Lead Data Scientist

Company Description:

Our client operates in the automotive/retail/ supply chain space and is seeking a Lead Data Scientist with heavy logistics and supply chain industry experience. A background in working with logistics and supply chain data, as well as working on end-to-end data science projects is important for this position.

Role Description:

• Translate business needs into analytics/reporting requirements for data-driven decisions.
• Stay updated with the latest data science techniques and technologies, implementing innovative solutions to enhance data analysis and modeling capabilities.
• Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences.
• Manage use case design and build teams, providing guidance as they develop and operationalize data science models.
• Ensure analytical insights and products are integrated into business processes.
• Guide and approve analytics/modeling approach, model deployment requirements, and quality assurance standards.
• Provide input to the long-term plan for the Data Science team, focusing on talent acquisition and technology platforms.
• Foster a culture of innovation and continuous improvement, exploring and adopting new data science technologies and methodologies.
• Work with business and technical stakeholders to identify new technologies and opportunities that deliver measurable business value.
• Own the analytics solution portfolio, including model maintenance and improvements over time.

Skills and Experience:

• Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or related field, with 7+ years experience in a data science or similar role
• Industry experience working with logistics and supply chain data
• Strong proficiency in Python and SQL
• Extensive knowledge and working experience with Machine Learning libraries/frameworks, and data processing/visualization tools. (PyTorch, Tensorflow, NumPy, etc.)
• Strong communication skills with experience presenting to stakeholders and breaking down technical topics to non-technical team members
• Experience with cloud computing environments (AWS, Azure, GCP) and Data/ML platforms (Databricks, Spark)
• Recent leadership experience with direct reports
• Good understanding of programming best practices and building highly automated CI/CD pipelines