Data Scientist

Data Scientist

Description -

What a Data Scientist does at HP:

• Analyze customer usage, telemetry, and operational data to uncover insights that drive product innovation, customer experience improvements, and business growth.
• Develops algorithms, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.
• Build AI-powered analytics solutions, intelligent assistants, and data-driven applications leveraging modern AI technologies.
• Design and optimize data collection, transformation, and analytics pipelines to support scalable and reliable decision making.
• Assures accuracy, integrity, and compliance of cleansed data.
• Develop compelling visualizations, dashboards, and storytelling approaches to communicate insights and recommendations to technical and business stakeholders.
• Design, develop, validate, and deploy predictive and prescriptive models that generate measurable business value.
• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.
• Partner closely with engineering, product management, and business teams to identify opportunities where data and AI can create competitive advantages.

Individuals who do well in this role at HP, usually possess:

• Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Applied Mathematics, Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 0-2 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
• Strong programming skills in Python and SQL.
• Experience applying statistical analysis, machine learning, and predictive modeling techniques to solve real-world business problems.
• Experience developing analytics applications, AI solutions, or Generative AI use cases is highly desirable.
• Familiarity with Large Language Models (LLMs), prompt engineering, Retrieval Augmented Generation (RAG), vector search, or AI agent frameworks is an advantage.
• Experience with data visualization and business intelligence platforms such as Power BI, Tableau, or equivalent.
• Understanding of structured, semi-structured, and unstructured data and modern data engineering methodologies.
• Knowledge of cloud-based analytics and AI platforms such as Azure AI, Azure Machine Learning, Databricks, or equivalent is desirable.
• Strong analytical thinking, problem-solving, and critical reasoning skills.
• Demonstrated ability to communicate complex analytical concepts and influence decisions across technical and management audiences.
• Ability to work effectively in cross-functional and global teams.

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

 

#Li-Post

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Singapore)

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