Target Data Sciences is looking to hire a Sr Data Scientist to help develop and manage state-of-the-art predictive algorithms that use data at scale to automate and optimize decisions for the merchandising organization.
Requirements
- Experience developing, testing and maintaining large codebases in a collaborative environment while meeting industry best practices - including implementing and working with CI/CD pipelines (i.e. Docker, Kubernetes, etc.)
- Demonstrated knowledge of mathematical and statistical concepts, data structures, algorithm design, data analysis, optimization, simulations and visualizations applied to business problems at scale
- Good working knowledge of Python for Machine Learning, including supervised and unsupervised methods and their applications
- Extensive experience with ML Ops, deploying solutions with large-scale impact
Responsibilities
- design, develop, deploy, and maintain data science models and tools
- collaborate with product and engineering partners on peer teams to build and productionize enterprise merchandising solutions
- modeling and data science
- software/product development of highly performant code for Model Performance
- apply retail domain knowledge
- cleaning, transforming and analyzing large datasets for insights leading to business improvements
- developing, testing and maintaining large codebases in a collaborative environment while meeting industry best practices
Other
- PhD/MS in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience
- 3 plus years of experience cleaning, transforming and analyzing large datasets for insights leading to business improvements - preferably in retail data
- Self-driven and results-oriented, with the ability to meet tight timelines
- Strong team player with the ability to collaborate across geographies/time zones
- Excellent written and verbal communication skills
