Replica Analytics - An Aetion Company

About the role

Working at Replica Analytics is a unique opportunity to advance health care, AI and privacy at the same time – three of the hottest topics in the world today. The Data Science team works to research and develop new statistical and machine learning methods for the generation and assessment of synthetic data as well as providing consulting services to clients.  If you enjoy a highly interdisciplinary, innovative and supportive environment, this may be the right job for you.

We are hiring a Senior Data Scientist to:

• Maintain and improve existing production and quality control pipelines for synthetic data deliverables
• Communicate and coordinate with clients on data synthesis deliveries
• Participate in client education on data synthesis technologies.
• Contribute to the development of new technologies for data synthesis using a wide variety of machine learning methods; investigate various research topics in machine learning and statistics to determine the best method for data synthesis
• Contribute to the implementation and testing of production and research pipelines in Python and R as well as other languages
• Contribute to the dissemination of research results in the form of peer-reviewed papers, reports, and presentations

Qualifications

We are looking for individuals to proactively manage and schedule projects for the Data Science team.  That individual has or is:

• A BSc/MSc/PhD degree (or equivalent) in mathematics, statistics, computer science, or electrical engineering
• 1-3 years of work experience (1 year for candidates with a PhD, 2 years for candidates with an MSc, 3 years for candidates with a BSc)
• Demonstrated an ability for conducting statistical and machine learning research (in the form of a thesis, publications, or side projects) and to independently solve problems
• Proficient in Python or R programming for data science (data cleaning/pre-processing, classification and regression, model evaluation, data visualization, writing and applying custom functions, parallelization)
• Deep learning experience with PyTorch or TensorFlow
• Excellent organizational and communication skills (verbal and oral)
• Detail-oriented
• Motivated to learn and apply new machine learning methods to solve real-life problems
• Experience working with health care data
• Knowledge of SAS and SAS programming is a plus