Data Scientist

Hewlett-Packard Company; Sacramento (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

HP’s Digital and Transformation Organization (D&TO) Data Science team seeks a skilled data scientist to build ML and statistical models using Python and SQL. You will collaborate with cross-functional partners to deploy models that drive demand planning, forecasting, and customer insights.

Candidates typically hold a Bachelor’s or Master’s in Mathematics, Economics, Physics, Computer Science, or equivalent and have 4–6 years of relevant experience.

Qualifications

• Bachelor's or Master's in Mathematics, Economics, Physics, Computer Science, or equivalent.
• Typically 4–6 years of experience including graduate or postgraduate research.

Responsibilities

• Leverages structured and unstructured data to build and deploy machine learning or statistical models.
• Partners with more senior team members to make modeling decisions in order to achieve business objectives.
• Interacts with working teams across the organization to embed models into value-driving solutions.
• Communicates results, insights and potential risks to team leadership and stakeholders.
• Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.

Skills

Statistics & ML

Python

SQL

Communication

Problem Solving

Education

Bachelor's or Master's in a STEM field

Tools

Python

SQL

Job description

HP’s Digital and Transformation Organization (D&TO) is focused on building world-class digital capabilities, and our Data Science team is responsible for leading the development the data science models to support that vision. Whether it’s improving our ability to do demand planning & forecasting, or better understanding the behavior of our partners & customers, in this role you will be empowered to work across a range of areas and use cases, leveraging your expertise with machine learning and/or statistics modeling to deliver value.

Responsibilities

• Leverages structured and unstructured data to build and deploy machine learning or statistical models.

• Partners with more senior team members to make optimal modeling decisions in order to achieve business objectives

• Interacts on a frequent basis with working teams across the organization in order to embed models into value-driving solutions.

• Is able to communicate results, insights and potential risks to both team leadership and stakeholders.

• Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.

Knowledge & Skills

• Knowledge of statistics and machine learning, specifically regression, classification and time series methods.

• Ability to translate real-world problems into questions that can be answered via data science models.

• Extensive experience working with Python and SQL; experience in software development a plus.

• Ability to deliver value even when faced when imperfect situations.

• Experience communicating technical topics to both technical and non-technical audiences

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.

• Typically partners with high-level Individual Contributors and Managers.

• Supports projects requiring data engineering solutions expertise.

Education & Experience

• Bachelor's or Master's degree in Mathematics, Economics, Physics, Computer Science, or equivalent.

• Typically 4-6 years’ experience including graduate or postgraduate research

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.