Lead Data Scientist

Position Overview

Join an energetic and diverse international team focused on crafting innovative solutions that reveal the entire consumer journey for our clients. We seek an experienced Data Scientist with advanced programming skills in Python, alongside expertise in statistics, mathematics, econometrics, and panel data analysis, to transform the measurement of consumer behavior across online and physical retail environments.

Role Responsibilities

Contribute to the enhancement and development of our data processing pipelines while innovating new analytical approaches. Progress from handling specific pipeline components to mastering data cleansing, preparation, and validation with large datasets using Python. Develop novel methodologies, formalize them into clear documentation, and collaborate closely with engineering teams to ensure scalable and accurate deployment. Engage with stakeholders to comprehend requirements and ensure alignment. This role suits someone passionate about coding, optimizing data processes, and fostering methodological advances in a cooperative, cross-disciplinary setting.

Candidate Profile

You should have a solid grasp of consumer behavior analytics, panel data projections, and consumer metrics. Proven experience in designing statistical software solutions and managing complex datasets is essential. Familiarity with crowdsourced panels and receipt capture is an advantage.

Key Qualifications

• Minimum 5 years professional experience.
• Advanced degree (Master's or Doctorate) in Data Science, Mathematics, Statistics, or BE/BTech in Computer Science, Data Science or closely related field involving large-scale statistical data analysis.

Core Competencies

• Holistic process understanding with an end-to-end mindset bridging methodology, engineering, and business contexts.
• Expertise in analyzing and interpreting large-scale datasets and communicating actionable insights.
• Proficiency in Python programming, including application of statistical methods such as outlier detection and validation, and experience with PySpark for efficient big data processing.
• Optional skills in SQL and query optimization.
• Strong interpersonal and communication abilities, with experience or interest in supporting cross-functional deployment.
• Commitment to continuous learning and adapting to emerging technologies and tools.

Preferred Skills

• Strong statistical aptitude including data cleaning, sampling, bias mitigation, indirect estimation, and aggregation.
• Software engineering experience, especially in designing and developing robust applications.
• Exposure to cloud computing platforms such as Azure AI, Databricks, and Snowflake, and familiarity with version control tools like GitHub or Bitbucket.

Additional Information

We offer a flexible working environment, volunteer time off, LinkedIn Learning opportunities, and an Employee Assistance Program. Our recruitment process may involve AI-assisted tools aimed at efficiency and fairness, under strict human oversight to minimize bias. Final hiring decisions rest with human evaluators.

Company Overview

NIQ is a global leader in consumer intelligence, providing comprehensive insights on consumer purchasing behavior through advanced analytics and innovative technologies. Following its 2023 combination with GfK, NIQ serves markets totaling over 90% of the global population and operates in more than 100 countries.

Diversity and Inclusion

NIQ is committed to an inclusive workplace reflecting the diversity of the communities and markets it serves, ensuring that all employment decisions are made without discrimination based on race, sex, religion, age, or other protected characteristics.