Data Scientist

🔥 20 hours ago

🇺🇸 United States – Remote

💵 $107.9k - $195.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🔒 Cybersecurity

🔬 Science

Defense • Cybersecurity • Science

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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. • 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. • Ingest and process desktop activity/event logs generated from task mining tools, mapping UI interactions to higher-level process steps.

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, or a related technical field; additional years of experience may be substituted in lieu of a degree. • 8+ 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, SQL Alchemy, etc.). • Demonstrated experience working with event logs, transaction logs, or time-series data in an analytical context. • Familiarity with process mining concepts including case ID, activity, timestamp 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. • U.S. citizenship required.

🏖️ Benefits

• Health and Wellness programs • Income Protection • Paid Leave • Retirement