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
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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
