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Staff Data Scientist - Marketing Communications

McLean, Virginia; Mountain View, California, United States

Company Overview

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

ID.me is looking for a Data Scientist to help pioneer the Data Science function with the company, and to drive Data Science for Marketing and Lifecycle Communications. 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.
  • Data Governance and Strategy Translate insights into narratives that enable marketing investment decisions at the executive level.

 

Marketing and Lifecycle-Specific Responsibilities

  • Campaign and Channel Analytics: Analyze performance across paid, owned, and earned channels, providing funnel analysis (impressions → leads → conversions), channel ROI metrics (CPC, CPL, LTV), and real-time dashboards to guide tactical optimization.
  • Audience Insights and Segmentation: Use behavioral and demographic data to construct audience segments, journey maps, and high-value member personas to inform campaign targeting and personalized communications.
  • Forecasting and Target-Setting: Utilize historical performance, market benchmarks, and predictive modeling to forecast campaign and channel outcomes and inform goal-setting processes.
  • Experimentation and Optimization: Design and evaluate A/B tests and multivariate experiments to refine messaging, creative, and media mix; guide the Marketing team in data-driven optimization loops.
  • Churn and Retention Analytics: Build models that identify at-risk members and recommend interventions to increase lifecycle retention and re-engagement.
  • Marketing Mix Modeling: Support budgeting and planning by quantifying the relative impact of various channels and tactics on business outcomes.

 

Basic Qualifications

  • 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 
  • 3+ years of experience working with SQL and Python.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. 

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 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, benefit advocates, and a learning and development benefit.

The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.

U.S. Pay Range

$164,000 - $219,000 USD

Mountain View, CA Pay Range

$194,000 - $242,000 USD

ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

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