data processing with Spark and Databricks or comparable technologies.
- Experience with data visualization, dashboarding tools, or simple frontends for visualization (e.g., Streamlit, Dash, Tableau, Power BI).
- Experience with MLOps as well as deploying ML/AI models in production environments.
- Experience with Generative AI and agent-based systems.
What we offer
- Discover new skills and build on your strengths.
- Adjust your workday to fit your personal lifestyle.
- Celebrate community, sustainability, and diversity.
- And sweeten your working life with benefits that suit you!
- Develop yourself professionally and personally, for example through training programs, free language courses, competence centers, or the Rewrite Tech community.
- Benefit from hybrid work, workations, flexible working hours, parental support, sabbaticals, and more.
- Get involved in our Sustainability Hub, in our communities, as part of the Diversity Taskforce, and in after-work activities.
- Look forward to upgrades that go beyond working life: from public transport tickets and company bikes to health benefits and retirement plans, as well as numerous discounts.
Benefits
Health, fitness & fun
Higher take-home pay
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Since 1995, we have supported industry leaders like VW, Mercedes-Benz, Bosch, Kodak Alaris, and Sick in leveraging the potential of digital transformation to offer millions of customers exceptional experiences. As a strong partner, we accompany companies through every step of the digitalization process.
- 1995
- Established Company
- Onsite, Hybrid
- Internet, IT, Telecommunication
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