Senior Data Scientist

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Senior Site Reliability Engineer (CI-CD/CTAP/Delivery team)

Okta

In OfficeBengaluru

Apply

Senior Machine learning Engineer

Bosch Group

In OfficeBengaluru

Apply

Software Engineer - Kubernetes (K8s) Go (Golang) Python Microservices Linux / Containers Distributed Systems CI/CD , AI-assisted development - 4 to 8 years

Cisco

In OfficeBengaluru

Apply

Manager - AI Engineering

EXL

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• 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.

Who can apply

• 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.

About NXP

Searching for “NXP jobs” or “jobs at NXP”? You’re in the right place.