We are looking for a Senior Data Scientist with at least seven years of experience implementing machine-learning models and conducting advanced data analysis for production-level systems. The ideal candidate should have a strong background in logistics, particularly in supply chain optimization or logistics network optimization. This position will support America's geography under the IS organization and is part of a department that aims to enhance the operations of over 70 offices across multip... more details
Job Description
We are looking for a Senior Data Scientist with at least seven years of experience implementing machine-learning models and conducting advanced data analysis for production-level systems. The ideal candidate should have a strong background in logistics, particularly in supply chain optimization or logistics network optimization. This position will support America's geography under the IS organization and is part of a department that aims to enhance the operations of over 70 offices across multiple countries. This role is crucial and requires working within a highly collaborative and agile team that solves business challenges using data, technology, and good old-fashioned ingenuity and works exclusively on projects with the highest potential to impact the bottom line of the Americas.
Successful candidates must be able to:
Break down complex problems, identify relevant data and methodologies, and develop innovative solutions.
Convey complex insights to non-technical stakeholders and collaborate with cross-functional teams.
Stay updated with the latest advancements in data science through self-study, workshops, and online communities.
Major Duties and Responsibilities
Develop and deploy advanced machine learning models to optimize logistics processes and improve supply chain efficiency.
Conduct thorough analysis of large-scale datasets to identify opportunities for optimization and efficiency gains.
Collaborate with cross-functional teams, including operations, engineering, and business development, to understand business requirements and translate them into actionable insights.
Lead initiatives to design and implement algorithms for route optimization, consolidation optimization, and demand forecasting.
Stay current with industry trends and best practices in logistics and supply chain management and apply them to enhance our operations.
Ensure proper architecture, engineering, and cybersecurity with all solutions.
Develop within company standards and SDLC.
Document all learnings and solutions.
Collaborates and promotes best practices within the team and department.
Support agile work processes and keep work management systems current (e.g., Azure DevOps)
Qualifications
Master's degree in computer science, statistics, mathematics, or a related field; advanced degree preferred
Minimum of seven years of experience in a data science role, with a focus on implementing machine learning models in production
Experience with querying languages (e.g., SQL)
Strong programming skills in languages such as Python, R, or Java
Experience with analytics/ML libraries (e.g., pandas, numpy, scikit-learn, PyTorch, matplotlib)
Proficient in machine learning algorithms (regression techniques, tree-based, deep learning, unsupervised learning)
Experience with data visualization tools such as Tableau or Power BI
Proficient in statistical analysis and hypothesis testing
Experience in monitoring deployed machine learning pipelines
Excellent communication skills with the ability to convey complex findings to non-technical stakeholders
Experience in logistics and supply chain optimization is highly desirable
Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic environment
Additional Information
Please review carefully:
1. Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
2. The position requires daily commuting to one of the offices referenced below, with 26 days of remote work opportunities per year.
DTW - 11101 Metro Airport Center Dr, Romulus, MI 48174, USA
DFW - 506 E Dallas Rd, Grapevine, TX 76051, USA
EWR - 150 Raritan Center Pkwy, Edison, NJ 08837, USA
LAX - 12200 Wilkie Ave suite 100, Hawthorne, CA 90250, USA
ATL - 2764 Anvilblock Rd, Ellenwood, GA 30294
ORD - 849 Thomas Drive Bensenville, IL 60106 US
Position is full time (40 hours per week) Monday through Friday. We are a business professional attire company.
Expected base salary: $125,000 - $160,000 based on location and experience
Expeditors offers excellent benefits:
USA
Paid Vacation, Holiday, Sick Time, Work from Home Time
Health Plan: Medical, Prescription Drug, Dental and Vision
Life and Long Term Disability Insurance
401(k) Retirement Savings Plan
Employee Stock Purchase Plan
Training and Personnel Development Program
Transit pass
All your information will be kept confidential according to EEO guidelines.
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