Data Scientist II, Product Data & Analytics

Role Overview

The Product Data & Analytics team builds internal analytics partnerships that strengthen focus on business health, portfolio performance, revenue optimization, initiative tracking, new product development, and go-to-market strategies.

What You Will Do

Partner with global and regional teams to design, develop, and maintain advanced reporting and data visualization capabilities using large-scale data sets across products, markets, and services.

Why It Might Be a Fit

We are looking for a Data Scientist II who is excited by the value that data assets can bring to an organization, an advocate for data-driven decision-making, and motivated to be part of a global analytics team that builds large-scale analytical capabilities for users across continents.

Requirements

• 3–5 years of experience in data engineering and management, data mining, data analytics, reporting, data product development, or quantitative analysis
• Advanced SQL skills, including the ability to write optimized queries for large data sets
• Experience writing stored procedures, functions, and views is preferred
• Experience with platforms and environments such as Databricks, Cloudera Hadoop, big data technology stacks, SQL Server, Microsoft BI Stack, cloud platforms, Snowflake, and related technologies
• Exposure to Python, Scala, Hive, Impala, Spark, cloud technologies, and related tools
• Experience creating data pipelines using tools such as Alteryo, SSIS, or similar platforms
• Experience with at least one data visualization tool, such as Power BI, Tableau, or a similar platform
• Exposure to AI, machine learning, or agent creation is a plus
• Advanced knowledge of job scheduling tools such as Apache Airflow, NiFi, or similar workflow orchestration tools
• Experience applying data validation, quality control, and cleansing processes to new and existing data sources

Benefits

• Competitive salary
• Benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Flexible work arrangements
• Comprehensive health insurance
• Retirement plan
• Paid time off
• Paid holidays
• Employee assistance program