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Wade and Wendy AI: Sr. Data Scientist


Wade & Wendy is a newly funded, VC backed company that’s bringing artificial intelligence / machine learning to the recruiting / HR space with the mission of making the process more human for both applicants and hiring managers.



Wade and Wendy
Company: Wade and Wendy
Location: New York City, NY
Web: wadeandwendy.ai
Position: Sr. Data Scientist

_Contact_:
Email to c4c121bd4d09@apply.breezy.hr.

About Wade & Wendy

Wade & Wendy is a newly funded, VC backed company that’s bringing artificial intelligence / machine learning to the recruiting / HR space with the mission of making the process more human for both applicants and hiring managers.

Our company is named after our two artificially intelligent personalities: Wade and Wendy. Wade helps applicants discover meaningful and relevant opportunities. Wendy assists hiring managers with filling open roles. Designed for the most frictionless experience, Wade and Wendy exist on popular messaging platforms; all interactions take place through chat.

The Role

As part of the early engineering team, you’ll be instrumental in developing our artificially intelligent user experience and matching algorithms. You will integrate data from web sources, real-time adaptive questioning, and human-intelligence, to develop algorithms that create smart relationships across a variety of organizational entities.

Culture is important to us, so you should be highly collaborative and confident, yet humble and empathetic.

Responsibilities:

  • Gather and parse structured as well as unstructured data and organize it in a graph database
  • Statistical analysis of data sets of any size derived from social media and business APIs, web scraping and munging.
  • Extraction and analysis of unstructured textual sources such as company websites, e-mails, PDF attachments and other free-form sources.
  • Developing and improving organizational relationship matching algorithms
  • Developing and improving real-time adaptive questioning systems to complement and improve the accuracy of our matching algorithms.
  • Programmatically adding data to and manipulating data from a graph-based database system.
  • Must stay up-to-date with new methods and have the ability to pick up new languages and techniques rapidly.
  • Maintaining graph, SQL/NoSQL databases in production environments.
  • Helping back-end software engineers include developed methods in existing or future pipelines and applications.
  • Showcase and integrate research into existing and future pipelines

Qualifications:

  • 2+ years statistics/machine learning
  • 2+ years concurrent software development
  • Post-academic, real-world experience bringing several public-facing production projects and pipelines to completion
  • Extensive experience with NER and/or semantic web technologies
  • Ideally, previous work experience in online dating industry or a company focusing on matching people to people or people to businesses
  • Portfolio of code examples

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