Sr. Data Scientist with Ph.D | W2

Glider Test (Online test) required
Candidate must be able to work onsite Tuesday - Thursday and virtual Mondays/Fridays.
There will be 2 round interviews, the first one being virtual and the second in person.

Job Role : Senior Data Scientist with PHD.

Location : Ft. Worth TX 76155 - onsite 3 days week Tuesday - Thursday; Virtual on Mondays/Fridays.

Duration : 6 months+ ext

Hourly Pay : $80-90/hr w2

The resource will be embedded within the team and support the Service Recovery Modernization initiative.

- Take ownership of data preparation data pipelines design test and deployment of ML and Gen AI applications.
Description:

Minimum Qualifications Education & Prior Job Experience

• 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
• 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)

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.

What is the team environment and structure like?:

Please share the candidates email address and the POC email address from the supplier to have the teams interview visibility.
- ML/AI team supporting Contact Centers and Digital Customer Experience
- Will collaborate with several team members
- Collaborative, supportive, and high-performing culture
- Strong focus on quality, innovation, scalability, and measurable revenue impact

How will the resource fit into your team?:

- The resource will be embedded within the team and support the Service Recovery Modernization initiative.
- Take ownership of data preparation, data pipelines, design, test, and deployment of ML and Gen AI applications.

- Collaborate closely with data scientists, data engineers, and product partners.
- Accelerate delivery of scalable, production-ready AI solutions.

Candidate must be able to work

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.

Regards,

Adam Jones (Azam)

Direct: 5 5 1 2 6 4 7 2 4 9

Email: Adam (@) pullskill (dot) com