Data Scientist/Software Developer

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

Role Overview

The Data Scientist / Software Developer will take ownership of a lead generation engine built using Kedro pipelines. This individual will be responsible for ensuring the solution remains reliable, maintainable, scalable, and continuously improved over time.

The role requires a strong foundation in Python, including hands-on experience working with Kedro, along with solid SQL skills and comfort working in modern data environments such as Databricks. The candidate should also be able to work effectively with Power BI dashboards and have the maturity and intuition to understand data deeply, identify issues proactively, and drive meaningful enhancements.

Beyond maintenance and troubleshooting, this role is well suited for someone who is curious, takes ownership, enjoys problem-solving, and is eager to contribute to new initiatives involving machine learning and data science.

Key Responsibilities

• Own and manage the existing lead generation engine built on Kedro pipelines

• Refresh, update, maintain, and enhance the codebase to support evolving business needs

• Troubleshoot production and data pipeline issues, identify root causes, and implement durable fixes

• Resolve bugs, improve reliability, and ensure the solution remains stable and scalable

• Develop, optimize, and maintain Python-based data workflows and supporting application logic

• Work with structured and semi-structured data, demonstrating strong intuition and sound judgment in handling data quality, consistency, and usability