Qualcomm Data Scientist Job Openings 2026 :-
Qualcomm is hiring candidates for the role of Data Scientist for the Hyderabad, Telangana, India locations. The complete details about Qualcomm Data Scientist Job Openings 2026 are as follows.
| Company Name:- | Qualcomm India Private Limited |
| Required Education: | Bachelor’s degree in Data Science, Computer Science, Finance, Accounting, Economics, Engineering, or related field. |
| Required Skills: | Strong analytical and problem-solving skills with structured enterprise datasets. Proficiency in Python for data analysis, modeling, and automation. |
| Job Category: | Data Science – Finance (Opex Analytics & Automation) |
| Role Type: | Individual Contributor (IC) |
Qualifications
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
- 1+ year of Data Science or related work experience.
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Finance, Accounting, Economics, Engineering, or related field.
- 4+ years of relevant experience in data science, analytics, or finance analytics roles.
- Strong analytical and problem-solving skills with structured enterprise datasets.
- Proficiency in Python for data analysis, modeling, and automation.
- Ability to communicate analytical insights effectively to non-technical stakeholders.
Preferred Qualifications
- Master’s degree in a quantitative or finance-related discipline.
- Experience supporting Opex, FP&A, or cost management functions.
- Exposure to AI/ML or LLM-based solutions in enterprise environments.
- Experience with automation tools such as Power Automate or n8n.
- Experience with Data bricks, Power BI or Tableau.
Key Responsibilities
Data Science, AI & Automation
- Build and maintain Python‑based datasets, analytical models, and automation workflows using enterprise finance data.
- Design and deploy scalable analytics and automation solutions to reduce manual reporting and recurring analysis effort.
- Apply statistical, forecasting, and AI‑enabled techniques where appropriate, ensuring explainable, auditable, and finance‑compliant outputs.
- Develop AI/ML and GenAI solutions (including LLMs, AI agents, and context‑aware orchestration such as Model Context Protocol where applicable) for finance use cases such as forecasting, anomaly detection, reconciliations, and journal support.
- Integrate analytical and AI solutions with enterprise systems such as Oracle ERP, SAP, TM1 systems.
- Validate data quality, logic, and outputs to meet Finance governance, controls, and audit requirements.
Collaboration, Adoption & Enablement
- Enable adoption of analytics and automation through standardized dashboards, templates, and self‑service tools.
- Create high‑quality documentation covering logic, assumptions, reconciliations, and usage guidance.
- Drive change management by developing training materials and partnering with stakeholders to scale usage.
- Collaborate with IT and enterprise teams to align solutions with data, security, and AI governance standards.
Skills Required
Opex Analytics & Finance Insights
- Analyze Opex actuals, budget, and forecast data to identify key drivers, risks, and variance trends.
- Develop repeatable analytics for run-rate analysis, spend trends, target utilization, and forecast accuracy.
- Translate finance business questions into structured analytical approaches, metrics, and assumptions.
- Deliver clear, management-ready insights and visualizations to FP&A and Finance leadership.
Strategic Contribution
- Define KPIs and success metrics to measure the impact of analytics and AI initiatives in Finance.
- Stay current with advancements in generative AI, agent‑based systems, and enterprise AI governance.
- Present insights, proposals, and recommendations to senior Finance leaders and executive stakeholders
Qualcomm Data Scientist Job Openings 2026 Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
