NextPort.AI · 1 week ago
Data Scientist – Mid Level
NextPort.AI is a leading global infrastructure advisor specializing in planning and design of facilities that shape coastlines and harbors. They are looking for a Mid Level Data Scientist to perform exploratory data analysis and develop machine-learning models to drive data-informed decisions within a collaborative, high-energy team.
Logistics & Supply Chain
Responsibilities
Perform exploratory data analysis (EDA) to uncover patterns, anomalies, and actionable insights
Design, develop, and evaluate machine-learning models (e.g., regression, classification, clustering, time series)
Conduct feature engineering, model selection, and hyperparameter tuning
Validate models using appropriate metrics and ensure robustness and interpretability
Translate business problems into data science workflows and solutions
Communicate findings through clear visualizations, reports, and presentations
Collaborate with data engineers, software engineers, and domain experts to develop models
Contribute to best practices in coding, experimentation, and documentation
Qualification
Required
4 to 6 years of professional experience (post Master's degree) as a Data Scientist, Machine Learning Engineer or in a closely related role; required
Minimum of a Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field; required
Strong proficiency in Python (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras matplotlib/seaborn); required
Solid understanding of statistics, probability, and machine-learning algorithms; required
Hands-on experience performing structured EDA on real-world, messy datasets; required
Experience in ML lifecycle tools (e.g., MLflow, Airflow, Docker); required
Proficiency working with SQL and relational databases; required
Ability to explain complex analytical results in a clear, business-focused manner; required
All new hires will be required to successfully complete and pass a pre-employment (post offer) background check in compliance with NIST 800-171
Moffatt & Nichol uses E-Verify and employment is contingent upon the legal ability to obtain employment in the U.S. and to present the required documentation at hire
Preferred
Experience with model deployment or production ML workflows; desired
Familiarity with cloud platforms (Azure or AWS); desired
Experience with Databricks; desired
Experience with time-series data, forecasting, or optimization problems; desired
Domain experience in infrastructure, engineering, logistics, or operations; desired
Ability to work independently and part of a group with the willingness to learn and grow
Relocation assistance is not provided for this position; California residents preferred
Benefits
Enjoy low-cost employee healthcare with our company-paid high-deductible medical, dental, and vision plans
Family coverage is available
Low-deductible plan available
Generous HSA match to help manage healthcare expenses
Stay energized with our amazing Wellness Program (with financial incentives) to keep you healthy and fit
Features include: monthly one-on-one sessions with nutritionists, access to a Healthwise Pharmacist, mindfulness apps like The Calm and BetterHelp, and more
Free and confidential Employee Assistance Programs for counseling and support
Generous Paid time off (15 to 25 days based on experience level), Paid Holidays (7), and a floating holiday
401(k) match to help you reach your financial goals
Excellent Life Insurance coverage, fully paid by the company
You may also have the option to further your education with our comprehensive Tuition Reimbursement Program
Plus, there are plenty of training opportunities, a Leadership Development Program, a formal Mentoring program, an active YP (Young Professionals) group, and so much more
And because we care about all members of your family, we offer Pet Insurance to look after your furry friends
Company
NextPort.AI
As the Technology & Innovation brand of Moffatt & Nichol, NextPort.AI brings a practical R&D approach to introduce artificial intelligence at ports & terminals: we connect processes, systems, data, and people into effective digital transformation to realize technology evolution and change management.
Funding
Current Stage
Early StageCompany data provided by crunchbase