Data Scientist

Dubizzle Limited; Tampa (FL); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading technology firm is seeking a talented Data Scientist to design and implement data science solutions. The role requires proficiency in Python, experience with graph traversal languages, and strong SQL skills. Candidates must hold a relevant degree and possess an active Top Secret clearance. This position offers the opportunity to work on innovative analytical projects in a dynamic environment.

Qualifications

• 1-3 years of experience in a similar role.
• Active Top Secret clearance required.
• Experience integrating GPS technology into analytical processes.

Responsibilities

• Collaborate with teams to define new features for automation.
• Design, code, test, and document data science microservices.
• Support integration of disparate data sources into a unified database.
• Develop and optimize graph traversal queries for analyst use cases.
• Extract information from unstructured text related to analysis.

Skills

Proficient in Python programming

Graph traversal languages (Gremlin, Cypher, GraphML)

Strong SQL skills

Knowledge of GPS technology

Experience with AWS

Familiarity with Docker and Kubernetes

Communication and collaboration skills

Ability to work in fast-paced environments

Education

Bachelor's or advanced degree in Computer Science, Data Science, or a related field

Tools

AWS

Docker

Kubernetes

Job description

Overview

We are seeking a talented and experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity.

Responsibilities

• Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network.
• Design, code, test, and document data science microservices primarily in Python.
• Support the integration of disparate bulk data sources into a unified database.
• Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments.
• Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors.
• Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings.

Qualifications

• Proficient in Python programming.
• Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and/or blockchain analytics.
• Strong SQL or other relational database query experience.
• In-depth knowledge of graph-structured data and analytics.
• Knowledge of GPS technology and its integration into analytical processes.
• Experience with cloud platforms, specifically Amazon Web Services (AWS).
• Familiarity with containerization platforms, including Docker and Kubernetes
• Bachelor's or advanced degree in Computer Science, Data Science, or a related field.
• 1-3 years’ experience in a similar role
• Strong communication and collaboration skills.
• Ability to work in a dynamic and fast-paced environment.
• An active Top Secret clearance is required.

Preferred Qualifications

• Familiarity with Natural Language Processing (NLP) techniques. Preferred
• Working knowledge of generative and agentic Artificial Intelligence models, usage, and training techniques. Preferred.
• Full-stack software engineering or development experience. Preferred.
• Expertise in blockchain architecture and cryptocurrency data analytics. Preferred.
• Understanding of machine learning algorithms and their application in cybersecurity analytics. Preferred

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