Lead Data Scientist – Finance & Accounting Automation
Reads like a ML Engineer role: putting models into production.
Hyderabad, TS, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingThe Data Scientist – Record to Report will focus on designing, developing, and maintaining AI-driven solutions that support and enhance R2R processes.
Data Science, AI & Automation Delivery: ~80%
Design, build, deploy and maintain AI/ML solutions for R2R use cases
Develop Python data pipelines for ERP and finance data
Build and maintain ML models, LLM tools, or AI agents for R2R productivity
Monitor model performance, data quality and drift; improve models after deployment
Partner with Enterprise AI, IT and Data Platform teams on integration and deployment
From the employer’s posting
The Data Scientist – Record to Report will focus on designing, developing, and maintaining AI-driven solutions that support and enhance R2R processes. This role is primarily hands-on and technical, with a strong emphasis on machine learning, data engineering, and applied AI. The role does not own accounting processes, close execution, controls, or SOX responsibilities.
Data Science, AI & Automation Delivery: ~80%
Design, build, deploy, and maintain AI/ML solutions supporting R2R use cases
Develop Python-based data pipelines for ERP and finance data sources.
Build and maintain ML models, LLM-powered tools, or AI agents augmenting R2R productivity.
Monitor solution performance, data quality, and model drift; continuously improve models post-deployment.
Partner with Enterprise AI, IT, and Data Platform teams for integration and deployment.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.
Qualification wording
Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience.
Education & alternatives
Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field. * 4–6+ years of hands-on experience in data science, analytics, or machine learning.
Minimum Qualifications: • Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
• Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. • 3+ years of Data Science or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience. 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).
Tools in this posting
- Python
Source — Tool mentions in context
* Design, build, deploy, and maintain AI/ML solutions supporting R2R use cases such as anomaly detection, predictive analytics, and intelligent data validation. * Develop Python-based data pipelines for ERP and finance data sources. * Build and maintain ML models, LLM-powered tools, or AI agents augmenting R2R productivity.
* 4–6+ years of hands-on experience in data science, analytics, or machine learning. * Strong proficiency in Python and common data science libraries. * Experience building, training, and deploying ML models or AI solutions.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 15, 2026 · 77 days ago
- Recorded sightings
- 125
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.qualcomm.com. The employer’s form will show what is required.
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Job description
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- Pay
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- Location & working pattern
Hyderabad, TS, IN
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