Senior Data Scientist at NielsenIQ

Vadodara, gujarat, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Modeling, Data Wrangling, Data Visualization, Statistical Inference, Time Series Analysis, Collaboration, Mentoring, Quality Assurance, Ecommerce Analytics, Forecasting Models, Outlier Detection, Documentation, Continuous Learning, Version Control

Industry

Software Development

Description

Job Description Position Overview As a Senior Data Scientist in the Ecommerce Methods team, you’ll develop and implement data-driven solutions to enhance ecommerce measurement and performance. You’ll design forecasting models, collaborate with cross-functional partners, and ensure the quality and impact of analytics. This role involves solving real-world retail challenges and communicating insights to both technical and non-technical audiences. Key Responsibilities Methodological Development: Collaborate in the design, prototyping, and refinement of data science methodologies to measure online retail performance. Advanced Analytics: Develop, test, and validate statistical and machine learning models addressing revenue forecasting, outlier detection, missing data imputation, and data synthesis. Quality Assurance: Contribute to validation efforts, code reviews, and documentation, promoting reliability and reproducibility in our analytics. Knowledge Sharing: Present findings internally, contribute to technical documentation, and stay abreast of advancements in ecommerce analytics. Collaboration & Support: Partner with colleagues across teams to understand business needs and support the deployment of analytical solutions. Mentor junior team members and contribute to a collaborative team environment. Continuous Learning: Keep up-to-date with the latest trends, tools, and best practices in data science, machine learning, and ecommerce analytics. Qualifications Education: Master’s degree (or higher) in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. Experience: 3+ years of hands-on data science or advanced analytics experience, preferably in ecommerce, retail analytics, or digital marketing. High proficiency in Python, with experience in statistical modeling, machine learning, data wrangling, and visualization. Solid understanding of statistical inference, time series analysis, and machine learning algorithms. Experience with version control (Git) and containerization (Docker) is a plus. 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 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 and implement data-driven solutions to enhance ecommerce measurement and performance. Collaborate with cross-functional partners to design forecasting models and ensure the quality and impact of analytics.