Principal Data Scientist

Principal Data Scientist Description
- Are you passionate about technology and looking to work in an agile start-up environment that is built on the brand recognition, solution capabilities, and global reach of a world-class technology pioneer? The HP Workforce Experience Platform team operates in a highly dynamic landscape that delivers a best-in-class, multi-OS Services portfolio powered by software, cloud, data analytics, and machine learning. The AI Systems team within HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest data lakes in the world.

• Work closely 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.
• Work with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment.
• Balance the business needs with technical constraints by building deep subject matter expertise for your area.
• Maintain the team's focus on strategy and goal-oriented results when tackling complex problems.
• Provide regular updates about program progress, issues, and risks to key stakeholders.
• Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams.
• Comfortable with hands‑on, day‑to‑day problem solving and implementing quick and effective action plans to meet short‑term priorities and emerging opportunities.
• Influence decision making and problem solving across teams.
• Conduct A/B testing and experimentation.

Master’s degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.). 10+ years of industry experience in predictive modelling and data science roles.

• Passion for data science & 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.
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
• Deep understanding of current Machine Learning concepts and tools.
• High EQ, ability to deal with ambiguity and work collaboratively in a high paced environment.
• Create stories and visualizations to describe and communicate data insights in a clean and simple manner.
• Excellent interpersonal and project management skills; ability to work across in‑person and virtual team environments.
• Hands‑on technical skills with the inquisitiveness to learn products, work with them, and provide recommendations to drive continuous improvement.
• Able to work independently yet collaborate cross‑functionally in a global and multicultural environment.
• Able to manage multiple work streams effectively and provide timely updates to leadership.
• Comfortable and effective working in new areas that require experimentation and rapid problem solving.

• Experience in one or more 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 tools such as AWS (Sage Maker, EMR, Redshift), Azure, Docker, and Airflow.
• Experience with Microsoft Graph API.

The base pay…