Software Engineer II (Data Science)

Teikametrics is a leading maker of e-commerce AI. We help independent brands (both large and small) optimize their advertising, forecast demand, detect product issues and maximize overall profitability. While still at startup size (<150 employees), the company has significant annual-recurring-revenues, and has recently raised a Series A investment to fuel growth. Teikametrics is on target for over 100% revenue growth for its second year in a row.  

Over 50% of all e-commerce sales are by independent, third-party sellers. The majority of these sellers are flying blind with nothing but basic spreadsheet software with which to manage their business. Our AI helps these sellers by providing deep performance analytics at a product level, as well as support for complex decision-making through a combination of econometrics and machine-learning.

Teikametrics offers competitive compensation and our benefits include a matching 401(k) plan, quarterly bonuses, unlimited vacation, and stock options. Our culture emphasizes a sustainable work-life-balance and creativity rather than long-hours, and our team is organized to provide a high level of support and 1:1 mentorship for developers at every level. 

About the Role
Teikametrics is looking for a Data Science Engineer with strong software engineering fundamentals and a background in statistical mathematics. Candidates should have an interest in the software engineering challenges of Data Science associated with getting models to production at scale. These include feature engineering, model deployment, training, validation, and monitoring. 

The Data Science team's predictive services are developed in Python on top of AWS Sagemaker, orchestrated by 
Airflow and backed by a Snowflake data warehouse. Our back-end code emphasizes a ‘functional-first’ Scala stack 
with cats and fs2, powering a front-end that uses TypeScript with React and Redux

Qualified candidates should have:
  • 3+ years of experience working as a professional software developer. 
  • Experience with one or more of the following ML techniques: Bayesian modeling, time series analysis, embeddings, reinforcement learning, constrained optimization
  • Proficiency with Python and Python ML libraries (e.g. numpy/scipy/pandas, Tensorflow, etc.). Additional experience with 'functional first' programming in Scala, Haskell, Clojure, etc. preferred. 
  • Knowledge of databases and experience with writing code that interfaces with the database layer. Strong SQL/RDBMS experience required; experience with NoSQL databases desired.
  • Experience writing well designed and testable code, and writing effective unit and integration tests.
  • Passion for learning and growing as a developer with the goal of one day mentoring others
  • A desire to work in a collaborative environment focusing on continuous learning; participating in tech talks, code review, and some pair programming.

Want to apply later?

Type your email address below to receive a reminder

Apply to Job

ErrorRequired field
ErrorRequired field
ErrorRequired field
ErrorRequired field
ErrorRequired field