Senior Data Scientist (Engineering-Focused with Methodological Depth)

Vadodara, GJ, India

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NielsenIQ

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Job Description

Job Description

Join a dynamic and diverse global team dedicated to developing innovative solutions that uncover the complete consumer journey for our clients. We are seeking a highly skilled Data Scientist with strong development skills in programming languages such as Python. Additionally, expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior both online and in-store.

Looking ahead, we are excited to find someone who will join our team in developing a tool that can simulate the impact of production process changes on client data. This tool outside of the production factory will allow the wider Data Science team to drive innovation with unpresented efficiency.

About the Role

- Collaborative Environment: Work with an international team in a flexible and supportive setting, fostering cross-functional collaboration between data scientists, engineers, and product stakeholders.

- Tool Ownership and Development: Take ownership of a core Python-based tool, ensuring its continued development, scalability, and maintainability. Use robust engineering practices such as version control, testing and PRs.

- Innovative Solution Development: Collaborate closely with subject matter experts to understand complex methodologies. Translate these into scalable, production-ready implementations within the Python tool. Design and implement new features and enhancements to the tool to address evolving market challenges and improve team efficiency.

- Methodology Enhancement: Evaluate and improve current methodologies, including data cleaning, preparation, quality tracking, and consumer projection, with a strong focus on automation and reproducibility.

- Documentation & Code Quality: Maintain comprehensive documentation of the tool’s architecture, usage, and development roadmap. Ensure high code quality through peer reviews and adherence to best practices.

- Research and Analysis: Conduct rigorous research and analysis to inform tool improvements and ensure alignment with business needs. Communicate findings and recommendations clearly to both technical and non-technical audiences.

- Deployment and Support: Support the production deployment of new features and enhancements. Monitor tool performance and address issues proactively to ensure reliability and user satisfaction.

- Cross-Team Coordination: Coordinate efforts across multiple teams and stakeholders to ensure seamless integration of the tool into broader workflows and systems.

Qualifications

About You

Ideally you possess a good understanding of consumer behavior, panel-based projections, and consumer metrics and analytics. You have successfully designed and developed software applying statistical and data analytical methods and demonstrated your ability to handle complex data sets. Experience with (un)managed crowdsourced panels and receipt capture methodologies is an advantage.

- Educational Background: Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Mathematics, Statistics, Socioeconomics, Data Science, or a related field with a minimum of 3 years of relevant experience.

- Programming Proficiency: Proficient with Python or another programming language, R, C++ or JAVA, with a willingness to learn Python.

- Software Engineering Skills: Strong software engineering skills, including experience designing and developing software; optionally, experience with version control systems GitHub or Bitbucket

- Data Analysis Skills: Proficiency in manipulating, analyzing, and interpreting large data sets.

- Data Handling: Experience using Spark, specifically with PySpark package, experience working with large-scale datasets. Optionally, experience in SQL and working with queries.

- Continuous Learning: Eagerness to adopt and develop evolving technologies and tools.

- Statistical Expertise: Statistical and logical skills, experience in data cleaning, and data aggregation techniques.

- Communication and Collaboration: Strong communication, writing, and collaboration skills.

 

Nice to Have

- Consumer Insights: Knowledge of consumer behavior and (un)managed consumer-related crowdsourced panels.

- Technology Skills: Familiarity with technology stacks for cloud computing (AzureAI, , Databricks, Snowflake).

- Production Support:Experience or interest in supporting technology teams in production deployment.

Additional Information

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

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

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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Tags: Architecture Bitbucket Computer Science Data analysis Databricks Econometrics Engineering GitHub Java Mathematics PySpark Python R Research Snowflake Spark SQL Statistics Testing

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Startup environment

Region: Asia/Pacific
Country: India

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