HP Spark Management Associate Data Scientist

Description -

Job Summary

This role is an entry-level role for a recent graduate to grow as a data scientist in a collaborative fast-moving team. The role involves working alongside experienced data scientists and engineers to explore analyze and model data that drives real business decisions. This requires proficiency across both classical ML techniques and emerging AI paradigms including large language models and agentic AI systems to surface insights and contribute to meaningful solutions. Strong communication and the ability to work effectively across teams are as important as technical skill.

What a HP Spark Management Associate - Data Scientist does at HP:

• Supports data exploration preparation and analysis using Python SQL and modern data tooling.

• Contributes to building and evaluating predictive and machine learning models under the guidance of senior team members.

• Works collaboratively with cross-functional teams including product engineering and business stakeholders to understand problems and communicate findings clearly.

• Translates analytical results into clear accessible visualizations and written summaries for both technical and non-technical audiences.

• Participates in the integration and evaluation of LLM-based and agentic AI workflows where applicable.

• Assists in developing monitoring and evaluation metrics to track model and solution performance in production.

• Actively engages in team discussions code reviews and knowledge-sharing sessions.

• Brings curiosity and a learning mindset asks questions seeks feedback and continuously develops skills.

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

• Bachelors or Masters Degree in Mathematics Statistics Computer Science Data Science or a related discipline.

• Final-year students or recent graduates welcome; internship or project experience in data/ML is a plus but not required.

• Core Technical Skills:Python (essential) SQL Statistical Modeling & Machine Learning Data Analysis and Visualization (e.g. Tableau matplotlib Power BI) Predictive Modeling fundamentals Large Language Models (LLMs) familiarity with APIs and evaluation Agentic AI understanding of agent-based workflows and tool use Generative AI concepts and responsible AI practices

• Cloud & Data Engineering Basics:Data pipelines and version control (Git)

• Experience/Knowledge in these areas are a plus: Natural Language Processing Computer Vision and/or VLMs Time series modelling and/or forecasting Amazon Web Services or equivalent cloud platform Big Data concepts (e.g. Apache Spark).

• Impact & Scope:Contributes to team projects and functional initiatives; impact grows over time with experience and demonstrated capability.

• Complexity:Works on well-defined problems with guidance developing the ability to independently tackle more ambiguous and complex challenges over time.

Cross-Organizational Skills:

• Effective Communication able to explain complex findings clearly in writing and verbally to both technical and business audiences.

• Collaboration works well in team environments builds relationships across functions and contributes to a positive team culture.

• Active Listening engages with stakeholders to fully understand problems before jumping to solutions.

• Learning Agility comfortable with ambiguity and rapid change; picks up new tools and concepts quickly.

• Results Orientation follows through on tasks and contributes to team goals.

• Digital Fluency comfortable operating in AI-augmented workflows.

Sustainable impact is HPs 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 -

Schedule -

Shift -

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