> Markdown version of [/jobs/ext/3685518-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/3685518-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** PepsiCo - **Location:** Legutio, Spain - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Confluence, JIRA, Big Data, Cloudera Impala, Extract Transform Load (ETL), Data Security, Apache Hive, Python (Programming Language), Machine Learning, Service Design, SQL Databases, Data Processing, Deep Learning, Git, Pyspark, Information Technology, Data Analytics, Software Version Control, Docker, Jenkins - **Published:** October 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c7de32e7169c6f19 ## About the Role * 4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. * 4+ years' experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis. * 4+ years' experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus. * 4+ years' experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development. * Expertise in creating models that captures the impact of input drivers on KPIS * Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. * Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities * Experience with Agile methodology for team work and analytics 'product' creation. Fluent in Jira, Confluence. * Experience in Simulation and Optimization problems in any space is a plus. * Experience with Responsible AI is a plus. * Experience with distributed machine learning is a plus * Experience in Retail, E-commerce or Financial Services domain is preferred. * Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required * Hands on experience of handling large data sets and use of python/PySpark/SQL/Hive/Impala for data analysis * Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work. * Outstanding written and verbal communication skills ## Description We are looking for seasoned data scientist to join our team as we continue to grow our capability footprint across regions.The DS will be part of a collaborative interdisciplinary team around data, where will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. DS will work closely with process owners, product owners and final business users. Responsibilities: * Contribute to best practices for engineering, and coding as part of a world class engineering team in PepsiCo. * Work with the product team leveraging our core technology platforms * Active contributor to code development in projects and services * Act as contributor in innovation activities * Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. * Partner with DS and ML engineers working on industrialization. * Occasionally, coordinate work activities with Business teams, other IT services and as required. * Communicate with business stakeholders in the process of service design, training and knowledge transfer. * Support large-scale experimentation and build data-driven models. * Set KPIs and metrics to evaluate analytics solution given a particular use case. * Refine requirements into modelling problems. * Influence product teams through data-based recommendations. * Research in state-of-the-art methodologies. * Create documentation for learnings and knowledge transfer. * Create reusable packages or libraries.