AI Engineer & Data Science Lead - Cloud + ML Innovation

PRICE WATERHOUSE COOPERS

Dallas (TX)

On-site

USD 99,000 - 297,000

Full time

14 days+

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Benefits offered by this job

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
Annual discretionary bonus

Job summary

PRICE WATERHOUSE COOPERS in Dallas is seeking an AI Engineer / Data Scientist to lead the development of advanced AI and ML solutions, turning raw data into actionable insights. This role blends hands-on technical leadership with client account management, ownership of projects from strategy through delivery, and mentoring to elevate team capabilities and client value.

Responsibilities include designing and deploying AI/ML systems, transforming data into insights, coaching teams, and ensuring

Qualifications

  • Bachelor's degree is required.
  • Minimum 4 years of relevant experience.
  • Onsite in Dallas, TX.
  • Strong AI/ML and data analytics capabilities.

Responsibilities

  • Lead development and deployment of advanced AI/ML solutions.
  • Design and optimize algorithms and models for intelligent automation.
  • Transform data into actionable insights for business decisions.
  • Supervise and coach teams to deliver high-quality work.
  • Own projects end-to-end from planning to delivery.
  • Collaborate with leadership to ensure quality and timelines.
  • Mentor team members to deepen technical skills.
  • Address client issues through direct communication.

Skills

AI expertise
ML proficiency
Data science
Client engagement

Education

Bachelor's degree

Tools

AWS
Google Cloud
Azure
Databricks
Snowflake

Job description

PRICE WATERHOUSE COOPERS in Dallas is seeking an AI Engineer / Data Scientist to lead the development of advanced AI and ML solutions, turning raw data into actionable insights. This role blends hands-on technical leadership with client account management, ownership of projects from strategy through delivery, and mentoring to elevate team capabilities and client value.

Responsibilities include designing and deploying AI/ML systems, transforming data into insights, coaching teams, and ensuring

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