Data Scientist / Engineer

Job Description

Job Description

Location : Houston, TX

Clearance : DHS Suitability - nice to have

US Citizenship is required

Experience : 5+ years

Remote / Hybrid / Onsite : 100% Onsite work (non-negotiable)

Skill Level Desired Years Exp Senior5-10Expert11-15Subject Matter Expert16+

Full Time : Direct Hire

No 3rd Party Vendors - No exceptions

Note : Available Immediately & Benefits posted below

Introduction

Our client seeks a skilled Data Scientist / Data Engineer to join our team and support the Houston Field Office. In this role, you will analyze large and complex datasets to aid in cybercrime investigations, develop ETL processes, and collaborate closely with cybercrime investigators and forensic analysts to enhance investigative outcomes.

Role

• Analyze large and complex datasets to identify patterns, anomalies, and trends that can aid in cybercrime investigations.
• Utilize advanced statistical methods and algorithms to extract actionable insights from data.
• Develop and implement ETL (Extract, Transform, Load) processes to ensure data is efficiently processed and integrated.
• Design and optimize data indexing and search processes to facilitate efficient data retrieval and discovery.
• Work closely with cybercrime investigators and forensic analysts to provide data-driven insights that enhance investigative outcomes.
• Participate in cross-functional teams to integrate data engineering methodologies into ongoing investigations.
• Create data visualizations and dashboards to present findings in an easily interpretable manner for both technical and non-technical stakeholders.
• Prepare detailed reports and presentations for internal and external audiences.
• Contribute to the development and refinement of internal analytics tools and platforms, enhancing the overall effectiveness of data-driven investigations.
• Develop prototypes and algorithms to support specific investigative needs.
• Understand and apply Large Language Models (LLMs) to traditional Natural Language Processing (NLP) problems.
• Utilize LLMs to triage unstructured text and extract relevant information for investigations.
• Bachelor’s degree in data science, Statistics, Computer Science, or a related field.
• Minimum of 5+ years in data analytics or data engineering, preferably with a focus on cybercrime or financial investigations.
• Proficiency in programming languages such as Python, R, or similar.
• Proficiency with ETL processes and data integration.
• Strong knowledge of data indexing, search, and discovery techniques.
• Proficiency in database systems and SQL.
• Strong analytical and problem-solving skills.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work collaboratively in a team environment.
• Experience in developing and implementing algorithms and prototypes.
• Understanding of Large Language Models (LLMs) and their application to NLP problems.
• Experience with traditional NLP techniques and tools.
• Experience in cybercrime investigations or a related area.

Salary / Rate :

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