Nielsen
Full Stack Developer (AI & Data Visualization Focus)
Company
Role
Full Stack Developer (AI & Data Visualization Focus)
Location
Job type
Full-time
Found on Mokaru
🔥Recently
Salary
Job description
End-to-End Development: Design, develop, and maintain scalable full-stack applications using Python (Django/Flask/FastAPI) and modern front-end frameworks (e.g., React, Vue, or Angular).
System Architecture: Build and optimize RESTful APIs and microservices to connect data layers with user-facing applications.
Data Integration: Develop and manage workflows/pipelines to extract data from cloud tables (SQL, Spark) and integrate them into application features.
AI Implementation: Leverage AI techniques and advanced prompting to build "intelligent" features, such as automated summaries, predictive text, or smart search within applications.
Data Visualization: Integrate Tableau dashboards or custom JavaScript libraries (D3.js, Chart.js) into applications to provide interactive, "always-on" insights.
Database Management: Design and maintain efficient database schemas and handle ETL processes necessary for application performance.
Innovation: Stay abreast of emerging full-stack, visualization, and AI tools, continuously optimizing the software development life cycle (SDLC).
Collaboration: Support ad-hoc requests and translate technical architecture into layman’s terms for business stakeholders.
- Education: Bachelor degree in Computer Science, Software Engineering, Mathematics, or a related technical field.
- Experience: 2+ years of experience in Full Stack development, with strong expertise in Python, SQL, and JavaScript
- Back-end Expertise: Proficiency in Node.js or Python-based frameworks, and experience with PySpark for large-scale data processing.
- Front-end Expertise: Strong command of HTML5, CSS3, and modern JavaScript frameworks for building responsive user interfaces.
- AI Mastery: Deep understanding of AI prompting techniques and experience integrating LLMs or machine learning models into production software.
- Cloud & Data: Hands-on experience with AWS or GCP and a solid understanding of data warehousing and ETL concepts.
- Visualization: Extensive knowledge of Tableau and the ability to embed complex visualizations into custom web environments.
- Soft Skills: Excellent communication skills, strategic thinking, and the ability to work independently or collaboratively to solve complex product problems.
We Offer
·A challenging work environment with opportunities for continuous growth in AI and Software Engineering.
· The chance to build the tools that power the world's leading media measurement company.
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.


