Data Scientist in Berlin bei Hypatos GmbH

Data Scientist (f/m/d) in Berlin bei Hypatos GmbH

Hypatos GmbH

Your Mission

As a member of our team you will have a significant impact on the technical direction of the company.
You will be on the cutting edge of data science, and collaborate closely with other data scientists, machine learning engineers and key stakeholders to leverage established and novel data sources and machine learning techniques to deliver tools that integrate directly with our existing application landscape.
You will work with state-of-the art machine learning and statistical models as a full-time data scientist, and deploy NLP/text mining models to production
You will leverage recent advances in natural language understanding and AI to increase automation
You will present machine learning approaches to stakeholders and clients from a non-technical discipline

Your Profile

Ph.D., M.Sc. or equivalent experience in Computer Science, Engineering, Statistics, or another relevant technical field
Deep technical knowledge in a variety of statistical and machine learning methods, such as: modern neural networks, tree-based models, regularized GLMs, and more
Experience with Python/R/Matlaband ML toolkits such as Torch, TensorFlow, Keras, Scikit-learn, CRAN, etc.
Strong skills in SQL and No-SQL databases
Familiarity with IaaS solutions, such as Microsoft Azure, AWS, and Google Compute Engine is a plus
Experience with transitioning applications from R&D into production is a big plus
Motivated self-starter with a strong enthusiasm to learn
Strong communication skills. You communicate complex data solutions across teams and clients

Our Offer

You will be able to personally and professionally grow with a young and striving company through technically challenging, diverse and increasingly international projects
Beyond an individually negotiated compensation package including company shares, you will enjoy a unique combination of professional opportunities, entrepreneurial spirit, technological excellence and industry exposure
Flat hierarchies and a large amount of individual responsibility
Flexible working hours and a pleasant working environment
Partial home office solution is possible