Data Scientist

Hi

Role : Data Scientist

Location : Fort Worth TX

Long Term

Interview process : Virtual and F2F (Need Local only)

Description:

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

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 onsite 3 days 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.

Comment: The technical assessment must demonstrate candidate's skills on Python, Gen AI, and SQL

Thanks & Regards,

+14842823512