Data Scientist

Role: Data Scientist

Location: Dallas, TX – 5 Days onsite role

Duration: Permanent

Type: Fulltime/FTE

Job Description:

Experience Level: 8–12 Years

Role Summary

Technical leader responsible for driving complex ML, NLP, and LLM initiatives. Owns solution architecture, quality standards, and technical direction while mentoring teams and advising stakeholders.

Key Responsibilities

• Lead large‑scale data science and ML programs.
• Define NLP and LLM solution approach and architecture.
• Set standards for model evaluation, monitoring, and governance.
• Guide teams on best practices across ML lifecycle.
• Advise business and leadership on ML strategy and feasibility.
• Stay current on emerging ML and LLM technologies.

Mandatory / Key Skills (with expected experience)

• Advanced Python and ML systems design: 8–12 years
• End‑to‑end ML delivery in production environments: 8–12 years
• NLP for enterprise‑scale use cases: 6–8 years
• LLM ecosystem (design choices, evaluation, trade‑offs): 5–7 years
• Model evaluation, monitoring, and risk management: 6–8 years
• Cloud‑native ML architectures: 5–7 years
• Technical leadership and stakeholder communication: 6–8 years

Education

Bachelor’s / Master’s / PhD in Computer Science, Data Science, Engineering, or related field.

Process & Ways of Working

• Strong understanding of SDLC, Agile, and Scrum methodologies.
• Ability to gather requirements, create technical designs, and write clear documentation.
• Participate in code reviews and ensure best engineering practices.

Behavioral & Soft Skills

• Excellent problem-solving and analytical thinking.
• Strong communication and collaboration skills across cross-functional teams.
• Self-driven, adaptable, and eager to learn new technologies.