Data Scientist – Mid Level
Listed on 2025-12-28
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IT/Tech
Data Scientist, Data Analyst
About Moffatt & Nichol
Moffatt & Nichol is a leading U.S.
-based global infrastructure advisor specializing in the planning and design of facilities that shape and serve coastlines, harbors, and rivers. The firm consistently ranks in the top 100 pure designers in the U.S. and is ranked #1 in Engineering News‑Record for Marine & Port Facilities.
We are actively looking for a Data Scientist with 4 to 6 years of hands‑on experience to perform exploratory data analysis and develop machine‑learning models that drive data‑informed decisions.
Duties and Responsibilities- Perform exploratory data analysis (EDA) to uncover patterns, anomalies, and actionable insights.
- Design, develop, and evaluate machine‑learning models (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.
- 4 to 6 years of professional experience as a Data Scientist or Machine Learning Engineer.
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Engineering, or a related field.
- Strong proficiency in Python (pandas, Num Py, scikit‑learn, Tensor Flow, Keras, matplotlib/seaborn).
- Solid understanding of statistics, probability, and machine‑learning algorithms.
- Experience performing structured EDA on real‑world, messy datasets.
- Knowledge of ML lifecycle tools (MLflow, Airflow, Docker).
- Experience working with SQL and relational databases.
- Ability to explain complex analytical results in a clear, business‑focused manner.
- Experience with model deployment or production ML workflows (desired).
- Familiarity with cloud platforms (Azure or AWS) (desired).
- Domain experience in infrastructure, engineering, logistics, or operations (desired).
- All new hires will be required to successfully complete a pre‑employment 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.
Work is performed in an office setting. Ability to use standard office equipment is required. Some light or occasional travel between offices may be required.
Base Salary Range$107,000 to $131,000 based on years of experience, level of education, professional registration, and meeting the required qualifications. Salary range applicable for candidates hired and working in the California market.
Benefits- High‑deductible medical, dental, and vision plans covered by the company.
- Low‑deductible plan available; family coverage is available.
- HSA match.
- Wellness program with financial incentives, nutritionist sessions, healthapps, and more.
- Employee Assistance Program.
- Paid time off 15 to 25 days, paid holidays 7 days, floating holiday.
- 401(k) match.
- Life insurance fully paid.
- Tuition reimbursement.
- Leadership development, mentoring, YP group.
- Pet insurance.
As a global business, Moffatt & Nichol relies on diversity of culture and thought to deliver on our goal of Creative People, Practical Solutions® serving our client needs, and ensures nondiscrimination in all activities in accordance with Title VII of the Civil Rights Act of 1964. We draw from the world’s best and brightest, regardless of geographic, cultural, or institutional background.
Moffatt & Nichol is proud to be an Equal Employment Opportunity / Federal Contractor desiring priority referrals of all protected veterans for job openings. If you need more information or require special assistance for persons with disabilities or limited English proficiency, please contact Human Resources at (562) 590‑6500 or TTY/TDD users please call 711.
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