Data Scientist

We are a Berlinbased startup that has successfully established a leading B2B marketplace for industrial metal trading across Europe.

The multibillioneuro metal trading industry is operated on Excel PDF and Email. We are on a mission to transform buying and selling in one of the oldest industries of the modern world with seamless and intuitive digital solutions. Our technologies increase liquidity accelerate transactions reduce scrapping rates and enhance buying convenience for hundreds of steel and metal distributors across Europe.

The Opportunity

Join our VCbacked company during this exciting phase of growth. We are creating a Data Team to oversee data analysis engineering and science. As a Data Scientist youll support our datacentric approach to spot trading opportunities based on inventory data and buyer preferences with direct impact on our topline.

This position is based fulltime in our vibrant Berlin office. We believe that working together in a dynamic office setting fosters collaboration and accelerates the growth of our ambitious startup.

Tasks

• Develop models and algorithms to aggregate clean structure and standardize supplier inventory data from various data sources and formats including Excel PDF ERP and unstructured natural language.
• Develop material recommendation algorithms based on live material inventory purchase behavior and buying preferences.
• Evaluate algorithm performance to identify improvement opportunities.
• Push new ideas into the design and concept funnel while keeping business priorities tradeoffs and technical feasibility in mind.
• Design and analyze largescale A/B tests to continuously improve and iterate algorithm performance.
• Create develop and maintain metrics on dashboards to measure algorithm performance and the value generated for our customers and for the company.
• Proactively communicate share your conclusions and explain complex topics tailored to diverse audiences.

Requirements

• At least 2 years of experience working in data science or machine learning or statistical modeling
• A degree in computer science mathematics statistics or another quantitative discipline
• An exceptional understanding of data analysis tools techniques and limitations statistics concepts and A/B testing
• Experience applying theoretical models in an applied environment
• Experience working with data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. Matlab)
• Excellent communication skills (both verbal and written) and confidence in presenting ideas and findings to stakeholders with the right level of detail
• Ability to work well independently understand data science fundamentals be meticulous and prioritize effectively

NicetoHaves:

• AI Systems: Exposure to AI in a professional environment or at least in your free time
• Technical Skills: Professional exposure to TensorFlow PyTorch Keras or other AI/ML librariesCloud Experience: Experience with using AI models on AWS or GCP

Benefits

• Ownership of projects with a focus on outcomes rather than timetracking.
• Fastpaced yet collaborative culture fostering individual performance and teamwork.
• Competitive compensation based on experience
• Home office Tuesdays
• Beautiful office located in the heart of Prenzlauer Berg Berlin
• Friday drinks on us!