HP is hiring a Data Scientist in Vancouver, WA (onsite) to apply AI and advanced analytics to business problems and measurable decision-making.

Apply AI, machine learning, and advanced analytics to extract insights from large, complex, and diverse datasets
Build predictive and prescriptive models to support faster, smarter decisions
Develop solutions using machine learning, deep learning, natural language processing (NLP), and generative AI
Collaborate with engineering, product, and business teams to deliver scalable data products and intelligent automation
Translate analytical results into story-driven insights that explain the “why” behind the data
Create data visualizations, dashboards, and presentations for both technical and executive audiences
Lead data science initiatives from discovery through deployment, focused on measurable business outcomes
Mentor and guide fellow data scientists and support a culture of continuous learning and innovation
Stay current on emerging AI technologies, industry trends, and advanced analytical methods

Education: Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field
Experience: 3+ years in data science, machine learning, analytics, or statistical modeling
Strong programming skills in Python, SQL, R, or related technologies
Experience working with large-scale structured and unstructured datasets
Ability to communicate complex technical concepts through clear, compelling storytelling

Artificial Intelligence and Machine Learning
Generative AI and Large Language Models (LLMs)
Predictive and statistical modeling
Data mining and big data analytics
Python, SQL
Data visualization
Cloud analytics platforms (AWS)
Data pipeline development and data engineering collaboration
AWS, Apache Spark
Data science and analytics workflows involving structured/unstructured data and cloud analytics

Experience with Generative AI, Large Language Models (LLMs), AI-powered analytics, or intelligent automation solutions
Experience deploying machine learning models into production environments
Cloud experience with AWS and big data technologies such as Apache Spark
Experience mentoring team members or leading analytics projects
Professional certifications in Python, SQL, AI, Machine Learning, or Cloud technologies

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 (US benefits overview)

Data Scientist

Job Description