Principal Data Scientist

HP•Austin, TX

2d•$154,400 - $227,750

About The Position

The AI Systems team within HP Workforce Experience Platform is seeking a forward-thinking Data Scientist to drive innovation at scale, solve customer problems through AI and machine learning, and improve customer experiences using a large data lake. The team delivers a multi-OS services portfolio powered by software, cloud, data analytics, and machine learning in a dynamic, agile environment. The role partners with product management, data scientists, software engineers, stakeholders, and cross-functional teams to identify AI opportunities, develop and deploy models across millions of devices, and deliver the data science roadmap. The Principal Data Scientist balances business needs with technical constraints, contributes to strategy and goal-oriented outcomes, communicates progress and risks, and serves as a subject matter expert. The position also involves hands-on problem solving, experimentation, A/B testing, and communicating data insights through stories and visualizations.

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.
Excellent interpersonal and project management skills, including working across in-person and virtual team environments.
Hands-on technical skills and curiosity to learn products, work with them, and recommend continuous improvements.
Ability to work independently and collaborate cross-functionally in a global, multicultural environment.
Ability to manage multiple work streams effectively and provide timely leadership updates.
Comfort working in new areas that require experimentation and rapid problem-solving.

Nice To Haves

Experience with one or more machine learning frameworks, such as TensorFlow/Keras, PyTorch, Spark MLlib, or Scikit-Learn.
In-depth knowledge of one or more deep learning areas, such as natural language generation (LLMs, sentiment analysis), recommendation systems, or computer vision.
Experience in cloud computing and MLOps, especially AWS tools such as SageMaker, EMR, and 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 on models, and deploy them across millions of devices.
Work with Data Scientists and Software Engineers to deliver the Data Science Roadmap in a fast-paced environment.
Balance business needs with technical constraints by developing subject matter expertise.
Keep the team focused on strategy and goal-oriented results while addressing complex problems.
Provide key stakeholders with regular updates on program progress, issues, and risks.
Serve as a subject matter expert by training and demonstrating product functionality to 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.
Create stories and visualizations that communicate data insights clearly and simply.
Manage multiple work streams and provide timely updates to leadership.