Staff Data Scientist - Wallet Authorization and Profiles

About the Role

Key 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, ensuring data integrity and relevance in real-time during member authentication processes.
• 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.
• 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.
• 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 interfaces.
• Collaborate with technical teams, product managers, and business stakeholders to enhance platform functionality, focusing on data governance and secure sharing of sensitive information.
• 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 training to junior Data Scientists.

Requirements

• 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.
• 1+ years of experience working with SQL and Python.
• Experience with using ML libraries such as pandas, numpy, sklearn, scipy, etc.
• Strong background in Statistics.
• Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured.
• Ability to work independently and autonomously, as well as part of a team.
• Excellent storytelling and problem-solving abilities.
• Strong oral and written communication skills.
• Must be able to work in one of the hub locations (McLean VA or Mountain View CA).

Nice to Have

• Experience developing, managing, and manipulating large, complex datasets.
• A data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities.
• Ability to thrive in a culture that values building quality products, adaptability to changing priorities, and continuous learning.

Qualifications

• BS/MS in Data Science or a related field.
• 7+ years of experience in data science.

Benefits & Perks

• Comprehensive medical, dental, and vision insurance.
• Health savings account, flexible spending accounts.
• Basic and voluntary life and AD&D insurance.
• 401(k) with company match.
• Parental leave and unlimited paid time off (subject to policy).
• Eight company-wide holidays.
• Short and long-term disability insurance.
• Accident and critical illness insurance.
• Referral bonus policy, employee assistance program, pet insurance.
• Travel assistant program, wellbeing and childcare discounts.
• Learning and development benefits.