I am looking for an experience, PhD qualified Data Scientist to join my client’s research and operations team.

What you will be doing in the role:

• Core research on critical topics relating to anonymity, encryption, privacy and risk management, i.e. differential privacy, homomorphic encryption, etc.
• Understand business objectives and customer requirements.
• Suggesting and contributing to initiatives to develop new tools and technologies.
• Development of literature reviews / market landscape reports.
• Development of tools to enable automated analysis of data risk reports.
• Identification of risk assessment tests and configurations based on internal analysis and state of the art reviews.
• Development of algorithms to implement required privacy enhancement controls.
• Development of machine learning and predictive analytics models using anonymized customer data to support their key business requirements.
• Large-scale evaluation of effectiveness of company’s anonymization techniques and machine learning models developed for customers.

What you will need:

• PhD degree in a related discipline (computer science, statistics, data analytics, privacy).
• Applied knowledge (2+ years) in related programming environment (Python/Jupyter, Scala/Spark, R, etc).
• 2+ years of industry experience in a relevant role.
• Practical experience using machine learning and analysis techniques (clustering, regression, decision tree learning, artificial neural networks, etc) and their real-world advantages, drawbacks and ideal usage scenarios.
• Excellent analytical and statistical analysis skills.
• Experience with manipulating and analysing data using data frames, pivot tables, visualization tools.
• Experience working with and creating data architectures.
• Direct experience with the entire data science project lifecycle, including requirements gathering, design, implementation, evaluation and presentation of results.
• Ability to present technical concepts and results clearly to different audiences and stakeholders.
• Experience in data privacy, GDPR compliance and risk management
• Working knowledge of Big Data technologies including Spark, Hadoop, Cassandra, Kafka, Redis, Hive, Impala.
• Experience with cloud infrastructure providers (AWS/Azure).
• Excellent experience with data partitions and transformation, and in-memory computations (large-scale join / groupby / aggregations).
• Experience designing and building large scale Spark applications and data pipelines, monitoring and optimizing Spark job performance.
• Customer requirements gathering and KPI reporting / presentation of data science project outputs.
• Industry experience in relevant vertical such as financial services, travel / hospitality, telecom, insurance, health.
• Experience working in an Agile environment.

The company will provide you with:

• Outstanding salary
• health insurance,
• contributory pension scheme
• free lunches

The Next Step for you: 

Should this position be of interest to you please forward your CV to Zsofia Nemeth (zsofia.nemeth@nextgeneration.ie) from Next Generation Recruitment or alternatively call on the main line on +353 1 9609784. 

Next Generation are specialists in Engineering, Data Science, Digital, Finance, IT Contract, IT Permanent, Life Sciences, Supply Chain, Procurement and Operations. 

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