Overview
On Site
USD 200,000.00 - 240,000.00 per year
Full Time
Skills
Data Management
Collaboration
Product Innovation
Unstructured Data
Optimization
Documentation
Computer Science
Data Science
Statistics
scikit-learn
Data Wrangling
Cloud Computing
Research
Analytical Skill
Communication
Machine Learning (ML)
Python
TensorFlow
Pandas
PyTorch
Extract
Transform
Load
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET
Job Details
Description
Principal Data Scientist - Data & AI (Hybrid)
Global Technology Organization
We're partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.
In this role, you'll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.
What You'll Work On
Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.
Lead the design and optimization of scalable data pipelines to support production-grade ML systems.
Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.
Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.
Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.
Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.
Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).
10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.
Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.
Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.
Proven experience deploying models in cloud-based or distributed environments.
Who Thrives Here
Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.
Strong analytical thinkers with exceptional communication skills.
Collaborative professionals who enjoy working across engineering, product, and data teams.
Individuals who embrace continuous learning and stay ahead of modern ML trends.
Requirements
Machine Learning, Machine learning technologies, Python, TensorFlow, TensorFlow, Pandas, PyTorch, ETL - Extract Transform Load, ETL - Extract Transform Load
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
Principal Data Scientist - Data & AI (Hybrid)
Global Technology Organization
We're partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.
In this role, you'll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.
What You'll Work On
Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.
Lead the design and optimization of scalable data pipelines to support production-grade ML systems.
Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.
Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.
Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.
Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.
Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).
10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.
Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.
Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.
Proven experience deploying models in cloud-based or distributed environments.
Who Thrives Here
Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.
Strong analytical thinkers with exceptional communication skills.
Collaborative professionals who enjoy working across engineering, product, and data teams.
Individuals who embrace continuous learning and stay ahead of modern ML trends.
Requirements
Machine Learning, Machine learning technologies, Python, TensorFlow, TensorFlow, Pandas, PyTorch, ETL - Extract Transform Load, ETL - Extract Transform Load
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.