Research Scientist - Data Science and Risk Analysis

Columbus OH
30+ days ago

Job Description

You will work on the Research Team investigating the latest technologies and computational techniques relevant to Privacy Enhancing Technologies, and developing models to quantify how these techniques mitigate disclosure risk. Your work will focus on develop risking modeling and mitigation strategies focusing on specifically on privacy risks. Using insights developed from the risk models, you will help develop and enhance novel privacy enhancing technologies to further reduce disclosure risk.

You will work closely with the Applied Data Science and Customer Success teams to understand customer use cases, usage patterns, and feedback. You’ll work closely with the Legal Engineering team to understand trends in regulations and best practices on a variety of regulatory & privacy related topics. Finally, you’ll work closely with the Product Team to ensure successful hand off and productization of research prototypes that transition to product features.

  • have a strong background in their field, have a strong background in mathematics & statistics, and have a desire to apply their background to research centered on data privacy, protection, and governance,
  • are experienced in quantitative risk assessment and mitigation,
  • are outstanding problem solvers, can understand tradeoffs without becoming stuck in analysis paralysis, can tackle tough challenges with innovative thinking and determination,
  • have excellent communication skills and can effectively convey the results of investigation for productization and convey the results of analysis / investigations at conferences, in papers, and in other media such as blog posts,
  • have experience using R or Python or can easily leverage their experience with other tools to become experts in those

  • Immuta's Data Platform
  • Python, Pandas, PySpark
  • Various Machine Learning Frameworks
  • Snowflake
  • Databricks

  • Proficiency in at least one programming language and associated libraries suited to data science, preferably Python or R,
  • A strong statistics and math background
  • Experience in statistical risk management
  • Understanding of privacy and working in regulated environments
  • Independent research experience
  • Experience developing proof of concept software

At Immuta, our goal is to help bridge the gap between personal and professional growth, so that our team members can be well and thrive personally and professionally. After all, great professional success stories rarely happen without great personal success stories! Our generous benefits package includes:

  • 100% employer paid Healthcare (Medical, Dental, Vision) premiums and deductibles for you and your dependents (including Domestic Partners)
  • 100% employer paid mental wellness platform for you and your dependents
  • Stock Options
  • Wellness perks (100% employer paid Whoop fitness band and subscription)
  • Paid parental leave (Both Maternity and Paternity)
  • Unlimited Paid time off
  • Learning and Development Resources


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