Data Science Manager: AI Strategy & Solutions Lead

Deloitte France; Dallas (TX); On-site; USD 156,000 - 307,000; Full time

Job summary

Deloitte, via its SFL Scientific unit, is hiring a Data Science Manager to lead a team delivering AI and GenAI solutions across industries. You will define project strategy, guide technical direction, and ensure scalable, production-ready deployments.

Responsibilities include mentoring data scientists, coordinating with engineers and solution architects, performing EDA, building and validating models, and presenting findings to stakeholders. Travel ~10%.

Qualifications

• Master's or PhD in a relevant STEM field.
• 6+ years in data science, data engineering, software engineering, or MLOps.
• 6+ years in AI/ML algorithm development workflow and data analysis across modalities.
• 6+ years with Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes.
• 4+ years managing teams and delivering complex projects.
• Live within commuting distance to Deloitte's offices.
• Ability to travel 10% on average.
• Limited immigration sponsorship may be available.

Responsibilities

• Lead a team of developers to deliver AI/GenAI solutions and set technical direction.
• Define project strategy and communicate complex concepts to technical and non-technical audiences.
• Guide AI initiatives spanning predictive and generative AI; ensure scalable production deployments.
• Mentor and coach junior data scientists and collaborate with engineers/solutions architects.
• Present findings and options to stakeholders and outline deployment infrastructure needs.

Skills

Data Science

Team leadership

Communication

Cloud deployment

Python

Docker

Kubernetes

NLP

GenAI

Education

Master's or PhD in STEM

Tools

AWS

Azure

GCP

SageMaker

Docker

Kubernetes

Job description

Deloitte, via its SFL Scientific unit, is hiring a Data Science Manager to lead a team delivering AI and GenAI solutions across industries. You will define project strategy, guide technical direction, and ensure scalable, production-ready deployments.

Responsibilities include mentoring data scientists, coordinating with engineers and solution architects, performing EDA, building and validating models, and presenting findings to stakeholders. Travel ~10%.