Are you capable of creating novel Machine Learning models but also designing and build the pipeline & systems where these models will be deployed?
If the answer is yes, then you can be classified as that unicorn referred to as a Data Science Engineer.
This company understand real human behaviour and they achieve this by analysing huge amounts of data and it gives them their uniquely powerful tool which centres around what people actually do and allows them to utilise this real-world intelligence to produce a number of cutting edge products that have established them as market leaders.
As a SeniorData Science Engineer you will be a combination of Software Engineer and Data Scientist who will be required to write production code along with implementing a variety of machine learning techniques in order to advance numerous ongoing projects as well as having an input in new opportunities and areas as to which these ML models could add immense business value.
The role itself:
Design & build out large scale Machine Learning systems and pipelines.
Creation and deployment of novel Machine Learning models.
Mentor other members of the team to advance their capabilities within this space.
PhD or MSc in Mathematics, Computer Science or related field.
Minimum 5 years’ experience solving complex data and algorithmic challenges on a large scale.
Expertise in either Python or Scala.
Experience with pandas, Tensorflow, Scikit-Learn, Scipy, Numpy, and other Machine Learning and Statistical libraries.
Knowledge of cloud-based services such as AWS or GCP
Excellent understanding of server-side Linux
Bonus points for the following:
Experience optimizing in Spark, Hive, or similar tools.
Practical experience with relational databases (such as MySQL) including advanced operations such as partitioning and indexing.
Experience with Python notebooks, such as Jupyter or Zeppelin to analyse, prototype, and visualise data and algorithmic output.
Are you said unicorn? If so, contact me at Logikk on 020 3005 4968 or [email protected]