(Senior) Data Scientist (m/f/x) onsite or remote (in Germany)
Berlin, Germany
Applications have closed
Scalable GmbH
Der Broker mit Trading-Flatrate: Aktien, ETFs, Fonds, Kryptowährungen & Derivate handeln im kostenlosen Depot. Jetzt loslegen!Company Description
Scalable Capital is a leading digital investment platform in Europe.
Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, Scalable Wealth, Scalable Crypto and our solutions for B2B partners we offer easy and cost efficient investing for everyone.
Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 10 billion Euros on our platform.
Visit our finance blog or tune in to our podcast (both in German) to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).
Job Description
- Develop and implement data solutions of significant business value by not only using advanced statistical or machine learning models but also classical, pragmatic descriptive solutions
- Collaborate with cross-functional teams including product, engineering, and marketing teams, to identify new opportunities for data-driven innovation
- Take proactively responsibility for end-to-end implementation of cross-divisional data science use cases (brainstorming and idea generation, implementation, testing, deployment, maintenance)
- Drive continuous improvements and optimization of data science models and pipelines
- Work on a modern cloud (AWS) stack and contribute to decisions on which technology to use
- Proactively generate insights from a huge and increasing amount of structured and unstructured data to identify business questions that haven’t been asked yet
- Communicate findings and advanced analytics concepts to stakeholders in a clear and effective manner
- Work in an ego-free environment and be part of a motivated, fast-paced, and result-driven agile team with highly ambitious and intelligent people in our growing data analytics department
- Stay up to date with the latest industry developments and technologies
Qualifications
- University degree in a data science related field, e.g., computer science, mathematics, statistics, or natural sciences and relevant working experience
- Data-driven and good with numbers whilst being able to explain complex concepts in simple terms
- Very good programming skills in Python, knowledge of Java and Kotlin is a plus
- Confident in programming with modern data science and visualisation libraries such as scikit-learn, pytorch, transformers, bayesian statistics (eg., lightweight mmm or pymc3), plotly, matplotlib, …
- Very good knowledge of modern supervised and unsupervised machine learning algorithms (e.g., tree-base models, deep learning, natural language processing, recommender systems, XAI) but also classical statistical models like regression techniques
- Experience with cloud services (e.g, AWS), MLOps, and version control
- Strong project management and organisational skills paired with excellent problem solving skills and hands on mentality
- Strong commitment to teamwork and resilience in a creative and constantly changing environment
- Eager to extend your knowledge on modern data science algorithms and technologies continuously
- Sense of humour
- Familiarity with A/B testing setups is a plus
- Familiarity with AWS landscape: SageMaker, Lambda, API Gateway, ECS is a plus
- Experience with marketing mix modelling is a plus
- Interest in financial services and markets is a plus
- Experience with Infrastructure as Code (e.g., terraform) is a plus
Additional Information
- Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
- The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
- Enjoy an office in a great location in the middle of Munich or Prenzlauer Berg, one of the hippest neighborhoods of Berlin or choose to work remotely (in Germany)
- 30 paid vacation days
- Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget
- Work productively with the latest hardware and tools
- Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME Broker
- Benefit from an attractive compensation package
- Learn and Experience German culture first hand by joining our free German language classes
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Agile APIs AWS Bayesian Computer Science Crypto Data Analytics Deep Learning ECS Engineering Finance FinTech Java Lambda Machine Learning Mathematics Matplotlib ML models MLOps NLP Pipelines Plotly Python PyTorch Recommender systems SageMaker Scikit-learn Statistics Terraform Testing Transformers Unstructured data
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