Data Scientist

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Skills you'll use

What you'll do

• Partner with D&A leadership and business stakeholders to evolve and execute the Data Self-Service and Data Democratization strategy.
• Work directly with functional users to understand self-service data needs across data discovery, reporting, analytics, and advanced use cases.
• Design, build, and curate high-quality datasets to support analytics and reporting use cases, including development of curation tables.
• Strong Experience in SQL and PL/SQL
• Create and maintain data documentation, user guides, and standards in SharePoint to promote adoption and consistent usage.
• Develop and publish logical and physical data models and ER diagrams to support self-service and semantic layers.
• Collaborate with architecture and emerging technology teams on proof-of-concept evaluations of new data, analytics, and AI platforms.
• Help assess whether self-service tools are being used correctly, and guide users toward the most effective tools for their use cases.

Who can apply

• Minimum 3 years of experience in self-service and analytics platforms including Denodo, Dataiku and Power BI .
• Hands-on experience with AI platforms (Copilot Studio, AWS Bedrock) for designing and developing intelligent agents and workflow automation
• Bachelor’s degree in Information Systems, Information Technology, Computer Science, Engineering, or a related field from an accredited institution.
• Hands-on experience or internships in data engineering, data analytics, data warehousing, or business intelligence.
• Strong interpersonal, communication, and presentation skills, with the ability to explain complex technical concepts in clear, business-oriented terms.
• Working knowledge of data engineering and analytics principles, including data modeling, ingestion, transformation, and semantic layer design.
• Basic exposure to advanced analytics concepts such as predictive analytics, data mining, or statistical analysis is a plus.
• Understanding data storage and processing technologies including relational databases, columnar databases, Hadoop or Hive-based platforms.
• Strong Experience in data modeling concepts and tools such as ERwin or ER Studio.
• Working knowledge of SQL and familiarity with technologies such as Spark, HiveSQL, Python, R, Sqoop, and JDBC or ODBC connectivity.

About Wabtec

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