# Principal Data Scientist

**Company**: HP Inc.
**Experience**: senior
**Job type**: full-time
**Salary**: $154,400.00 - $227,750.00 USD annually
**Category**: Data Science
**Industry**: Technology

**Apply**: https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Austin-Texas-United-States-of-America/Principal-Data-Scientist_3169772?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b802b2aa-1b3

## Description

We are seeking a forward-thinking Principal Data Scientist to join our AI Systems team within the HP Workforce Experience Platform team. You will work closely with product management to understand product vision and user engagement strategy, identify AI opportunities, prototype and iterate models, and deploy them across millions of devices.

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.

- Collaborate with Data Scientists and Software Engineers to deliver on the Data Science Roadmap in a fast-paced environment.

- Balance 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.

- Conduct hands-on problem solving and implement 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 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.

- 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, including;

- 4-12 weeks fully paid parental leave based on tenure

- 11 paid holidays

- Additional flexible paid vacation and sick leave

## Skills

### Required
- SQL
- Python
- PySpark
- Machine Learning
- Statistics
- Mathematics
- Algorithms
- Data Science

### Nice to have
- Tensorflow/Keras
- PyTorch
- Spark MLlib
- Scikit-Learn
- Cloud computing
- MLOps
- AWS
- Azure
- Docker
- Airflow
- Microsoft Graph API

---

Source: [Apply at hp.wd5.myworkdayjobs.com](https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Austin-Texas-United-States-of-America/Principal-Data-Scientist_3169772?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)