Principal Data Scientist

Dallas Fort Worth International Airport (DFW)

Texas (NJ)

On-site

USD 60,000 - 90,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

An established industry player is seeking a Principal Data Scientist to lead the development of innovative ML/AI solutions. This role involves hands-on modeling and mentoring of data science teams, ensuring data-driven decisions are made at scale. You will design and maintain scalable machine learning models while collaborating with cross-functional teams to align strategies with business objectives. Join a diverse and talented workforce dedicated to providing an exceptional experience while reimagining airport operations. Your expertise will help shape the future of aviation analytics.

Qualifications

8+ years of experience in data science/machine learning engineering.
Experience leading data science teams in an applied, hands-on capacity.

Responsibilities

Drives end-to-end ownership of ML/AI model development.
Guides and mentors data scientists on best practices.
Collaborates with teams to align data science solutions with company goals.

Skills

Python

TensorFlow

PyTorch

Keras

Scikit-Learn

SQL

Generative AI

NLP tooling

Geospatial analytics

Reinforcement learning

Education

Bachelor's degree in Data Science & AI

Master's degree in a related field

Tools

Data & ML cloud services

Neural networks (LSTM, RNN, CNN, GNN)

Job description

Join to apply for the Principal Data Scientist role at Dallas Fort Worth International Airport (DFW)

1 week ago Be among the first 25 applicants

Join to apply for the Principal Data Scientist role at Dallas Fort Worth International Airport (DFW)

Get AI-powered advice on this job and more exclusive features.

Job Overview

Under the direction of the VP of Aviation Strategy & Enterprise Analytics, the Principal Data Scientist leads the development and deployment of ML/AI solutions while coaching data science teams. Balances hands-on modeling with technical mentorship, ensuring data-driven decision-making at scale. Designs, develops, tests, delivers, maintains and improves applications, and works across the entire software development lifecycle to optimize front-end (user experience) and back-end workflow.

Drives end-to-end ownership of ML/AI model development, from research to deployment.
Guides and mentors data scientists, ensuring best practices in model development, experimentation, and validation.
Collaborates with engineering, product, and business teams to align data science solutions with company goals.
Designs, develops, and maintains scalable machine learning models and pipelines.
Leads the exploration of new techniques in AI/ML, ensuring the adoption of cutting-edge methods.
Oversees data governance, bias mitigation, and ethical AI practices. Works with leadership to define KPIs and success metrics for AI-driven initiatives.
Manages stakeholder communications, translating complex data science concepts into business impact. Ensures model monitoring, retraining, and continuous improvement for production models.
Contributes to hiring, onboarding, and training data science team members.
Performs other related duties as assigned.

What You Need

Bachelor’s degree in data science & AI, computer science, operations research, or a related field.
Eight (8) plus years of experience in data science/machine learning engineering.
Experience leading data science teams in an applied, hands-on capacity.

Required Knowledge, Skills, And Abilities

Knowledge of Generative AI and NLP tooling.
Knowledge of geospatial analytics and modeling knowledge and tooling.
Knowledge of reinforcement learning and agent–based simulation basics.
Knowledge of road traffic planning and management, airline operations.
Knowledge of data privacy, compliance, and ethical AI considerations.
Knowledge of stakeholder management and ability to influence decision-making.
Skill in Python, TensorFlow/PyTorch, Keras, Scikit-Learn, SQL, Data & ML cloud services.
Skill in advanced ML modeling, feature engg, and algorithm development.
Skill in neural networks (LSTM, RNN CNN, GNN), autoencoders.
Skill in experimental design & A/B testing; data cleansing, harmonization, and packaging; descriptive & diagnostic analytics for business insights.
Ability to complete statistical modeling & hypothesis testing.
Ability to translate data insights into actionable business recommendations.
Ability to align ML initiatives with product roadmaps and business objectives.
Ability to work cross-functionally with engg, design, and product teams.
Ability to complete hypothesis-driven research.
Ability to coach and develop data scientists.
Ability to foster a data-driven culture within the organization.

Special Requirements

Must obtain a Security Identification Display Area (SIDA) Airport Identification/Access Badge (badge) in accordance with Department of Homeland Security Transportation Security Administration (TSA) requirements in Chapter 49 of the Code of Federal Regulations Part 1500 et al., and DFW Airport’s Airport Security Program within thirty (30) days from date of employment and maintain qualification for a SIDA badge upon each badge renewal.

About Us

We are Dallas Fort Worth International (DFW) Airport-one of the most successful airports in the world by any definition. We are recognized for our innovation, leadership, drive for excellence and talented employees.

Our success is made possible because of the diverse talents of over 2,100 employees who champion our mission of providing an exceptional airport experience to our customers and connect our community to the world. We are looking for the best talent to join us and help reimagine what an airport can be.

Bring your talents to DFW. Live and work with purpose.

Seniority level