McLane is looking to solve business problems by leveraging data science to improve search, ranking, and recommendation systems, and to establish standardized processes for scalable, production-grade solutions.
Requirements
- Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems.
- Expert knowledge in and ability to demonstrate hands-on capabilities with the following: Statistical and machine learning techniques.
- Expert knowledge in and ability to demonstrate hands-on capabilities with the following: Data Science libraries in programming or scripting language Model deployment.
- Expert knowledge in and ability to demonstrate hands-on capabilities with the following: Machine learning workflows.
- Proficient in Python + related ML libraries and frameworks (Ex: PyTorch).
- Proficient in SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks).
Responsibilities
- Lead, research, strategize, design, implement, document and communicate Data Science initiatives end-to-end, from incubation to deployment.
- Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that deliver business benefits.
- Facilitate the delivery of enterprise wide, production grade, and accurate data science products by establishing and standardizing tooling and process frameworks for standard methodologies.
- Investigate the design and performance of models and fine tune as necessary.
- Work closely with business stakeholders and product managers to develop and deploy solutions with cross-functional support
- Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking.
- Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org.
Other
- MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND three years minimum of experience as a data scientist in Logistics or Retail.
- 7 or more years’ experience in data science. Two or more years’ experience as a data scientist in eCommerce, Supply Chain or Logistics.
- 3 or more years’ experience in leading data scientists.
- Excellent communication and presentation skills (to both technical and business audiences).
- Exceptional leadership and communication skills, with the ability to effectively collaborate with cross-functional teams, present findings to senior teams, and drive a data-driven culture within the organization.
