Senior Data Scientist
NXP Semiconductors
Senior Data Scientist at NXP Semiconductors is a full time role based in Bangalore, India. It was published on 1 July 2026 and was open at last check.
| Role | Senior Data Scientist |
|---|---|
| Company | NXP Semiconductors |
| Location | Bangalore, India |
| Employment type | Full Time |
| Published | 1 July 2026 |
| Status | Open at last check |
Are you ready to join the future of innovation at NXP?
As a Data Scientist, you will directly contribute to increasing the speed and cost efficiency of NXP’s New Product Introductions. Your work will enable data driven decision making in R&D through high quality insights, automated reporting, and scalable analytics products.
Working closely with data engineers and data scientists, you will help define the future of R&D analytics at NXP. You build robust, automated, and user friendly dashboards and reports that empower our R&D community with self service business intelligence capabilities.
This is what you will do as Data Scientist at NXP
As part of the Hardware Design Analytics team, you will innovate and evolve the analytics products that support our R&D organization. You will have plenty of room for new ideas, experimentation, and technology improvements collaboration is at the core of how we work.
Your key responsibilities
- Stakeholder Collaboration: Work with project managers, resource managers, IT teams, and other stakeholders to gather requirements, define project scope, and ensure alignment with business objectives.
- Data Analysis: Collect, analyze, and interpret datasets from R&D projects to uncover trends, key performance indicators, risks, and opportunities. Translate complex data into meaningful business insights through reliable, high quality visualizations and clear analytical storytelling.
- Dashboarding & Reporting: Design, develop, and maintain powerful and trustworthy dashboards and automated reports using Python. Ensure that visualizations clearly communicate insights and support impactful decision making. Gather user feedback and iterate to continuously improve usability and impact.
- Machine Learning & AI Development: Build and deploy ML models (e.g., forecasting, NLP, optimization, automation) to improve R&D efficiency and quality. Ensure proper evaluation, explain ability, and production monitoring.
- Data Engineering Support: Collaborate with data engineers to improve data pipelines, data quality, and data models used for reporting and analytical products.
- Automation & DevOps: Build analytics solutions with a DevOps mindset ensure reproducibility, automation, and quality by leveraging CI/CD pipelines, version control, and modern development practices.
What you bring
You can describe yourself as follows:
Education & Experience
- Education: A master’s degree in Business Intelligence, Data Engineering, Data Science, Software Engineering, Computer Science, or a related field.
- Experience: 3+ years of experience as a Data Scientist, preferably within a complex IT or R&D environment.
Technical Skills
- Coding: Strong proficiency in Python and SQL, including experience working with data processing libraries and frameworks. Hands on experience with Shiny, Plotly and other python visualization packages is a big plus.
- Visualization: Experience building dashboards and reports, and a passion for data visualization and user ‑ centric design.
- Machine Learning: Experience in ML and AI frameworks (e.g., scikit ‑ learn, PyTorch, TensorFlow, XGBoost).
- Automation: A strong interest in automation, cloud technologies, Infrastructure as Code (preferably using CDK), DevOps practices, and CI/CD pipelines (preferably using Gitlab).
Professional Attributes
- Strategic Problem-Solving: Comfortable owning technical challenges and designing long term, scalable solutions.
- Customer & Stakeholder Focus: Strong communicator who can translate technical concepts into business value and collaborate effectively across data science, architecture, and wider R&D.
- Team Mindset: A natural collaborator who contributes to an open, supportive working culture
- Agile & Scrum: Experienced working in Agile environments, actively participating in sprints, stand ups, and iterative delivery cycles to ensure continuous improvement and timely value delivery.
Create your free OnJob profile to apply — we'll take you to NXP Semiconductors's application after sign-up. · Posted 1 Jul 2026.
Senior Data Scientist at NXP Semiconductors — questions answered
What does the Senior Data Scientist role at NXP Semiconductors pay?
NXP Semiconductors does not publish a salary on this Senior Data Scientist 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.
Where is the Senior Data Scientist role at NXP Semiconductors based?
NXP Semiconductors lists this Senior Data Scientist role in Bangalore, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with NXP Semiconductors before you apply.
Is the Senior Data Scientist role at NXP Semiconductors still open?
The Senior Data Scientist posting at NXP Semiconductors was open at OnJob's last check of the employer's careers page, having been published on 1 July 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 Data Scientist role at NXP Semiconductors?
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