Data Scientist/Sr Data Scientist, Technical Operations

DataJobs; Fort Worth (TX); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Travel perks access to destinations

Health benefits: medical, dental, and視

401(k) program

Wellness programs

Discounts on travel

Job summary

American Airlines in Fort Worth, TX is seeking an experienced_Data Scientist/ML Engineer to apply machine learning and advanced analytics to Technical Operations performance. This onsite role emphasizes translating business needs into ML solutions and delivering measurable improvements in operations and forecasting.

You will build feature-based datasets in Azure, collaborate with cross-functional teams, and communicate results to leadership.

Qualifications

• Master’s/PhD degree, or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering)
• Experience with at least one programming language (e.g., Python, R, Java) and software engineering best practices (testing and version control)
• Working knowledge of machine learning libraries
• Practical experience with data extraction, cleaning, and analysis
• Deep knowledge of statistical and machine learning techniques
• Ability to complete technical interviews and take-home tests covering statistics, machine learning, SQL, Python, PySpark, and MLOps
• Experience with SQL and data visualization
• Practical experience designing, building, and deploying machine learning models
• Experience working in a consulting role
• Airline industry domain knowledge is a plus
• Deep learning, NLP, CV, recommender systems, and experimentation (A/B testing) are a plus
• Cloud platform and parallel processing experience is a plus
• Experience applying data science techniques including: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning
• Experience with Databricks, PySpark/Spark, Snowflake, dbt, and Azure Cloud

Responsibilities

• Partner with cross-business teams to translate needs into machine learning or statistical problem statements
• Build predictive forecasting systems to model future performance
• Support data product development using exploratory data analysis, feature engineering, and model building
• Source and create datasets, identify key features, and define new features for modeling
• Explain complex experiments, models, and analytics outputs to partners simply and actionable
• Communicate with airport and Technical Operations leaders
• Design and manage feature-based datasets in Azure to streamline ML and AI
• Perform other duties as assigned

Skills

Python

R

Java

SQL

PySpark/Spark

Education

Master’s/PhD or Bachelor’s with 2+ years practical experience

Tools

Databricks

Snowflake

dbt

Azure Cloud

Job description

Fort Worth, TX (onsite) role applying machine learning and statistical methods to support Technical Operations performance and analytics.

Responsibilities

• Partner with cross-business teams to translate needs and challenges into machine learning or statistical problem statements
• Build predictive forecasting systems to model future performance based on known change
• Support data product development using exploratory data analysis, feature engineering, and model building
• Source and create datasets, identify key features, and define new features for modeling
• Explain complex experiments, models, and analytics outputs to partners in a simple and actionable manner
• Communicate directly with airport and Technical Operations leaders
• Design and manage feature-based datasets in Azure to streamline ML and AI
• Perform other duties as assigned

Requirements

• Master’s/PhD degree, or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering)
• Experience with at least one programming language (e.g., Python, R, Java) and software engineering best practices (testing and version control)
• Working knowledge of machine learning libraries
• Practical experience with data extraction, cleaning, and analysis
• Deep knowledge of statistical and machine learning techniques
• Ability to complete technical interviews and take-home tests covering statistics, machine learning, SQL, Python, PySpark, and MLOps
• Experience with SQL and data visualization
• Practical experience designing, building, and deploying machine learning models
• Experience working in a consulting role
• Airline industry domain knowledge is a plus
• Deep learning, natural language processing, computer vision, recommender systems, and experimentation (A/B testing) are a plus
• Cloud platform and parallel processing experience is a plus
• Experience applying data science techniques including: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning
• Experience with Databricks, PySpark/Spark, Snowflake, dbt, and Azure Cloud
• Demonstrated aptitude for logical analysis, problem identification, and problem solving
• Ability to view data from multiple angles to improve feature engineering
• Ability to collaborate on a diverse team
• Ability to solve complex problems in a constrained, dynamic environment
• Ability to leverage airline business understanding and commercial goals to drive results and innovative solutions
• Adaptability to new ideas and business processes in an ever-changing marketplace
• Ability to challenge self and the team to develop future-oriented network strategies
• Strong communication and collaboration with cross-functional groups to drive outcomes for the airline
• Excellent interpersonal and communication skills with technical and non-technical audiences
• Skilled at sharing knowledge to build team expertise

Technologies

• Python, R, Java
• SQL
• PySpark, Spark
• MLOps
• Databricks
• Snowflake
• dbt
• Azure Cloud, Azure

Benefits

• Travel perks: access to 365 destinations and more than 6,800 daily flights across the global network
• Health benefits: health, dental, prescription, and vision benefits, plus virtual doctor visits and flexible spending accounts
• Wellness programs
• 401(k) program: available upon hire; employer contributions after one year, depending on workgroup
• Additional benefits: Employee Assistance Program, pet insurance, and discounts on hotels, cars, cruises, and more

Team and Role Context

• The Technical Operations division focuses on maintenance and overhaul of aircraft, aircraft safety, planning and scheduling aircraft maintenance, supply of parts and tools, technical assistance, and strategic support
• Position sits on the Technical Operations Performance and Analytics team within Technical Operations
• Role focuses on applying machine learning and statistical techniques to address complex Technical Operations challenges

Inclusion and Diversity

• Inclusion and diversity support the workforce at American Airlines
• 20+ Team Member Business Resource Groups focused on connecting team members to customers, suppliers, communities, and shareholders
• Business Resource Groups help team members reach their full potential and create an inclusive work environment