C2C hiring
Location: Dallas, TX Hybrid
Description:
3+ years of experience.
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 technique
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 or PhD in Data Science, Computer Science, Statistics, or related field
Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
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.
Clear communication and effective collaboration.
To apply for this job email your details to md.faisal@signinsol.com