HP Inc.
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
$130,350
to
$200,750
USD 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:
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 (https://hpbenefits.ce.alight.com/) )
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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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
$130,350
to
$200,750
USD 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:
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 (https://hpbenefits.ce.alight.com/) )
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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