Data Scientist
Job Location:
Job Location:
Fort Worth, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
7 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job description:
Masters/PhD degree with 3 years of experience in quantitative discipline (e.g. Data Science Machine Learning Engineer Computer Science Applied Mathematics Statistics etc.)
Experience with Python programming language
Practical experience with data extraction cleaning and analysis
Depth of knowledge in statistical and machine learning techniques
Preferred qualifications Education & Prior Job Experience
8 years of experience in a technical professional environment in addition to the minimum requirements
Experience with SQL and data visualization (Tableau PowerBI)
Practical experience designing building and deploying machine learning models
Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks Azure)
Domain knowledge in the airline industry
Experience working in a consulting role
Skills Licenses & Certifications
Ability to effectively communicate both verbally and written with all levels within the organization
Demonstrated motivation and aptitude for logical analysis problem identification and problem solving
Ability to view data from different angles to employ feature engineering techniques to better represent models
Ability to work on a diverse team with diverse skillsets
Top 3 Must Have Skills: MS/PhD degree Python Machine Learning Deep Learning
Nice to Have Skills: Databricks Azure ML SQL Tableau/PowerBI
Describe a great candidate that you are looking for and what skills and experience they will have:
Experienced data scientist with ML/DL model training deployment and evaluation. Advanced in Python and Databricks. Good communication and collaboration. Consulting background is a plus.
What is the team environment and structure like: Centralized ML team supporting 7 business units. All team members are data scientist levels from senior to principal level. Team culture is friendly supportive and collaborative. Focus on quality innovation and revenue impact.
How will the resource(s) fit into your team: The resource will embed within the centralized ML team and support active Loyalty and Marketplace projects. They will independently execute model development validation and deployment tasks while collaborating with peer data scientists data engineers and product partners
Experience with Python programming language
Practical experience with data extraction cleaning and analysis
Depth of knowledge in statistical and machine learning techniques
Preferred qualifications Education & Prior Job Experience
8 years of experience in a technical professional environment in addition to the minimum requirements
Experience with SQL and data visualization (Tableau PowerBI)
Practical experience designing building and deploying machine learning models
Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks Azure)
Domain knowledge in the airline industry
Experience working in a consulting role
Skills Licenses & Certifications
Ability to effectively communicate both verbally and written with all levels within the organization
Demonstrated motivation and aptitude for logical analysis problem identification and problem solving
Ability to view data from different angles to employ feature engineering techniques to better represent models
Ability to work on a diverse team with diverse skillsets
Top 3 Must Have Skills: MS/PhD degree Python Machine Learning Deep Learning
Nice to Have Skills: Databricks Azure ML SQL Tableau/PowerBI
Describe a great candidate that you are looking for and what skills and experience they will have:
Experienced data scientist with ML/DL model training deployment and evaluation. Advanced in Python and Databricks. Good communication and collaboration. Consulting background is a plus.
What is the team environment and structure like: Centralized ML team supporting 7 business units. All team members are data scientist levels from senior to principal level. Team culture is friendly supportive and collaborative. Focus on quality innovation and revenue impact.
How will the resource(s) fit into your team: The resource will embed within the centralized ML team and support active Loyalty and Marketplace projects. They will independently execute model development validation and deployment tasks while collaborating with peer data scientists data engineers and product partners
