Senior Data Scientist

HP; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

HP in Singapore seeks an experienced Data Scientist to analyze complex data sets, build predictive and prescriptive models, and drive business value through data-driven insights.

The role requires expertise in Python, SQL, Spark and ML, with a focus on scalable end-to-end analytics across diverse business units. You will mentor juniors and lead cross-functional data projects in a dynamic environment.

Qualifications

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 5-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
• Demonstrated experience delivering end-to-end data science projects, including defining problem statements, developing technical solutions, and driving measurable business outcomes at scale.

Responsibilities

• Leads data mining using modern tools and programming languages.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Strategizes models to uncover patterns and predictions creating business value and innovation, applying clear, structured approaches to problem definition, data exploration, and solution development.
• Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives, and translates business problems into actionable analytical frameworks.
• Ties insights into effective visualizations communicating business value and innovation potential, with the ability to simplify complex technical concepts into clear, business-relevant insights.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution, balancing efficient design with practical execution approaches.
• Writes clean, well-structured and maintainable code that is easily understood and reusable by team members, following best practices in model development and deployment.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Represents the data science team for all phases of larger and more-complex development projects, demonstrating strong ownership across the end-to-end lifecycle from problem framing to solution delivery.
• Provides guidance, training and mentoring to less experienced staff members.

Skills

Python

SQL

Spark

Big Data

Data Analysis

Data Mining

Data Science

Data Visualization

Algorithms

Machine Learning

Deep Learning

Natural Language Processing

Statistical Modeling

Statistics

Programming

Education

Bachelor's or Master’s degree in Math/Stats/CS/Data Science

Tools

AWS

Apache Spark

Job description

• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
• The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation, with a strong emphasis on structured problem solving and end-to-end analytical thinking.
• The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development, ensuring solutions are both practical and scalable in real-world environments.

Description

Job Summary

• This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance.
• The role brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation, with a strong emphasis on structured problem solving and end-to-end analytical thinking.
• The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development, ensuring solutions are both practical and scalable in real-world environments.

Responsibilities

• Leads data mining using modern tools and programming languages.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Strategizes models to uncover patterns and predictions creating business value and innovation, applying clear, structured approaches to problem definition, data exploration, and solution development.
• Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives, and translates business problems into actionable analytical frameworks.
• Ties insights into effective visualizations communicating business value and innovation potential, with the ability to simplify complex technical concepts into clear, business-relevant insights.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution, balancing efficient design with practical execution approaches.
• Writes clean, well-structured and maintainable code that is easily understood and reusable by team members, following best practices in model development and deployment.
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Represents the data science team for all phases of larger and more-complex development projects, demonstrating strong ownership across the end-to-end lifecycle from problem framing to solution delivery.
• Provides guidance, training and mentoring to less experienced staff members.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 5-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.
• Demonstrated experience delivering end-to-end data science projects, including defining problem statements, developing technical solutions, and driving measurable business outcomes at scale.

Preferred Certifications

• Programming Language - Python, SQL, Spark

Knowledge & Skills

• Artificial Intelligence
• Big Data
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Algorithms
• Amazon Web Services
• Apache Spark
• Computer Science
• Deep Learning
• Machine Learning
• Natural Language Processing
• Predictive Modeling
• Python (Programming Language)
• SQL (Programming Language)
• Statistical Modeling
• Statistics

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer

• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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.

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”