ID.me is looking to enhance the security, usability, and personalization of its platform, driving increased satisfaction and engagement among members and partners.
Requirements
- Strong skills in SQL and Python
- Experience with using ML libraries - pandas, numpy, sklearn, scipy, etc.
- Strong background in Statistics
- Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured
- Experience in developing, managing, and manipulating large, complex datasets
- 7+ years of hands-on experience in data science for a SaaS company or a mature startup
- BS/MS in Data Science or a related quantitative or scientific field
Responsibilities
- Analyze large datasets to understand patterns and trends in member behavior and data accuracy
- Develop algorithms and models to integrate member data seamlessly across various platforms
- Design and deploy machine learning models to predict member data changes
- Implement robust data validation and cleansing techniques to ensure the accuracy and quality of data
- Lead initiatives to create dynamic member profiles that align with various use cases and contexts
- Develop and oversee data governance policies that support scalable, secure, and efficient data operations
- Provide technical guidance, mentorship, coaching and/or training to junior Data Scientist
Other
- Ability to work independently and autonomously, as well as part of a team
- Superb time management, prioritization of tasks and ability to meet deadlines with little supervision
- Must have an obsession for building quality products
- Ability to thrive when there are changing priorities and shifting of gears
- Strong oral and written communication skills
- Must be a team player with a strong, self-managing work ethic
- Must be a self-starter with a passion for software engineering, learning and continuous improvement
- Must be able to work in one of our hub locations (McLean VA or Mountain View CA)
