Data Science Engineer HybridRemote
Data Science Engineer HybridRemote
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Job Description
Role summary
The key functions of this role are twofold:
Client project delivery: Leading and facilitating deliveries of privacyfocused client projects including data privacy analysis data deidentification/anonymization and privacy engineering and advisory work. This role may involve leading projects as well as providing technical and methodology support to project leads and with time reviewing and providing oversight for other client work.
Data science support and DataOps: Supporting efforts towards designing and implementing scalable data architectures data processing workflows and data pipelines which align with best practices in data security privacy and compliance. These efforts may be internal to PAI or be in support of client project delivery. This role may also require aspects of DevOps including monitoring data pipeline or application performance and identifying and resolving issues as they arise. This role may also involve developing and maintaining datadriven applications and APIs.
Musthave skills
Education
Bachelors or Masters degree in Computer Science Software Engineering Mathematics Statistics Physics or a related field
Client project delivery
Ability to formulate and execute project plans independently or with moderate oversight
Ability to document findings clearly and concisely
Strong written and verbal communication presentation skills
Ability to effectively communicate findings to stakeholders with different levels of technical knowledge and understanding
Data science support and DataOps
Proficiency in programming languages such as Python Java and SQL
Knowledge of cloud computing platforms such as AWS GCP or Azure
Knowledge of data warehousing and data modeling techniques
Knowledge of software development best practices
Ability to tailor insights and communications to multiple audiences e.g. delivery leads methodology leads management.
Job responsibilities
Client project delivery 50 of time)
Lead clientfacing interactions to understand clients needs
Analyze the reidentification risk of clients data sets using proprietary PAI methodology
Present data deidentification solutions to clients
Document reidentification risk analysis results in clientfacing reports
Transform data in alignment with established deidentification strategies
Review and provide feedback on deliverables of other project leads
Support delivery leads through application of PAI technology and methodology and subject matter expertise in privacy field
Facilitate privacy engineering and serve as a trusted advisor on data privacy for clients
Data science support and DataOps 3540 of time)
Assist in design and maintenance of scalable data architectures that support efficient data processing and analysis
Develop and implement automated data processing workflows with a focus on privacybydesign
Collaborate with data scientists and other stakeholders to ensure that data is properly collected processed and stored
Where appropriate translate specifications into technical requirements that support development of softwaredriven proofofconcept (POC) solutions
Work with project leads and stakeholders to ensure data security and compliance with regulations such as GDPR and HIPAA
Developing and maintaining documentation for all processes and procedures
Nicetohave skills
Data science support and DataOps
Awareness of stateoftheart in privacyenhancing technologies
Experience with Atlassian suite (Jira Confluence) and Agile development practices
Experience with software version control / build / deployment principles and tooling e.g. Git Jenkins Docker
Experience with commonly used packages in data science e.g. NumPy Pandas Jupyter Notebook Matplotlib scikitlearn
Experience with commonly used packages in AI/ML model training and evaluation e.g. PyTorch
Experience with unit regression testing in software e.g. unittest pytest
IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at
Employment Type
Full-Time
