Data Engineer-AI

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

Job summary

HP Singapore is seeking a data science professional to analyze complex data, develop models, and generate actionable insights to improve organizational performance. The role emphasizes collaboration with data engineering, visualization of results, and mentoring junior staff.

The candidate typically has 4–7 years of experience in analytics, statistical modeling, and machine learning, with strong programming skills in Python/SQL/R and hands-on experience with Spark and AWS.

Qualifications

• Four-year or graduate degree in Mathematics, Statistics, Economics, Computer Science, Data Science or related discipline.
• Typically 4–7 years of work experience in data analytics, statistical modeling, ML, or related field.

Responsibilities

• Oversee data mining using modern tools and programming languages.
• Develop predictive and prescriptive models of moderate complexity to surface insights and drive action.
• Collaborate with data engineering teams to build data pipelines and improve data assets.
• Create visualizations and communicate findings to technical and non-technical audiences.
• Lead a project team of data science professionals and mentor junior staff.
• Identify improvements by developing new data sources and refining model parameters.

Skills

Algorithms

Data Analysis

Data Mining

Statistical Modeling

Machine Learning

Python

R

SQL

Big Data

Tableau

Natural Language Processing

Deep Learning

Predictive Modeling

Data Visualization

AWS

Apache Spark

Education

Math/Statistics degree

Data Science/CS degree

Tools

Tableau

Apache Spark

AWS

Python

SQL

R

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 designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

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 designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Responsibilities

• Oversees data mining using modern tools and programming languages.
• Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
• Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
• Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
• Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more-complex development projects.
• Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.

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 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.

Preferred Certifications

• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills

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

Cross-Org Skills

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

Impact & Scope

• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity

• Responds to moderately complex issues within established guidelines.

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 (China)

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"