- Develop and deploy automated large-scale ETL pipelines that power state of the art recommendations algorithms
- Collaborate with other data scientists in the team to assist in building AI (ML / Deep Learning) models, iterating on new experimental ideas, and building statistical approaches to evaluate model performance
- Manage unit testing and integration testing frameworks using pytest to ship bug-free code
- Build and maintain dashboards in GCP, Databricks, etc. to monitor the health of the deployed recs systems
- Collaborate with non-technical teams such as Product and brands to translate model performance improvements into potential business impact
- Advanced proficiency using SQL, Python, and Spark for designing and maintaining data pipelines for model training and inference, with a focus on writing production-quality code
- Keen interest to work cross-functionally across MLOps and Engineering to deploy models to production
- Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, visualization packages, and a track record for creating business impact with these methods
- Prior experience in applying deep learning techniques (using PyTorch and Tensorflow) and contextual bandits highly desirable
- Exposure to Azure, GCP, Databricks, Kubernetes, Cosmos, New Relic, Grafana a bonus
Top Skills
What We Do
In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands.
Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco.
Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next.
Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead.
We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.
