Data Scientist V, Wallet Authorization and Profiles

Role Overview

ID.me is looking for a Data Scientist V with a background in user profiles and authorization.By filling this role, ID.me will be equipped to manage the growing complexity of data interactions and member expectations effectively. The Data Scientist V will play a critical role in enhancing the security, usability, and personalization of the ID.me platform, driving increased satisfaction and engagement among members and partners. This position will be pivotal in transforming ID.me into a trusted, centralized service for identity and data management across the digital landscape.

Responsibilities

• Data Analysis and Integration: 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, ensuring data integrity and relevance in real-time during member authentication processes.
• Machine Learning and Predictive Modeling: Design and deploy machine learning models to predict member data changes, such as address or contact information updates. Use predictive analytics to anticipate member needs and reduce friction in updating and authorizing data across multiple platforms.
• Data Quality Assurance: Implement robust data validation and cleansing techniques to ensure the accuracy and quality of data used across the network. Continuously monitor data quality metrics and develop automated systems to correct inconsistencies and errors in real-time.
• Profile Management Innovation: Lead initiatives to create dynamic member profiles that align with various use cases and contexts, enhancing personalization and relevance of data. Work closely with the UX team to integrate these profiles into partner authentication screens and ID.me's own interfaces effectively.
• Cross-functional Collaboration: Collaborate with technical teams, product managers, and business stakeholders to enhance the ID.me platform's functionality, focusing on data governance and the secure sharing of sensitive information. Ensure that all data handling complies with relevant regulations and ethical standards.
• Data Governance and Strategy: Develop and oversee data governance policies that support scalable, secure, and efficient data operations. Advise on the strategic use of data and analytics to drive business decisions and improve the member experience.
• Provide technical guidance, mentorship, coaching and/or training to junior Data Scientist

Qualifications

The qualifications below are ideal, but not all are required.  We encourage candidates to apply if they satisfy some, but not all of the qualifications.

• 8+ 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 
• Experience with  SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc. 
• Experience with Recommendation algorithms & one or more deep learning libraries
• Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured
• Experience in developing, managing, and manipulating large, complex datasets
• Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
• 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

Ideal candidate will thrive in the following culture:

• 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

Note that candidates must be located in the continental U.S.

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