As one of the fastest-growing logistics service companies, NTG is all about excellence, integrity, and teamwork . Our service is top-notch because we have developed a high-energy, team-driven mentality across the organization that is committed to servicing our customers, shippers and carriers alike, in an ever-evolving supply chain.

The Data Science & Innovation department is a core component in the future growth of NTG. We work in collaboration with Sales, Operations, IT, and senior leadership at NTG to execute on strategy that drives both volume and profit growth. We are seeking an experienced Data Science professional with a passion to model complex business problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining, simulation and visualization techniques to join the Data Science team in our growing Data Science & Innovation department.

As a data scientist, you will play a key role in designing NTG's leading innovative products and service portfolio in the context of its broader competitive strategy. You will do this by conducting statistical analysis, proposing supply chain solutions, developing machine learning methodologies, and contributing to a variety of research activities. Primary responsibilities will also include suggesting new innovative research approaches and exploring relevant evolving technologies to achieve a defined objective on the company's roadmap and identify opportunities to create more value for our customers.

Roles & Responsibilities:

• Creating, designing and prototyping out next-generation machine / deep learning technologies in the areas of supply chain operations (tactical and strategic)
• Designing and developing effective data science models and algorithms involving user activities and interests, pattern recognition, trends
• Understand the business questions and transform them into impactful projects
• Design and run experiments to collect relevant data and think creatively to find the optimal solutions
• Ability to process and handle large structured and unstructured data sets efficiently
• Expert in advanced statistical analysis to identify trends and patterns within the data
• Monitor the products over time and build dashboards to evaluate performance
• Develop readable and reusable production code and deliver end-to-end solutions
• Contribute as a team player and collaborate with technical and business teams
• Explore innovative and emerging technologies in machine learning and AI

Preferred Skills & Qualifications:

• M.S. or Ph.D. in quantitative discipline (Math, Statistics, Computer Science, Operations Research, Engineering)
• Strong statistical analysis, programming, and modeling skills
• 3+ years of experience in the area of machine learning with hands on experience on core data science libraries (e.g. numpy, pandas, scikit-learn, Keras, etc.)
• Strong programming skills in Python and R
• Proficient experience in writing SQL queries and mining large datasets
• Experience in data visualization tools such as matplotlib and Tableau
• Strong passion and awareness of the emerging technology paradigms
• Hands on experience in Microsoft Azure
• Preferred experience in Natural Language Processing (NLP)
• Experience in distributed ML frameworks e.g. TensorFlow and PyTorch
• Some experience in big data technologies e.g. Spark

Characteristics of our team:

• High standard and high-quality learning opportunity
• Dedicated to support new members
• Opportunity to lead a project and grow a successful career path
• Good work/life balance.
• Collaborating with cross-functional teams

Our Benefits:

NTG provides a competitive, comprehensive, performance-based compensation package for our full time employees:

• Competitive benefits
• Life / AD&D Insurance
• 401(k) with Company Matching
• 12 days of Paid Time Off, 3 sick days, 7 paid holidays

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EEOC/ADA STATEMENT:

We are an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, gender, sexual orientation, age, religion, disability, veteran, or any other status prohibited by applicable national, federal, state or local law. In an effort to recruit, develop and retain top talent, we are committed to a policy of nondiscrimination in all personnel practices to ensure equal opportunity for employment, promotion, and training for a more inclusive workforce.