I04 Data Scientist

Start Date: Immediate

At TalentWerx, we are focused on partnering with America’s top companies to acquire new talent with speed, accuracy, and a differentiated pricing model. We pride ourselves in acquiring top talent to ensure our clients' competitive advantage.

Our client is a Woman-Owned business that strives to meet and exceed customer expectations at every interaction and to become a dependable teammate of choice to our partner contractors. They aim to provide an ethical, collaborative employment environment where each of their employees is driven to provide their best work in furtherance of their customer's success and the mission.

OVERVIEW

Full-time/Permanent Employee

Location: Hybrid in San Antonio, TX

• The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past. 
• The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation. 
• To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation. 
• The candidate will work both independently and as part of a team to accomplish client objectives. 

• Clearance: Current Top-Secret Clearance, SCI eligible 
• Education and Years of Experience: 9 years' experience and a Bachelor of Science in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree) 

• Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning / natural language processing (e.g., Scikit-Learn, PyTorch, SpaCy, NLTK) 
• Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. 
• Familiarity with various log formats such as JSON, XML, and others. 
• Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification. 
• Willingness to do a programming challenge during the interview process. 
• Experience with Jupyter Notebooks, Python Data Science Libraries. 
• Experience with ML-OPS and related tools (e.g., MLflow, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.
• Good communication skills 
• Place of Performance: Hybrid work in San Antonio, TX. 

• Experience with NOSQL databases such as Accumulo a plus 
• Familiarity with deploying models as APIs or within containerized environments (e.g., Docker, Kubernetes) to serve and monitormodels in production. 
• Experience with Large Language Models (LLMs) / transformer models 
• Experience with writing, updating java APIs
• Prior Experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer. 
• Experience using restful APIs 
• Familiarity with Agile Project team and task management environment. 
• Experience with Zoom/Teams/Meet style team meetings 

TalentWerx is an Equal Opportunity Employer – Females/Minorities/Protected Veterans/Individuals with Disabilities