McLane Company, Inc. · 4 months ago
Data Science Director
McLane Company, Inc. is a leader in the distribution industry, committed to innovation and teamwork. They are seeking a Data Science Director to lead data science initiatives, build machine learning models, and mentor a team of data scientists while collaborating with business stakeholders to implement data-driven solutions.
Transportation/Trucking/Railroad
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
Build team of data scientists and provide mentorship to less experienced data scientists
Educate our business and engineering partners across the organization on data science concepts (e.g., statistics, machine learning)
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
Effectively communicating your insights and plans to cross-functional team members and management
Perform other duties as assigned
Qualification
Required
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
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
Data Science libraries in programming or scripting language Model deployment
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)
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
This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role
Preferred
MS Azure or Fabric experience/knowledge a plus
Benefits
Medical, dental, and vision insurance
FSA/HSA
Company-paid life insurance
Paid time off begins day one.
401(k) Profit Sharing Plan after 90 days.
Pet insurance
Maternity/paternity leave
Employee assistance programs
Discount programs
Tuition reimbursement program
And more!
Company
McLane Company, Inc.
McLane Company, Inc.
H1B Sponsorship
McLane Company, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (9)
2023 (8)
2022 (8)
2021 (2)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-04-07
2024-04-07
2024-02-19
Company data provided by crunchbase