Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
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.
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.
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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.
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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.
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Benefits
Health, Fitness & Fun
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Job Locations
This is your employer
diconium GmbH
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.
Description
- Founding year
- 1995
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
