Quick overview
SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
SQLMLflowTableauDatabricksPythonAzureMachine LearningCI/CD
Job description
Hi
Role :Sr Data Scientist
Fort Worth TX
Long Term
Experience : 12+ years
Description:
Minimum Qualifications – Education & Prior Job Experience
• Master’s/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
•12+ 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:
1.MS or PhD in Data Science, Computer Science, Statistics, or related field
2.Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
3.Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
Nice to Have Skills and Experience:
- Experience with Databricks / Spark-based ML pipelines
- Proficiency in SQL and working with large-scale datasets
- Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
- Describe a great candidate that you are looking for and what skills and experience they will have:
- Has proven experience taking ML models from prototype to production with Python and Databricks.
- Demonstrates strong skills in code optimization, debugging, and system integration.
- Understands the end-to-end ML lifecycle, including deployment and monitoring.
- Is comfortable working with existing codebases and improving them, rather than only building new models.
- Clear communication and effective collaboration.
- What is the team environment and structure like?:
- Centralized Machine Learning team supporting 7 business units
- Team consists of Senior to Principal-level Data Scientists
- Collaborative, supportive, and high-performing culture
- Strong focus on quality, innovation, scalability, and measurable revenue impact
- How will the resource(s) fit into your team?:
- The resource will embed within the centralized ML team and support the Customer Intelligence CBI productionization initiative.
- Take ownership of productionizing ML pipelines, including code refactoring and system optimization
- Collaborate closely with data scientists, data engineers, and product partners
- Accelerate delivery of scalable, production-ready ML solution
pls reach out to me at
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