Data Scientist Engineer — AI Strategy & Transformation

Deloitte France; McLean (VA); On-site; USD 96,000 - 188,000; Full time

Benefits offered by this job

Discretionary annual incentive program

Professional development opportunities

Job summary

Deloitte in McLean, VA is seeking a Data Scientist to design and develop AI/ML solutions for clients, transforming data into actionable insights. You will define data strategy, build models, validate results, and deliver production-ready solutions while collaborating with a cross-functional team of engineers, scientists, and consultants.

The role emphasizes client-facing work, rigorous analysis, and contributions to innovative data science projects across healthcare, finance, and technology

Qualifications

• Master's or Ph.D. in a STEM field related to data science or engineering.
• 2+ years of AI/ML algorithm development with Python, PyTorch, and data analysis.
• 2+ years deploying ML models with Kubernetes, Docker, and related tools.

Responsibilities

• Define data strategy, drive technical development, and build AI tools and services.
• Collaborate with clients to understand data, strategy, and requirements.
• Develop and deploy AI/ML solutions, validate models, and ensure production readiness.
• Research novel ML approaches and optimize model performance.
• Coordinate with data engineers, scientists, and managers to align delivery with business goals.

Skills

Independent work

Team collaboration

Written communication

Verbal communication

Attention to detail

Relationship building

Task prioritization

Professional demeanor

Meeting deadlines

Guidance to others

Education

Master's or Ph.D. in a relevant STEM field

Tools

Kubernetes

Docker

TensorRT/Triton

RAPIDs

Kubeflow

MLflow

AWS

Azure

GCP

Python

PyTorch

Job description

Deloitte in McLean, VA is seeking a Data Scientist to design and develop AI/ML solutions for clients, transforming data into actionable insights. You will define data strategy, build models, validate results, and deliver production-ready solutions while collaborating with a cross-functional team of engineers, scientists, and consultants.

The role emphasizes client-facing work, rigorous analysis, and contributions to innovative data science projects across healthcare, finance, and technology