Lead Data Scientist

About the Role

Join a global, multifaceted team focused on crafting innovative solutions to fully map client consumer journeys. This role calls for an experienced Data Scientist proficient in Python programming, with strong foundations in statistics, mathematics, and econometrics, particularly skilled in working with panel data to transform how consumer behavior is evaluated in both digital and physical retail environments.

You will be instrumental in creating a simulation tool intended to model how changes in production processes affect client data, offering the Data Science team a groundbreaking way to enhance efficiency beyond the factory floor.

Responsibilities

As a Lead Data Scientist, you will progressively manage components of the data processing pipeline, advancing from specific task ownership to expertise in data cleaning, preparation, and validation using Python with extensive large datasets. You will innovate new methodologies, translate those into explicit technical specifications, and collaborate with engineering teams to develop scalable, precise implementations. Close interaction with stakeholders to discern needs, collect requirements, and ensure alignment is also key. This position suits candidates passionate about coding, refining data workflows, and pioneering analytical methodologies within a cooperative, multidisciplinary team.

Required Qualifications and Skills

• Minimum of five years professional experience in relevant fields
• Advanced degree (Master's or Doctorate) in Data Science, Mathematics, Statistics, or a Bachelor's in Computer Engineering, Computer Science, or a related discipline involving statistical analysis of extensive data sets
• Solid understanding of consumer behavior, panel-based projections, consumer metrics, and analytics
• Proven history developing software applying statistical and data analytical techniques
• Experience handling complex large datasets effectively
• Expertise in Python programming with practical application of statistical methods such as outlier validation
• Skilled in efficiently processing large datasets, ideally with PySpark
• Optional familiarity with SQL and query languages
• Strong communication, collaboration, and writing skills, with interest or experience in supporting cross-functional production deployments
• Keen on continuous learning and adopting advancing technologies and tools

Preferred Additional Skills

• Deep statistical knowledge including data cleaning, outlier detection, sampling, bias mitigation, indirect estimation, and aggregation techniques
• Software engineering capability with experience in software development and design
• Familiarity with cloud computing platforms such as Azure AI, Databricks, Snowflake
• Experience with version control systems like GitHub or Bitbucket

Benefits and Other Information

• Flexible work environment
• Volunteer time off
• Access to professional development via LinkedIn Learning
• Employee Assistance Program (EAP)

This company leverages AI technologies in parts of the hiring workflow to streamline and promote fair evaluation, with all final hiring decisions made by human recruiters. The team values diversity, equity, and inclusion, committing to an unbiased workplace where all individuals are welcome and employment decisions are made without discrimination.

About the Company

The employer is a leading global consumer intelligence company providing comprehensive insights into consumer purchasing behavior and growth opportunities through advanced analytics platform solutions. With coverage spanning over 100 markets and more than 90% of the world's population, the company is a portfolio entity of Advent International and recently merged with a major competitor to expand its reach and data capabilities.