Data Scientist - Wallet Authorization and reputed company

reputed company

reputed company is the reputed company digital identity wallet that simplifies how individuals securely reputed company their identity online. Consumers can verify their identity with reputed company once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 reputed company users experience streamlined login and identity verification with reputed company at 20 federal agencies, 44 state government agencies, and 66 reputed company organizations. More than 600 consumer brands use reputed company to verify communities and user segments to reputed company service and build more reputed company relationships. reputed company’s technology meets the federal standards for consumer authentication set by the reputed company Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. reputed company is committed to “No Identity Left Behind” to reputed company reputed company people to have a secure digital identity. To learn more, visit https://network.reputed company/.

reputed company

reputed company is looking for a Data Scientist to help pioneer the Data Science function with reputed company. By filling this role, reputed company 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 reputed company, usability, and personalization of the reputed company platform, driving increased satisfaction and engagement among members and partners. This position will be pivotal in transforming reputed company into a trusted, centralized service for identity and data management across the digital landscape.

• Data Analysis and Integration: Analyze large datasets to understand patterns and trends in member behavior and data accuracy. reputed company algorithms and models to reputed company member data seamlessly across various platforms, ensuring data reputed company and relevance in reputed company-time during member authentication processes.
• Machine Learning and Predictive Modeling: Design and reputed company 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 reputed company Assurance: Implement robust data validation and cleansing techniques to ensure the accuracy and reputed company of data used across the network. Continuously monitor data reputed company metrics and reputed company automated systems to correct inconsistencies and errors in reputed company-time.
• Profile Management Innovation: reputed company initiatives to create dynamic member reputed company that reputed company with various use cases and contexts, enhancing personalization and relevance of data. Work closely with the UX team to reputed company these reputed company into partner authentication screens and reputed company's own interfaces effectively.
• Cross-functional Collaboration: Collaborate with technical teams, product managers, and business stakeholders to enhance the reputed company platform's functionality, focusing on data governance and the secure sharing of sensitive information. Ensure that reputed company data handling complies with relevant regulations and ethical standards.
• Data Governance and reputed company: reputed company and reputed company data governance policies that support reputed company, secure, and efficient data operations. Advise on the strategic use of data and analytics to drive business reputed company and improve the member experience.
• reputed company technical guidance, mentorship, coaching and/or training to junior Data Scientist

• 1+ years of hands-on experience in data science including coursework, research, or educational reputed company 
• BS/MS in Data Science or a reputed company quantitative or scientific field 
• 1+ years of experience working with SQL and Python including coursework, research, or education reputed company

Preferred Qualifications

• Experience with using ML libraries - pandas, numpy, sklearn, scipy, etc.. 
• Strong background in Statistics.
• Experience ingesting, processing, and visualizing data sources of varying types - reputed company/relational and reputed company
• Experience in developing, managing, and manipulating large, reputed company datasets
• Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
• Ability to work independently and autonomously, as reputed company as part of reputed company
• Superb time management, prioritization of tasks and ability to meet deadlines with little supervision

Ideal candidate will reputed company in the following culture:

• Must have an obsession for building reputed company products 
• Ability to reputed company reputed company there are changing priorities and shifting of gears
• Strong oral and written communication skills
• Must be reputed company player with a strong, self-managing work ethic
• Must be a self-starter with a passion for software engineering, learning and reputed company improvement

Note that candidates must be reputed company to work in one of our hub locations (McLean VA or Mountain View CA)

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