Sr Data Scientist

Please find the detailed job description below.
Position: Sr Data Scientist AI/ML
Location: Fort Worth, Texas
Duration: Contract
Job ID: 179088

Job Overview:
We are seeking a highly skilled and motivated Sr Data Scientist to join our team in Fort Worth, Texas. The ideal candidate will have a strong background in data science, machine learning, and artificial intelligence, with a focus on building and deploying Gen AI applications. This role will involve collaborating with a high-performing team to deliver scalable, production-ready AI solutions that drive measurable revenue impact. The candidate must be able to work onsite three days a week (Tuesday through Thursday) and virtually on Mondays and Fridays.

Responsibilities:

• Design, test, and deploy machine learning and Gen AI applications.
• Take ownership of data preparation and data pipeline development.
• Collaborate closely with data scientists, data engineers, and product partners.
• Accelerate the delivery of scalable, production-ready AI solutions.
• Optimize, debug, and integrate code for machine learning models.
• Support the Service Recovery Modernization initiative.
• Participate in a collaborative and innovative team environment.

Qualifications:

• Master's or PhD degree with 5+ years of experience in a quantitative discipline (e.g., Data Science, Machine Learning Engineering, Computer Science, Applied Mathematics, Statistics).
• Proficiency in Python, including production-grade coding, modularization, testing, and performance tuning.
• Hands-on experience with building Gen AI applications (e.g., prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs).
• Experience with ML/AI pipeline development, productionization, model deployment, orchestration, monitoring, and optimization.
• Depth of knowledge in statistical and machine learning techniques.
• Proficiency in SQL and working with data.
• Experience with Azure ML and Databricks.
• Familiarity 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 is a plus.
• Experience working in a consulting role is preferred.
• Strong communication skills, both verbal and written.
• Ability to work effectively in a diverse team environment.
• Demonstrated problem-solving and analytical skills.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
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Pay Range: $XXX - $XXX

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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