TechOp Solutions International Logo

TechOp Solutions International

Sr. Data Scientist

Posted 12 Days Ago
In-Office
Tampa, FL
Senior level
In-Office
Tampa, FL
Senior level
As a Sr. Data Scientist, you will design and implement data science solutions, collaborating with experts to extract data insights and develop analytics pipelines.
The summary above was generated by AI

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.

Requirements
  • 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

IND123


Top Skills

AWS
Cypher
Docker
Graphml
Gremlin
Kubernetes
Python
SQL

Similar Jobs

Yesterday
In-Office
4 Locations
Senior level
Senior level
Information Technology • Consulting • Defense
The role involves applying machine learning and statistics to develop algorithms for RF domain challenges, requiring a strong mathematical foundation and cloud infrastructure experience.
Top Skills: AirflowAWSAzureGCPPythonPyTorchScikit-LearnSparkSQLTensorFlow
10 Days Ago
In-Office or Remote
4 Locations
Senior level
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
The Senior Data Scientist will develop machine learning models, monitor their performance, present findings to executives, and collaborate with engineering teams.
Top Skills: AWSAzureGCPKerasNumpyPower BIPythonPyTorchRScikit-LearnScipySQLStatsmodelsTableauTensorFlow
17 Days Ago
In-Office
Deerfield Beach, FL, USA
Senior level
Senior level
Automotive
Lead the development and implementation of account-level CECL models and frameworks while collaborating with cross-functional teams to ensure accurate credit loss estimation and management insights.
Top Skills: PythonRSAS

What you need to know about the Ottawa Tech Scene

The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account