Lead Data Scientist

4 months ago

Houston, United States Harnham Full time

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

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