Data Scientist V, Marketplaces Personalization (Remote)

United States (U.S.)

Full Time Senior-level / Expert USD 68K - 135K *
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ID.me

ID.me simplifies how individuals share and prove their identity online. ID.me's next generation platform facilitates identity proofing, authentication, and group affiliation verification for over 500 organizations.

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Company Overview

ID.me simplifies how people securely prove and share their identity online. The company empowers people to control their data through a portable and trusted login, which means they don’t need to create a new password when visiting sites that have the ID.me button.

The COVID-19 pandemic accelerated digital migration for many critical services. Those services require a trusted identity to safeguard against fraud and help ensure people are who they claim to be. With ID.me, login and identity credentials move with people, which can reduce the time and frustration of having to verify at multiple sites and set up multiple passwords.

ID.me is a credential service provider compliant with federal standards for digital identity verification. 

In addition to helping people control their credentials and data, the company’s “No Identity Left Behind” initiative strives to expand access and inclusion for all people. The company offers multiple pathways to verification – online self-serve, live video chat agents, and in person. ID.me is passionate about building a robust identity network that does not compromise access for traditionally underserved groups.

Role Overview

ID.me is looking for a Data Scientist V with a background in personalization to join our Marketplaces team. In this role, you will lead building our next-generation recommendation models driving unique and personalized member experience across all ID.me products and services. You will work closely with cross functional teams, including product, data, operations and senior leadership to develop and drive world class personalization products for ID.me members. If you are data-driven, results-oriented, and eager to help solve data problems of varying complexities, then this would be the perfect opportunity for you.

Responsibilities

  • Partner with leadership and stakeholders to develop personalization products for ID.me members
  • Design experiments, test hypotheses, and build data models
  • Work with data team to identify and analyze patterns  
  • Recommend and test new analytics algorithms and models 
  • Educate the organization on new analytical approaches to drive business decisions
  • 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.

 

ID.me Covid Vaccination Requirement

All current and future employees are required to receive their COVID-19 vaccinations, unless a reasonable accommodation is approved. Employees not in compliance with this policy will be placed on leave and will be terminated if no valid reason for not getting the COVID-19 vaccine is provided.  

Purpose: In accordance with ID.me's duty to provide and maintain a workplace that is free of known hazards, we are adopting this policy to safeguard the health of our employees and their families; our customers and visitors; and the community at large from COVID-19 that may be reduced by vaccinations. This policy will comply with all applicable laws and is based on guidance from the Centers for Disease Control and Prevention and local health authorities, as applicable.

Reasonable Accommodation: Current and future employees in need of an exemption from this policy due to a medical reason, or because of a sincerely held religious belief must submit a completed Request for Accommodation form to the human resources department to begin the interactive accommodation process as soon as possible after vaccination deadlines have been announced (September 13th) and an offer of employment has been made. Accommodations will be granted where they do not cause ID.me undue hardship or pose a direct threat to the health and safety of others.

 

Vision: To be the world's leading digital identity network empowering people to control their own information and to prove their credentials across all channels: online, call center, and in-person.

Mission: To make the world a more trusted place by delivering the highest level of security with the least amount of friction at the lowest possible cost.


People: 
We have an audacious mission. We aim to fix the identity layer of the internet. Billions of people will live better lives with more trust and convenience thanks to ID.me. We are like Special Forces. We take on the most difficult challenges with amazing teammates. 

ID.me Core Values: *Don't be a jerk. *Always compete. *Ask questions like a 5-year old. *Inspire people with your passion. *Make something better every day. *Treat each customer like your favorite family member. *Own your mistakes so you can learn from them. *Details are everything. *Communicate like a scientist. *Be truthful (even when it's hard). *Reflect ID.me's values in your actions. *Act like an owner.

ID.me Career Site & Culture Deck: https://www.id.me/careers

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.   #LI-RL1 #LI-REMOTE

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Deep Learning Engineering Machine Learning NumPy Pandas Python Scikit-learn Security SQL

Perks/benefits: Career development Health care Medical leave Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  11  3  0
Category: Data Science Jobs
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