Data Scientist
- JS Consulting Solutions
13 Hours Ago
NA
C2C
Fort Worth-TX
3-8 Years
Required Skills: Data Science, Python, Machine Learning, pipeline development, model deployment, orchestration, monitoring, optimization
Job 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
- 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:
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:
Nice to Have Skills and Experience:
1.Experience with Databricks / Spark-based ML pipelines
2. Proficiency in SQL and working with large-scale datasets
3.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:
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 solutions
