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About the Role

The AI Systems team within HP Workforce Experience Platform is seeking a forward-thinking Data Scientist 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 business needs with technical constraints by building deep subject matter expertise.
Maintain team 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.
Influence decision making and problem solving across teams.
Conduct A/B testing and experimentation.

Requirements

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.
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.
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.
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.

Skills

Data science
Data-driven outcomes
Statistics
Mathematics
Algorithms
Programming languages
SQL
Python
PySpark
Analytical skills
Problem-solving skills
Structured data management
Unstructured data management
Data transformation methodologies
Machine Learning concepts
Machine Learning tools
Interpersonal skills
Project management skills
Technical skills
Cloud computing
MLOps

Location

United States of America

Work Type

Full time

Experience Level

10+ years of industry experience

Education Level

Master’s degree or PhD

Salary/Compensations

$154,400.00 - $227,750.00 USD annually

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

About the Company

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.

Equal Opportunity

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"