Company

Qualcomm Asia Pacific Pte. Ltd.

Job Area

Information Technology Group, Information Technology Group > Data Science

General Summary

We are seeking a highly skilled Data Scientist with expertise in AI and Data Science to design, implement, and optimize advanced analytics and machine learning solutions. This role requires strong technical proficiency, business acumen, and innovative thinking to deliver actionable insights and drive data-driven decision-making. The position involves understanding business requirements, translating them into data-driven strategies, and developing solutions that improve operational efficiency and overall business performance.

Responsibilities

• Build and deploy AI/ML workflows, leveraging Large Language Models (LLMs) and AI agents for automation.
• Develop and maintain scalable, reliable data pipelines using tools such as Python, Spark, and Kafka to ensure data accessibility and performance for machine learning applications.
• Gather and interpret business requirements to design data-driven solutions that address key challenges and improve efficiency.
• Collect, clean, and analyze large datasets (structured and unstructured) to identify trends, patterns, and actionable insights.
• Develop predictive and prescriptive models to support decision-making and optimize business processes.
• Create dashboards, reports, and visualizations using tools like Tableau or Power BI to communicate insights effectively to stakeholders.
• Collaborate with cross-functional teams—including business units, data engineers, and software developers—to ensure alignment between analytics solutions and organizational goals.
• Partner with cross-functional teams—including data engineers, software developers, and business stakeholders—to define requirements, integrate systems, and present findings in clear, actionable formats.
  
  
  

Qualifications

• Expertise in Python and the data/ai ecosystem libraries and frameworks.
• Solid foundation in data architecture, statistics, machine learning, deep learning, and data science techniques.
• Experience handling large scale data distributed data for deep analysis.
• Working knowledge of LLMs, Agents and Agentic workflows.
• Demonstrated capability to develop scalable data integrations following best practices for data quality, security, and governance in enterprise environments.
• Hands-on experience with tools and platforms such as:
• Big Data Technologies: Apache Spark, Hive, Presto
• Cloud Platforms: AWS, Azure, GCP
• Databases: SQL, NoSQL, vector databases
• Visualization Tools: Tableau, Power BI
  
• Exceptional analytical and problem-solving skills with a focus on delivering production-grade solutions that drive measurable business impact.
• Preferred 7+ years of hands-on experience in data science, machine learning, or advanced analytics in enterprise-scale environments.
  
  

Education

• Bachelor’s degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related quantitative field.
  
  
  

Minimum Qualifications

• 4+ years of IT-related work experience with a Bachelor's degree.
  
  
  

OR

7+ years of IT-related work experience without a Bachelor’s degree.

Physical Requirements

• Frequently transports and installs equipment up to 20 lbs.
  
  
  

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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