Applecart: Lead Data Scientist
Midtown Manhattan
New York, NY 10018

Employee Testimonials

About the Role:

As a Lead Data Scientist at Applecart, you will have the opportunity to lead data scientists across two high velocity product lines that leverage both prediction and recommendation systems to deliver value to our clients and consumers.

This role is part individual contributor, part manager where you’re responsible for designing and implementing production-grade data products, while leading and mentoring a team of 3+ data scientists. Your work will inform both the advertising outcomes for our enterprise clients, as well as, the experience of the consumers and success of the brands on our marketplace.

Qualifications:

  • 5+ years of professional data science experience
  • Expertise building data products from scratch
  • Proven track record leading multiple mid-level data scientists (with 2+ years experience), providing technical guidance and modeling best practices in engineering
  • Expert knowledge with recommendation systems and supervised learning
  • Superior ability to write high quality code (OOP, unit tests, decorators etc)
  • Experience developing, monitoring and maintaining consumer facing data products
  • Ability to prototype quickly with close-to-production quality code
  • Skilled in communicating highly technical content to a nontechnical audience
  • Expert in Python, knowledge of major machine learning tools (Scikit Learn, Recommendation Systems, Tensorflow etc), Version Control, PostgreSQL and SQLAlchemy or equivalent technologies

Preferred Qualifications:

  • Previous experience building large data science products from scratch and maintaining through the entire software development lifecycle at a growth-stage startup
  • Startup experience (or equivalent ability to deliver despite ambiguous requirements)
 
Full-time

Why We Work Here

Danny Vilela
Data Scientist

"At Applecart, no two problems are the same. As data scientists, this means we take inspiration from cutting-edge research, prototype minimum viable solutions, and design custom implementations that are performant at scale. Our culture is incredibly collaborative and strongly encourages growth, so we’re always trading ideas with and receiving constructive criticism from other data scientists and engineers."

D. Clay Hambrick, PhD
Senior Software Engineer & Architect

"At Applecart, I get to work every day right at the intersection of data engineering and data science: architecting and coding scalable data pipelines while making dozens of data-driven decisions around data schemas, feature engineering, entity resolution and more. Coming from Google, I appreciate the dynamic, fast-paced startup culture and the high level of autonomy & ownership I have over my work."