Principal Data Scientist

## Principal Data Scientist Apply:
Austin, Texas, United States of America:
Full time:
Posted Today:
3169772

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 (Sage Maker, EMR, Redshift), Azure, Docker, and Airflow.
* Experience with Microsoft Graph API.  The base pay range for this role is $ - $ 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:
** 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;
· 4-12 weeks fully paid…