Principal Data Scientist

HP • Austin, TX

14d

About The Position

The HP Workforce Experience Platform team operates in a dynamic environment delivering a multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning. The AI Systems team is seeking a forward-thinking Data Scientist to drive innovation at scale, solve customer issues through AI/ML, and deliver customer experiences using a large data lake.

The role works closely with product management and technical teams to identify AI opportunities, develop and deploy models across millions of devices, and deliver the Data Science Roadmap. It balances business needs and technical constraints, maintains focus on strategy and outcomes, and communicates program progress, issues, and risks to stakeholders. The position also serves as a subject matter expert for cross-functional teams and contributes hands-on to problem solving, experimentation, and continuous improvement.

Requirements

• Master’s degree or PhD in a highly quantitative field such as Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, or Physics.
• 10+ years of industry experience in predictive modeling and data science roles.
• Passion for data science and delivering data-driven outcomes.
• Extensive experience using statistics, mathematics, algorithms, and programming languages.
• Expert knowledge of SQL, Python, and PySpark.
• Strong analytical and problem-solving skills.
• Fluency in structured and unstructured data, data management, and modern data transformation methodologies.
• Deep understanding of current machine learning concepts and tools.
• High emotional intelligence and ability to handle ambiguity and collaborate in a fast-paced environment.
• Ability to create stories and visualizations that communicate data insights clearly and simply.
• Excellent interpersonal and project management skills, including ability to work across in-person and virtual teams.
• Hands-on technical skills and inquisitiveness to learn products and provide recommendations for continuous improvement.
• Ability to work independently and collaborate cross-functionally in a global, multicultural environment.
• Ability to manage multiple work streams and provide timely leadership updates.
• Comfort working in new areas that require experimentation and rapid problem solving.

Nice To Haves

• Experience with machine learning frameworks such as TensorFlow/Keras, PyTorch, Spark MLlib, or Scikit-Learn.
• In-depth knowledge of one or more areas of deep learning, such as natural language generation (LLMs, sentiment analysis), recommendation systems, or computer vision.
• Experience in cloud computing and MLOps, especially AWS (SageMaker, EMR, Redshift), Azure, Docker, and Airflow.
• Experience with Microsoft Graph API.

Responsibilities

• Work with product management to understand product vision and user engagement strategy for the WSS Managed Insights Team.
• Identify AI opportunities, prototype and iterate models, and deploy them across millions of devices.
• Collaborate with Data Scientists and Software Engineers to deliver the Data Science Roadmap in a fast-paced environment.
• Build subject matter expertise and balance business needs with technical constraints.
• Keep the team's focus on strategy and goal-oriented results when addressing complex problems.
• Provide stakeholders with regular updates on program progress, issues, and risks.
• Serve as a subject matter expert by training and demonstrating product functionality for support, sales, onboarding, and other cross-functional teams.
• Solve day-to-day problems hands-on and implement effective action plans for short-term priorities and emerging opportunities.
• Influence decision-making and problem-solving across teams.
• Conduct A/B testing and experimentation.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long-term and short-term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time-off policies, including 4–12 weeks of fully paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Principal