Lead Data Scientist

About the Role

Join an international, diverse team devoted to creating groundbreaking solutions that fully map consumer journeys for clients. We are looking for an experienced Data Scientist with strong programming expertise, especially in Python, alongside solid capabilities in statistics, mathematics, and econometrics, including working with panel data. Your work will revolutionize measurement of consumer behavior both online and offline.

The position will involve developing a tool to simulate the effects of changes in production processes on client data outside the factory, enabling the broader Data Science team to innovate more efficiently.

You will be instrumental in enhancing the data processing pipeline and pioneering new analytical approaches. Starting by managing discrete parts of the pipeline, you will advance to becoming an expert in data cleaning, preparation, and rule validation, handling large datasets using Python. You will design new methods, specify them precisely, and collaborate closely with engineering to ensure scalable, accurate deliveries. Regular interactions with stakeholders will allow you to understand requirements and align efforts. This role suits someone passionate about hands-on coding, data process optimization, and methodological advancement within a collaborative, cross-disciplinary team.

Required Qualifications and Skills

• Minimum of 5 years professional experience.
• Master’s or Doctorate degree in Data Science, Mathematics, Statistics, or a Bachelor's degree such as BE/BTech in Computer Engineering, Computer Science, Data Science, or related domains involving statistical analysis of large datasets.
• Strong knowledge of consumer behavior analytics, panel data projections, and consumer metrics is preferred.
• Successful track record in designing and implementing software solutions using statistical and analytical methods for complex data.
• Experience with (un)managed crowdsourced panels and receipt capture methods is advantageous.
• Comprehensive grasp of end-to-end processes connecting methodology, engineering, and business contexts.
• Advanced skills in data analysis, interpretation, and presenting actionable insights.
• Expert proficiency in Python programming, implementing statistical methods such as outlier detection, with a focus on efficiency using PySpark. Knowledge of SQL and query writing is a plus.
• Excellent communication, writing, and collaborative abilities with cross-functional teams, particularly in production deployment support.
• Commitment to continuous learning and adaptation of new technologies and tools.

Preferred Additional Skills

• Robust statistical methodology, including data cleaning, outlier validation, sampling techniques, bias mitigation, indirect estimation, and data aggregation.
• Software engineering expertise in designing and developing software applications.
• Familiarity with cloud computing platforms such as Azure AI, Databricks, and Snowflake, along with experience using version control systems like GitHub or Bitbucket.

Additional Information

• Flexible working environment to support work-life balance.
• Volunteer time off available for engagement in community service.
• Access to professional development resources such as LinkedIn Learning.
• Employee Assistance Program (EAP) to support mental health and well-being.

Recruitment Process Transparency

The company employs AI tools throughout recruitment (resume screening, assessment, scheduling, etc.) to ensure fair and consistent evaluation aligned with job requirements. Human decision-making remains final, with ongoing efforts to minimize bias and comply with legal standards. Candidates may request human reviews or accommodations as applicable.

Company Overview

The organization is a global leader in consumer intelligence, providing comprehensive insights into consumer purchasing behavior to identify growth opportunities. In 2023, it merged with a major industry participant, expanding its global reach to over 100 markets and covering 90% of the world’s population.

Diversity and Inclusion Commitment

Committed to fostering an inclusive workplace that reflects diverse communities, the employer ensures all hiring and employment decisions are made without discrimination based on any protected characteristic. The company invites individuals dedicated to equity and inclusion to make a meaningful difference together.