Data Scientist

The Leidos Digital Modernization Sector is seeking a Data Scientist; this position will allow for full time telework from any U.S. based location.

POSITION SUMMARY:
We are seeking a skilled Data Scientist with deep expertise in ETL (Extract, Transform, Load) pipeline development and process mining to join our Operations Excellence 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 model development.
• Manage iterative data pulls as process models are refined and additional data requirements are identified by analysts and stakeholders.

Process Mining & Model Development

• Load event log and transaction log data into IBM Process Mining and configure case, activity, and timestamp mappings.
• Collaborate with process analysts to build, validate, and iterate on process models that accurately reflect real-world workflows.
• Support root cause analysis, conformance checking, and performance analysis within IBM Process Mining.
• Identify bottlenecks, deviations, and rework loops in process data and communicate findings to business stakeholders.

Task Mining & Event Log Analysis

• Ingest and process desktop activity/event logs generated from task mining tools, mapping UI interactions to higher-level process steps.
• Correlate task mining data with system-level transaction logs to produce enriched, end-to-end process views.
• Validate task mining event structures and resolve data quality issues prior to model ingestion.

Collaboration & Documentation

• Partner with IT, database administrators, and application owners to gain data access and understand source system schemas.
• Document ETL pipelines, data dictionaries, transformation logic, and model configurations for repeatability and auditability.
• Communicate data limitations, assumptions, and model constraints clearly to non-technical stakeholders.
• Support process improvement initiatives by providing >

  For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.