HP
Principal Data Scientist
- Compensation
- Not disclosed
- Location
- Austin, Texas, United States of America
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Full time
- Experience
- 10+ years
- Category
- Data science
- Posted
Skills
Nice to have
- 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.
Full 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.