Senior Staff Engineer - Data Science
Nagarro
Senior Staff Engineer - Data Science at Nagarro is a full time role based in Remote · Guadalajara, Guadalajara, , Mexico (remote). It was published on 7 September 2026 and was open at last check.
| Role | Senior Staff Engineer - Data Science |
|---|---|
| Company | Nagarro |
| Location | Remote · Guadalajara, Guadalajara, , Mexico (remote) |
| Employment type | Full Time |
| Published | 7 September 2026 |
| Status | Open at last check |
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
- 8+ years of experience in Data Science
- Machine Learning, AI, or related fields.
- 2+ years of hands-on experience with Generative AI and Large Language Models (LLMs).
- Strong hands-on experience with AWS Bedrock and building enterprise GenAI applications.
- Experience working with Foundation Models and LLM APIs.
- Strong understanding of: Prompt Engineering Retrieval-Augmented Generation (RAG)
- Embeddings and Vector Search Semantic Search Context Management LLM Evaluation AI Guardrails and Responsible AI Strong programming skills in Python.
- Experience with ML and data science libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.
Job Description:
- Provide KTLO support for the current implementation. Learn and retain knowledge of business and team development processes.
- Collaborate with onshore team.
- Provide technical impact and root cause analysis on production issues.
- Perform Incident Management and Defect Resolution.
- Create regular status reporting.
- Provide long-term enhancements towards modernization & new development efforts. Adhere to ADRs (architectural decision records), selected tooling, and deliver all new services/products in technology agreed upon and supported by engineering leadership. Design solutions.
- Adhere to agile delivery practices to facilitate small, quick changes and tighten feedback loops with low volatility.
- Create POCs if necessary.
- Develop high-quality code.
- Conduct Code reviews
- Deploy features using identified tools and processes.
- Provide detailed documentation and process flow diagrams.
- Write Test automation Scripts.
- Perform Logging and Monitoring
- Maintenance and support for feature and defect tracking
Must have skills: AWS Bedrock Good to have skills: Job Description
Create your free OnJob profile to apply — we'll take you to Nagarro's application after sign-up. · Posted 7 Sept 2026.
Senior Staff Engineer - Data Science at Nagarro — questions answered
What does the Senior Staff Engineer - Data Science role at Nagarro pay?
Nagarro does not publish a salary on this Senior Staff Engineer - Data Science listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Is the Senior Staff Engineer - Data Science role at Nagarro remote?
Yes — Nagarro advertises this Senior Staff Engineer - Data Science role as remote, tied to Remote · Guadalajara, Guadalajara, , Mexico, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Nagarro before you apply.
Is the Senior Staff Engineer - Data Science role at Nagarro still open?
The Senior Staff Engineer - Data Science posting at Nagarro was open at OnJob's last check of the employer's careers page, having been published on 7 September 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Senior Staff Engineer - Data Science role at Nagarro?
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