Senior Data Scientist ML Engineer

Qualifications

• 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

Benefits

• The pay range for this role is$130,350to$200,750USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America 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 parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)
• The compensation and benefits information is accurate as of the date of this posting

Responsibilities

• 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
• 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

Full Description

Senior Data Scientist ML Engineer

Description -

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.

Key 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.

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.

The pay range for this role is$130,350to$200,750USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America 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 parental leave based on tenure

• 11 paid holidays

• Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting.

The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

Shift 1, 0% premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

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’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"