Description
Data Scientist - NLP - Munich - €400-€700 Per DayCalling all Contract Data Scientists - Optimus Search are working with one of the fastest growing companies in Germany. With year-on-year growth of over 50%, The world leader in online and mobile ordering has won multiple marketing awards and built a reputation for being an exciting and fun place to work.
With this Growth comes the need for state of the art Technology and they are now on the lookout for like-minded, hard-working people to join the Passionate and Innovative Team.
They are hiring a new team of 5 data scientists reporting into the Head of Machine Learning. This is a fantastic opportunity to make a huge impact on an already booming company.
The Role
-Any successful candidate will partner closely with tech and product teams to develop features for the website and apps bringing data to bear in improving the experience for the customer base globally.
-The focus will be on quarterly product feature development cycles, targeting defined metrics with associated iteration and testing.
-While in your first quarter you will be supporting pre-existing projects, the goal of the team is to drive product development strategy and thinking in this area.
-Additionally you will partner closely with the Data Engineering team, with a focus on deploying models effectively into production at scale.
Specific skillsets:
Specific data science skillsets we are hiring for Evidence of prior work in similar projects at scale is required:
-NLP - Ontology Learning & Semantic Classification
-Graph algorithms
-Neural Networks
-AI as related to Chatbots
-Recommender Systems
In addition:
? You will have a strong mathematical + compsci background in statistics and
machine learning.
? You care about evaluation first, datadriven development and reliability.
? You feel confident extracting and manipulating data from our various SQL and
NoSQL data stores and storage frameworks.
Toolsets can be varied. The most important tools will be the one for your specialization
above. For example, Theano / TensorFlow / Keras for NNs. Generally, we tend to default
to Python first, but R is also valuable and so is experience with SparkML / GraphX, Azure
ML, Amazon Machine Learning, Julia or Mahout.
We need more than just R and Matlab.
Experience with Big Data Technologies are a definite plus: AWS systems (including
dynamoDB, elasticsearch, S3, SQS, Kinesis) or Spark / Storm / Hadoop / Kafka or Neo4j.
Most importantly you can explain how you used the technologies to build solutions.
Other pluses are: Experience with GIT or similar VCS