Senior Data Scientist, FlightPulse Analytics

CC2007 GE Flight Efficiency Services, Incorporated; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Relocation assistance

Excellent health and benefits

Job summary

CC2007 GE Flight Efficiency Services, Incorporated is seeking a Data Scientist to join a cross-disciplinary team supporting the FlightPulse product. You will develop, validate, and deploy analytics across the analytics lifecycle, collaborating with product managers, engineers, and customers to deliver measurable business value.

The role emphasizes exploratory analyses, data quality assessment, and translating customer needs into analytic capabilities, with opportunities to grow technical and

Qualifications

• Experience performing exploratory data analysis, data cleansing, and data quality assessment on large datasets.
• Experience developing, testing, validating, or supporting analytical models, algorithms, or data-driven solutions.
• Familiarity with EMS platforms; training provided.
• Exposure to customer implementation activities such as onboarding and deployment coordination.
• Strong analytical and technical problem-solving skills.

Responsibilities

• Develop, verify, and validate analytics to address customer needs and product objectives.
• Design and develop new analytics for the FlightPulse product as part of a cross-functional team.
• Support analytics deployment, monitoring, and customer onboarding for FlightPulse.
• Perform data analyses to identify patterns, trends, anomalies, and actionable insights.
• Document analytical methods, validation results, limitations, and support procedures.

Skills

Data analysis

Data visualization

Machine learning

Statistics

Cross-functional collaboration

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

Spark

Tableau

Git

Job description

CC2007 GE Flight Efficiency Services, Incorporated is seeking a Data Scientist to join a cross-disciplinary team supporting the FlightPulse product. You will develop, validate, and deploy analytics across the analytics lifecycle, collaborating with product managers, engineers, and customers to deliver measurable business value.

The role emphasizes exploratory analyses, data quality assessment, and translating customer needs into analytic capabilities, with opportunities to grow technical and