About this opportunity
DataJobs lists this Data Scientist/Sr Data Scientist, Technical Operations opportunity in fort worth, Texas. Review the employer’s description below for duties, qualifications and application requirements.
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
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Worksite address
fort worth, TX, 76102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.