About this opportunity
SFE lists this Data Scientist opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Title: Sr Data Scientist
Location: Fort Worth, TX, 76155
Duration: 18 Weeks - 08/24/2026 - 12/31/2026
Work Schedule & Interview Process
Candidate must be able to work onsite 3 days a week Tuesday - Thursday; Virtual on Mondays/Fridays
There will be 3-4 round interviews. The first one being a screening, there will be 1-2 technical/coding interviews both virtual, a final in person interview
Job Description:
The technical assessment must demonstrate candidate's skills on Python, Gen AI, and SQL.
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.)
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
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
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
Experience Required
5-7 years of experience required
Top 3 Mandatory Skills and Experience
Proficient in Python
Experience/knowledge on designing and implementing Gen AI applications
Hands-on experience with Machine Learning and AI pipeline build, model deployment, orchestration, monitoring, and optimization
Nice to Have Skills
Microsoft Dynamics
Prompt Engineering
Proficiency in SQL and working with data
Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
Ideal Candidate Profile
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
#J-18808-Ljbffr
Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.