Data Scientist
Gap Inc.
full-time
Posted on:
Location Type: Office
Location: Folsom • California • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureETLGoogle Cloud PlatformGrafanaKubernetesPythonPyTorchSparkSQLTensorflow
About the role
- 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
- 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
Requirements
- Advanced proficiency using SQL, Python, and Spark for designing and maintaining data pipelines for model training and inference
- 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
- 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
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible working arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLSQLPythonSparkMLDeep Learningpytestlogistic regressiondecision treesPyTorch
Soft skills
collaborationcross-functional teamworkcommunication