Sr. Data Scientist at TechOp Solutions International

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Graph Traversal Languages, Network Analytics, SQL, Graph-Structured Data, GPS Technology, Cloud Platforms, AWS, Containerization Platforms, Docker, Kubernetes, Natural Language Processing, Artificial Intelligence, Blockchain Analytics, Machine Learning Algorithms, Cybersecurity Analytics

Industry

IT Services and IT Consulting

Description

We are seeking a talented and experienced Sr. 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. 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. 4 plus 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. Great To Have! 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

Responsibilities

The Sr. Data Scientist will design, develop, and implement data science solutions to assist investigators in extracting meaningful information. This role involves collaboration with various stakeholders to define features and functions for automation and support the integration of data sources.