Principal Data Intelligence Specialist - Staines-upon-Thames, United Kingdom - Samsung Electronics

Samsung Electronics

Verified Company

Staines-upon-Thames, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Position Summary

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.

The role is based at the Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.

We operate a hybrid working model of 3 days working from the office and 2 days working from home weekly.

Role and Responsibilities

As a Principal DI Specialist you will:

Lead and mentor a team of researchers through the inception, feasibility, design and implementation phases of projects.
Collaborate with academic partners and provide technical contributions to research papers and patents.
Propose and develop academic technology partnerships, whilst maintaining existing relationships with Samsung's current partners.
Drive the generation of new ideas and opportunities utilizing knowledge representation and reasoning technologies to create new products and services for Samsung.
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 state-of-the art data science techniques.
Translate complex functional and technical requirements into detailed designs.
Drive the generation of new ideas and opportunities.
Generation of research papers, technology proposals and patents.

Skills and Qualifications

Required Skills:

A PhD or equivalent experience in Computer Science, Electronics, Natural, Physics, Mathematics, Engineering or any related discipline.
A proven postdoctoral research record leading projects in areas including Ontologies, Ontology Languages, Description Logics and Automated Ontology Reasoning.
Publications in top ML/AI/DI conferences, including AAAI, ESWC, ICLR, ICML, ISWC, SIGMOD
Good understanding of Knowledge Representation and Semantic Web Technologies (OWL, RDF, SWRL, SPARQL)
Experience with relational and nonrelational databases, including: triplestore technologies and graph databases.
Knowledge of the latest data science techniques.
Data modelling and cleansing experience.
Experience working with big data sets
Exposure/experience with processing tools like Spark, Hadoop, Hive, Impala, and Pig
Exposure/experience with 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 nonrelational databases, including: triplestores technologies and graph databases.
Excellent communication, team work and a resultsoriented attitude

Desirable Skills Experience with natural language processing methods- 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- Project leadership and/or line management experience

Contract Type:
Permanent

Job Location:
Staines-upon-Thames, Surrey, UK

Hybrid Working: 3 days working from the office and 2 days working from home weekly

Employee Benefits:

Competitive Salary, Annual Performance Bonus up to 21.5%, Car Allowance (grade dependant), Pension Scheme with company contribution up to 8.5%, Income Protection, Stocks & Shares ISA, Life Assurance, 25 days holiday (increasing to 30 with length of service).

We also have a wide range of Flexible Benefits to choose from with Samsung providing an allowance of £600 per year to spend on them.