Principal Data Intelligence Specialist

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

We are currently looking for an exceptional Data Intelligence expert to join our growing team in Staines-upon-Thames. This is a good opportunity to work with next generation mobile devices from Samsung and solve industry relevant problems.
We are seeking a high quality, skilled and motivated researcher with strong analytical skills, with academic and/or industrial experience in Data Management, Data Science and database technologies. This is a multifunctional role where the candidate will technically contribute to both research and development projects. Research project domains include Recommender systems, Time Series Analysis, Anomaly detection, Ontology and Semantic Web Technologies (RDF, OWL), triple stores and graph databases. Development project domains include data science where the teams are analysing patterns in boundless quantities of existing and new data with complex data modelling using machine learning or statistical analysis to produce insights for the business.
The candidate is expected to liaise with multiple research and development teams providing technical expertise and technical oversight. The candidate will liaise with academic partners and other research centres to develop new technology opportunities and participate in developing new strategic directions and technology proposals. Within this role then technological excellence is required, there will be no requirement to perform any management function.

Role and Responsibilities

As a Principal DI Specialist you will:

• Research and develop a wide variety of DI related technologies that may be applied to Samsung’s devices and infrastructure.
• Provide technical oversight on existing projects through the inception, feasibility, design and implementation phases.
• Have knowledge of the latest data science techniques.
• Assist in identifying appropriate academic technology partnerships, whilst maintain technology liaisons with existing partners.
• Liaison with academic partners and technical contributions to research papers and patents.
• Translate complex functional and technical requirements into detailed designs.
• Assist in the generation of new ideas and opportunities.
• Technical contributions to research papers and patents.

Skills and Qualifications

Required Skills

• A PhD or equivalent experience in Computer Science, Electronics, Natural, Physics, Mathematics, Engineering or any related discipline.
• Knowledge of the latest data science techniques.
• Programming proficiency in Python (NumPy, pandas etc.), R, Scala, , C++/Java
• Data modelling and cleansing experience in above languages
• Experience working with big data sets
• Experience with processing tools like Spark, Hadoop, Hive, Impala, and Pig
• Exposure to SQL and relational databases (MongoDB, DynamoDB etc.)
• Prior experience with one or more of the following: collaborative filtering, clustering, classification, segmentation, regression, decision trees, statistical models
• Experience with databases, relational and non-relational databases, including: triplestore technologies and graph databases.
• Excellent communication, team work and a results-oriented attitude

Desirable Skills

• Experience with Cloud computing platforms (AWS, Azure, Google Cloud etc.)
• Experience implementing a real-world recommender or ranking system
• Exposure to CNN, RNN, LTSM
• Experience working with different data sources (REST APIs, different database technologies, etc.)
• Good understanding of Semantic Web Technologies and Ontology reasoning
• Experience with Business analytics