Senior Data Scientist

Job not on LinkedIn

🕒 July 31

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Egis

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

Construction • Consulting • Sustainability

Egis is a leading global architecture, consulting, construction engineering, and operating firm. They collaborate with clients to build a more balanced, sustainable, and resilient world by focusing on transport, infrastructure, and the built environment. With a strong emphasis on sustainability and digital transformation, Egis provides services across the entire project lifecycle, from idea to operation, in over 100 countries worldwide.

📋 Description

• Provide advanced analytics, machine learning, and investigative data support. • Work closely with criminal investigators, auditors, and technical stakeholders. • Develop and maintain predictive models and fraud detection methodologies. • Implement NLP solutions and analytical products for identifying financial fraud. • Transform complex datasets into actionable intelligence using statistical methods. • Analyze large datasets to identify fraud indicators. • Document methodologies, models, and analytical results in accordance with requirements. • Collaborate with Data Engineering to ensure system architecture supports analytics.

🎯 Requirements

• Master's degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or related field; or 10 years of relevant applied experience. • Five or more years of experience developing advanced AI systems and predictive analytics models. • Five or more years of experience applying modern analytic methodologies and statistical modeling techniques. • Three or more years supporting financial fraud investigations or government oversight activities. • Three or more years working with Python and Pandas for advanced data analysis. • Three or more years working within cloud platforms such as Microsoft Azure, AWS, or GCP. • Two or more years of advanced SQL development experience. • Two or more years developing and deploying NLP solutions.

🏖️ Benefits

• Current clearance or ability to obtain a public trust clearance.