(Senior) Data Scientist (f/m/d)

Your mission

Machine Learning (ML) is revolutionizing the way of doing business at a global scale. In business lending, Finiata takes the technological forefront by developing proprietary technology that allows us to take accurate decisions in a fully data driven fashion. YOU will contribute to further develop the in-house all-data-things technology by engineering and productizing novel pipelines and ML models.

Note: This position is open from junior to senior level, depending on each candidate’s expertise

You will:

• Apply data science in areas like credit risk modeling, affordability and pricing, KPI forecasting, automated model evaluation (AutoML), causality and model interpretability (XAI)
• Develop machine learning expertise beyond basic supervised and unsupervised learning, mentor and be mentored by other team members
• Prototype and subsequently operationalize innovative, data-intensive, end-to-end machine-learning-based decision engines
• Demonstrate your leadership skills and manage a Machine Learning based project or product, which you will define through frequent interactions with experienced financial-services professionals

Your profile

• Highly motivated with excellent communication and strong interpersonal skills
• M.Sc or PhD in a quantitative field and/or working experience as a Data Scientist or Machine Learning Engineer
• Proficiency in Python with ability to translate ideas into prototypes and prototypes into production
• Experience with working on Machine Learning projects to learn from structured data, as well as, deep knowledge on statistics
• Fluent written and verbal communication in English

As a plus:

• Deep knowledge of the theory and expertise on the application of Machine Learning
• PhD in Machine Learning and/or data mining fundamental topics and/or non-trivial applications of ML/DM foundations
• Top tier academic track on ML/DM conferences (e.g.: KDD, NIPS, ICML, AAAI, ECML/PKDD)

Why us?

• Get to make an impact on thousands of businesses every day
• Participate in a self-organized, continuously improving team
• Work with the best and learn from other competent and brilliant people
• Be supported to grow and take leadership from day one
• Get insights and learnings about the financial business and technology
• Benefit from remote work opportunities, flexible working hours and a Company Holiday on 24th and 31st December
• Benefit from an office in the centre of Berlin with great perks (Free drinks and fresh fruit, Urban Sports Club membership, Pizza Thursday)
• Have the option to take German language courses
• Have the option to bring your best buddy to work. We love dogs!
• Be paid a competitive salary