Data Scientist

CGI•Dallas, TX

1d•Remote

About The Position

Make an impact like never before. We're growing rapidly and are looking for a skilled Data Scientist to join our consulting team for an ongoing client engagement with a major commercial airline. This role requires a seasoned Data Scientist who can drive delivery of complex AI analysis on various campaigns and experiments by the airline's innovation organization We're a close-knit team that has access to global resources. You'll have the opportunity to explore a wide range of industries, technologies, and geographies, all while enjoying the personal touch that our local operating approach offers. Growth at CGI is driven by your goals, so if you're looking for an inclusive place where you're empowered to chart your own path, then we'd love to meet you. This position can be located remotely anywhere in the U.S with the client based in Dallas, Texas. Ad-hoc travel request to client site in Dallas, Texas may be requested.

Requirements

Python
Pandas
Data visualization
Statistical tests
SQL
Analysis
Interpretation of results from statistical models
Leadership & Soft Skills
Demonstrated ability to lead technical teams in fast-paced consulting environments
Excellent problem-solving skills with the ability to think strategically
Strong communication skills with experience presenting to executive stakeholders
Ability to work independently and manage multiple priorities simultaneously

Nice To Haves

Previous experience in the commercial airline or travel industry
Understanding of airline-specific systems such as reservation systems (GDS/CRS), departure control systems, or revenue management platforms
Familiarity with IATA standards and airline industry regulations
Experience with passenger service systems (PSS) integration
Experience with LangGraph, Strands, DataBricks
Knowledge of real-time data streaming technologies
AWS (SageMaker, SageMaker Studio, Glue, Step Functions, Bedrock)
Tableau
Alteryx

Responsibilities

Ad Hoc Analysis Related to performance, usually as it relates to the Post Trip Satisfaction survey sent to customers
Performing this analysis typically consists of:
Pulling data from Redshift using SQL
Pulling data from the Qualtrics API
Combining data in python
EDA on the data including summary statistics and visualization in python
Statistical tests such as t-tests to compare different groups
Before and after comparisons
Testing for significance with small sample sizes
Interpretation for not technical team members
Be able to explain methodology and interpret results for them
Able to defend process to fit the narrative to the data
Working with client and the survey team to answer questions they might have
Currently this is less related to analysis and more related to questions about getting the data from the API into a stable production table in Redshift
Coach, mentor, and help upskill new team members
Collaboration on Simulations
Maintaining repository of SQL queries in GitLab
Assist client team with their effort to adjust a clustering model, like: writing SQL queries, analyzing results, consulting on decisions in the process, and code review

Benefits

Competitive compensation including profit participation program
Comprehensive medical, dental, and vision benefits
Basic life and accidental death & dismemberment insurance
Matching contributions through 401(k) plan, and CGI share purchase plan
Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service
10 paid holidays per year
At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws
Bereavement leave, ranging from 1 to 7 days per year based on relationship.
Paid jury duty leave, up to time summoned
Learning opportunities and tuition assistance
Wellness and Well-being programs