Job Description
Data Science Lead
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.
Equal opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
Data Science Lead
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.
Equal opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
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