Senior Data Scientist at Candid Co.
New York City, NY, US
About Us
Candid™ is helping people get the smiles they always wanted at prices they can afford. By simplifying the process (direct-to-consumer) and reducing costs (by up to 65% less), we can help more people feel confident and healthy. We believe that high quality dental care should be affordable and accessible, and we're using teledentistry to facilitate the diagnosis and treatment of orthodontic patients. Our team includes startup veterans with experience across healthcare, hospitality, tech, and finance at companies such as Lyft, Squarespace, WeWork, Blue Apron, and Clover Health.
We are looking for a Data Scientist to join the Candid™. team to join at the ground-floor level as our first full-time data employee. In this role, you will be responsible for defining the most important metrics in our company, building and leading the data team, promoting the standardized use of those metrics across our teams, performing complex analysis to drive business outcomes, and fostering our data-driven culture. You will work highly cross-functionally and with the entire leadership team. 
We are a data-driven company; in addition to your functional work, you will be the steward of that culture, making sure we continue to let the data guide our strategy within our ambitious vision.
What You'll Do
  • Work with the leadership team to define the canonical metrics for the company
  • Hire data analysts and data engineers, define the data team KPIs, and lead the team
  • Design and create dashboards for sales, support, marketing, operations, and product
  • Empower the business by answering pressing business questions using data
  • Craft complex regressions and analyses to drive strategic business decisions and identify opportunities
  • Design statistically-sound experiments and be a steward of good experimentation

What You'll Need
  • 5+ years experience as a Data Analyst/Data Scientist
  • Strong statistical background and experiment design (i.e. decision tree, logistic regression, multiple regression, social network analyses, hierarchical regression, random forest, etc.)
  • Experience hiring and growing teams
  • Deep ability to present data to business stakeholders
  • Ability to handle complexity and ambiguity and drive clarity
  • Strong interpersonal skills
  • Experience with python (iPython, NumPy, SciPy, Pandas) 
  • Bonus points if you have experience with different data technologies (i.e. Looker, SQL, R)
  • ETL pipeline management
Pay & Perks
  • Equity in the business
  • Medical and dental insurance
  • Commuter benefits
  • Easy access to work, across the street from 4, 5, 6, L, N, Q, R, W trains 
  • A collaborative, high energy work environment 
  • You will grow a lot here. We’re committed to giving employees deep responsibility and fostering a culture of learning.