We are looking for Senior Data Scientist in Dallas, TX - Onsite
Aswin
Only TX locals
We are looking for Senior Data Scientist in Dallas, TX - Onsite
Mandatory Skills: Product Engineering Data Sciences
Job Description:
Seeking a Senior Data Scientist with 10+ years of experience and a Master's or PhD in a quantitative field. The ideal candidate will have strong Python expertise, hands-on experience building and deploying machine learning pipelines, and a solid foundation in statistical and ML techniques. Experience with Databricks, SQL, cloud platforms, and large-scale data processing is highly preferred, with airline industry experience being a plus.
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Minimum Qualifications – Education & Prior Job Experience
Master or PhD degree with 5+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
Experience in Operations research is mandatory
Python proficiency (production-grade coding, modularization, testing, performance tuning)
Hands on experience with building Gen AI applications – prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc.
Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
Depth of knowledge in statistical and machine learning techniques
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Preferred qualifications – Education & Prior Job Experience
Experience with Azure ML, Databricks
Proficiency in SQL and working with data
Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
Practical experience designing, building and deploying machine learning models
Domain knowledge in the airline industry
Experience working in a consulting role
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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
5-7 years of experience required
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Describe a great candidate that you are looking for and what skills and experience they will have:
Has experience with LLMs and Agentic AI
Has experience building customer facing Gen AI applications; awareness on guardrails, privacy, cybersecurity concerns
Has proven experience taking ML models from prototype to production with Python and Azure ML; containerize where needed.
Demonstrated strong skills in code optimization, debugging, and system integration.
Understands end-to-end ML lifecycle, including deployment and monitoring.
Is comfortable working with existing codebases and improving them, as well as building new ones from scratch. Clear communication and effective collaboration.