Data Scientist jobs in Middlesex, NJ

Company Description

"We're not in the shipping business; we're in the information business."  -Peter Rose, Expeditors Founder

At the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. Global supply chain management is what we do, getting goods from one place to another for our customers, but information is how we do it and do it the best! We are a Global company based in the United States with…

• 18,000 trained professionals
• 350 locations worldwide across 60 Countries
• Fortune 500
• Globally unified systems

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:

1. Break down complex problems, identify relevant data and methodologies, and develop innovative solutions.
2. Convey complex insights to non-technical stakeholders and collaborate with cross-functional teams.
3. 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

The position requires daily commuting to the office with 26 days of remote work opportunities per year.

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

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.