Data Scientist

The Enterprise Transformation Office is seeking a skilled Data Scientist with deep expertise in ETL (Extract, Transform, Load) pipeline development and process mining to join our Business Process Reengineering team. In this role, you will serve as the primary data engineer and analyst responsible for extracting and integrating data from a broad range of enterprise systems, applications, and databases, and loading it into our IBM Process Mining platform to enable accurate, actionable process models. This is an iterative, high-impact role: once an initial process model is produced, you will collaborate with process analysts and stakeholders to identify data gaps, refine extractions, and rebuild models to continuously improve fidelity. You will also work with task mining outputs, including desktop event logs, to supplement process discovery efforts. Primary Responsibilities ETL Development & Data Integration Design, build, and maintain ETL pipelines to extract data from diverse enterprise sources including ERP systems, CRM platforms, relational databases (SQL Server, Oracle, PostgreSQL), flat files, and APIs. Transform raw data into structured event logs and case tables conforming to IBM Process Mining ingestion requirements (XES, CSV, or direct connector formats). Perform data profiling, cleansing, deduplication, and normalization to ensure high-quality inputs for process m [... source excerpt omitted ...] and model constraints clearly to non-technical stakeholders. Support process improvement initiatives by providing data-driven insights derived from process model outputs. Basic Qualifications Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related technical field. 3+ years of experience in ETL development, data engineering, or data integration roles. Proficiency in SQL for complex querying, joins, and data transformation across multiple relational database platforms (SQL Server, Oracle, MySQL, PostgreSQL). Experience with Python or R for data manipulation, scripting, and automation (pandas, NumPy, SQLAlchemy, etc.). Demonstrated experi [... source excerpt omitted ...] mp structures, and event log formats (XES or equivalent). Strong data profiling and data quality assessment skills. Ability to work iteratively in a fast-paced environment where requirements evolve based on model outputs. Qualified candidates must be U.S. citizens due to the position’s requirement to access sensitive, controlled data. Preferred Qualifications Hands-on experience with IBM Process Mining (IBM Automated Business Process Discovery / IBM Process Mining platform) or similar tools (Celonis, UiPath Process Mining, Minit). Experience with task mining platforms (e.g., UiPath Task Mining, Microsoft Task Mining) and processing desktop event log data. Familiarity with ETL