Principal Data Scientist

HP; United States; On-site; USD 154,000 - 228,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Long term/short term disability

Employee assistance program

Flexible spending account

Life insurance

Generous time off

Parental leave 4–12 weeks

11 paid holidays

Flexible paid vacation and sick leave

Job summary

HP's Workforce Experience Platform team seeks a Principal Data Scientist to lead AI/ML initiatives across a global data lake and services portfolio. You will partner with product management and cross-functional teams to scale innovative data-driven solutions for millions of devices.

You will own modeling strategies, deploy production-grade models, and mentor others while navigating a dynamic, start-up–like environment within HP’s scale. Excellent communication and leadership are essential.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Passion for data science

Statistics & ML concepts

SQL, Python & PySpark

Analytical problem solving

Data management (structured & unstruct

Communication & storytelling

Cross-functional collaboration

Problem solving in fast-paced env

Mentorship & leadership

Independent yet collaborative

Education

Master’s degree or PhD in a quantitative field

Tools

TensorFlow/Keras

PyTorch

Spark MLlib

Scikit-Learn

AWS SageMaker

Azure

Docker

Airflow

SQL

Python

PySpark

Job description

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.

Responsibilities

• 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.

Education and Experience

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.

Knowledge and Skills

• 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.

Preferred

• 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 (SageMaker, EMR, Redshift), Azure, Docker, and Airflow.
• Experience with Microsoft Graph API.

The base pay range for this role is $154,400.00 - $227,750.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job‑related knowledge, skills, and experience.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation

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