Software Engineer at NielsenIQ

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Machine Learning, Scikit-learn, Pandas, Data Modeling, Data Architecture, Bitbucket, Linux/Unix, Shell Scripting, Statistics, Probability, TDD, Root Cause Analysis, Algorithm Development, Azure

Industry

Software Development

Description

Job Description About Job Software Engineer- Python, Chennai Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Python Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. As a market research company, we had lot of data analytics, machine learning requirements being implemented in various applications. Our CDAR Platform had various usecase which incorporated AI/ML and Data analytics. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune. Responsibilities Understanding user needs and how they fit into the overall, global solution design Prototyping new features and integrations aligned to business strategy by introducing innovation through technology Following source & test-driven development best practices Troubleshooting and identifying root cause analysis while resolving the issues Write complex, maintainable code to develop scalable, flexible, and user-friendly applications. Importing/Collecting, cleaning, converting and analyzing the data for the purpose of finding insights and making conclusions. Train models, fine tune parameters for maximum efficiency and deploy models. Actively participate in building algorithms for solving complex problems with design and development. Take ownership of the projects and ensure timely deliveries. Collaborate with diverse teams across time zones. Qualifications Minimum of 2 years of experience in large scale production systems and in languages such as Python/R Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 years' experience in ML production systems and in software development Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Fluent in processing data with pandas (e.g., querying, transforming, joining, cleaning, etc.) including experience debugging logic and performance issues Strong understanding of machine learning algorithms with experience writing, debugging, and optimizing ML data structures, pipelines, and transformations Knowledge of statistics, probability, or a related discipline Extensive data modelling and data architecture skills Strong knowledge of version control tools, preferably Bit bucket Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to work as part of a Global Team Strong troubleshooting and problem-solving skills Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Responsibilities

Develop scalable Python applications and implement AI/ML models for data analytics within a global ecosystem. Responsibilities include prototyping new features, cleaning data for insights, and collaborating with cross-functional teams to solve complex problems.