About Teikametrics:

There has never been a more exciting time to join Teikametrics, the leading Retail Optimization Platform (ROP). We’re building an operating system to optimize every aspect of a retailer's business -- from advertising to inventory to pricing. We optimize billions of transactions for thousands of entrepreneurs and brands around the world selling on Amazon and other marketplaces. The Teikametrics ROP uses proprietary econometrics and machine-learning data models packaged in a simple SaaS interface. We combine our best in class technology with coaching and support from our world-class teams based in Boston, MA, Seattle, WA and Bengaluru, India. We are looking for people who can excel, add value to our mission, and thrive in a demanding start-up environment.

About the Role:

Teikametrics is looking for a Technical Lead to build a team under the Data Science directorate tasked with building the prediction and control services that comprise our E-commerce AI. Candidates should have strong mathematical fundamentals, experience authoring statistical models for operation in a scalable, no-touch environment, good software engineering fundamentals, and management skills for operating a small team. The Data Science team's predictive services are developed in Python on top of AWS Sagemaker, orchestrated by Airflow and backed by a data warehouse in Snowflake. Our back-end code emphasizes a ‘functional-first’ Scala stack with cats and fs2. The team's mandate is to provide hardened prediction and control services to our sellers that solve the multi-agent, game-theoretic problems at the heart of decision-making in E-commerce. Additionally, this team will produce scientific materials geared toward helping sellers understand the utility and power of Teikametrics' data assets in the context of running their businesses.

Qualified candidates should have:

• 6+ years of experience working as a professional software developer or data scientist, 2 of which may be graduate-level work in a hard science.
• Strong Python with experience using some subset of the Python ML ecosystem (numpy/scipy/pandas, Tensorflow, etc.).
• Strong SQL. * Strong research skills; searching, reading, distilling literature on AI-related topics.
• Graduate-level mathematics, esp. probability and linear algebra.
• Experience choosing and writing machine-learning models for deployment at scale.
• Familiarity with one or more of: generative statistical models, reinforcement learning, game theory, control, or related field.
• Desire to lead a team and mentor its members.
• Desire to work in a collaborative environment focusing on continuous learning; participating in tech talks, code review, and pair programming.

It's a bonus to have:

• Experience operating a system that takes automated actions entailing monetary risk.
• Experience with any of: AWS, Kubeflow, Databricks, Spark, Snowflake.
• An interest in learning functional programming, or experience therewith.
• Experience training reinforcement learning agents using modern tools.