Senior Data Scientist

NXP Semiconductors; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

NXP Semiconductors in India (Bengaluru) seeks a Data Scientist to drive analytics for the Hardware Design Analytics team. You will build ML models, create insightful dashboards, and collaborate across R&D to improve efficiency and quality.

Ideal candidates have a master's degree in a relevant field and 3+ years of data science experience in IT or R&D, with strong Python and SQL skills and experience in data visualization tools.

Qualifications

• Master's degree in BI, Data Eng, DS, SE, or CS.
• 3+ years of experience as a Data Scientist in a complex IT or R&D environment.

Responsibilities

• Stakeholder Collaboration: Gather requirements, define project scope and align with business objectives.
• Data Analysis: Analyze datasets from R&D projects to uncover trends, KPIs, risks and opportunities.
• Dashboarding & Reporting: Design and maintain dashboards and automated reports using Python.
• Machine Learning & AI Development: Build and deploy ML models to improve R&D efficiency and quality.
• Data Engineering Support: Improve data pipelines, data quality and data models for reporting.
• Automation & DevOps: Ensure reproducibility and CI/CD pipelines with modern practices.

Skills

Python

SQL

Data visualization

Shiny

Plotly

Education

Master's degree in Business Intelligence, Data Engineering, Data Science, Software Engineering, or Computer Science

Tools

Shiny

Plotly

Job description

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

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.

More information about NXP in India

#LI-29f4 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment At NXP

We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.