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 $137,000 to $211,000 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:

HP offers a comprehensive benefits package for this position, including:

• Health insurance

• Dental insurance

• Vision insurance

• Long term/short term disability insurance

• Employee assistance program

• Flexible spending account

• Life insurance

• Generous time off policies, including;