Senior Data Scientist

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 & Dev Ops: Build analytics solutions with a Dev Ops 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, Py Torch, Tensor Flow, XGBoost). Automation: A strong interest in automation, cloud technologies, Infrastructure as Code (preferably using CDK), Dev Ops 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 & Io T, 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. Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.