Senior Data Scientist (Python / Data Analytics / Machine Learning)

Senior Data Scientist (Python / Data Analytics / Spark / Hadoop / Machine Learning / Deep Learning)

We are recruiting for a Senior data Scientist to join my client onsite in the London area on an initial 6 months contract (based on a long term project) 

As a Data Scientist, you will be responsible for the design and development of analytical approaches based on product concepts, going all the way from feasibility checks to proof-of-concepts to prototypes to implementation in end-to-end solutions and you will manage and coordinate Data Science projects, i.e. defining user stories and specific tasks working closely with Product Owners and Product Managers.

 Job description:

• Design and develop analytical approaches based on product concepts, going all the way from feasibility checks to proof-of-concepts to prototypes to implementation in end-to-end solutions.
• Manage and coordinate Data Science projects, i.e. defining user stories and specific tasks working closely with Product Owners and Product Managers.
• Closely collaborate with machine learning engineers/ software engineers on creating data-driven end-to-end solutions for marketers.
• Provide guidance and leadership to non-Senior Data Scientists in your workstream.
• Present Data Science capabilities in client-facing situations, at conferences and in workshops.
• Actively share Data Science knowledge within Technology and Data network.

 We look for a profile with complementary skills, such as:

• Expert knowledge of Python programming, including Spark.
• Solid skills with regard to working in Big Data environments (e.g., Cloudera Hadoop, Hortonworks Data Platform, AWS EMR, Map/Reduce, Hive).
• Expert knowledge of the constantly evolving Data Science ecosystem and its frameworks (e.g., Hadoop, Spark MLlib, H2O, Tensorflow, Torch, Theano).
• Basic skills with regard to performance optimization and scalability (e.g., parallelization, code optimization, containerization, function as a service).
• Expert skills with regard to database handling, in particular SQL, NoSQL.
• Expert statistical modeling skills.
• Expert knowledge of optimization and / or machine learning algorithms and / or deep learning algorithms.
• Solid understanding of Big Data Architectures.
• PhD or Master degree that reflects strong modeling, statistics and IT skills.
• 5+ years of professional experience in quantitative data analysis/ data science or related areas
• Used to work in agile Scrum teams, ideally experienced with SAFe

 Key words:  Data Scientist / Python / Data Analytics / Spark / Hadoop / Machine Learning / Deep Learning / London

***Due to the nature of this role, my client is unable to sponsor non-EU nationals***

#DataScience #MachineLearning #DeepLearning

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