Senior Data Scientist, Tech Ops Analytics

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

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.