Sr. Data Scientist

NielsenIQ; Vadodara; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ in Vadodara, India is seeking a dedicated individual to join their global team focused on developing E-Commerce products. The role requires expertise in data analysis, statistical techniques, and familiarity with E-Commerce and Consumer-related knowledge. Candidates should possess a relevant degree and at least 3 years of experience. The company offers a flexible work environment and values diversity and inclusion in the workplace.

Qualifications

• At least 3 years of experience in related fields.
• Experience in high-level programming languages (Python preferred).
• Knowledge in SQL, with experience working with queries and large databases.

Responsibilities

• Evaluate current E‑Commerce Product methodologies for enhancements.
• Research new methodologies and quantify improvements.
• Deliver methodology enhancements to improve client perspectives.

Skills

Data analysis

Problem-solving skills

E-Commerce knowledge

Statistical analysis

Business acumen

Communication skills

Education

Bachelor’s / Master’s / Doctorate Degree in Data Science, Mathematics, Statistics

Tools

Python

SQL

Job description

About the job

You will work with a global team dedicated to the development of E‑Commerce products and new methodologies to measure how people shop online. We are looking for someone to support our E‑Commerce offerings in the South‑East Asia markets.

Ideally, you should have familiarity with e‑commerce data, retailer data and panel data, and exposure to business intelligence or market research. Additionally, you should have experience with modelling/statistical techniques and data quality analysis and improvement.

You should have a passion for challenging data opportunities!

Responsibilities

• Evaluate current E‑Commerce Product methodologies to identify opportunities for enhancement
• Research new methodologies and quantify their improvement
• Deliver on methodology enhancements to E‑Commerce products, improving overall quality from client perspective
• Deliver codebase and documentation to local Data Science, Technology and Operations teams
• Prototype as well as support pilot programs to drive innovation.

Qualifications

• Bachelor’s / Master’s / Doctorate Degree in Data Science, Mathematics, Statistics or related fields involving statistical analysis of large data sets
• At least 3 years’ experience
• E‑Commerce and Consumer‑related knowledge
• Strong attitude for data analysis and problem‑solving skills
• Drive to continuously learn and adopt new technologies and tools
• Experience in high‑level programming languages (Python preferred)
• Knowledge in SQL, working with queries and large‑scale databases
• Excellent statistical and logic skills. Experience in trend analysis, sampling, bias reduction, data aggregation and model validation techniques
• Strong communication, presentation and collaboration skills
• Ability to effectively convey complex concepts to non‑experts
• Business acumen, the ability to link client’s needs with the business

Additional Information

• Flexible working environment
• Volunteer time off

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