Senior Data Scientist ML Engineer

HP • Houston, TX

60d • $130,350 - $200,750

About The Position

HP Inc. is seeking a Data Scientist / ML Engineer to build and deploy scalable machine learning solutions using large-scale device and customer data. This role combines advanced modeling, experimentation, and MLOps with strong data engineering and API integration skills. You will work across cloud platforms, big data systems, and cross-functional teams to drive monetization, personalization, and business intelligence.

Requirements

• Bachelor’s or Master’s in CS, Data Science, Engineering, Statistics, or related field.
• 7–10 years in data science, ML engineering, or data engineering roles.
• Proficiency in Python, SQL, ML frameworks, and distributed data processing (Spark, Databricks).
• Experience with AWS and Azure.
• Strong ETL/ELT skills and experience with large-scale datasets.
• Experience with REST/GraphQL APIs and third-party API integration.
• Strong understanding of Git, CI/CD, and production-grade ML systems.

Responsibilities

• Design, train, and deploy machine learning and deep learning models, including propensity models, recommendation engines, and customer behavior prediction systems.
• Own the full ML lifecycle—from feature development through training, evaluation, deployment, and ongoing model monitoring using scalable MLOps pipelines.
• Collaborate with data engineering and business teams to operationalize insights and ML models.
• Design and maintain large-scale ETL/ELT data workflows and integrate structured/unstructured data.
• Develop and integrate with REST and GraphQL APIs for data ingestion and ML-driven services.
• Leverage Python, SQL, Databricks and Apache Spark for data exploration, mining, cleansing and transformation.
• Conduct A/B testing, statistical analysis, and experimentation to improve engagement and business KPIs.
• Implement secure coding practices and leverage Git, CI/CD, and automated testing.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees