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Tech Holding

Data Scientist (Contractor)

Sorry, this job was removed at 02:01 a.m. (PST) on Friday, Jan 30, 2026
Easy Apply
Remote
Hiring Remotely in USA
Easy Apply
Remote
Hiring Remotely in USA

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About us:

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role: 
We are seeking an experienced Data Scientist, for a project based assignment, to join our team and help advance the mission of protecting organizations from narrative threats and influence operations. In this role, you will develop and refine machine learning models that detect disinformation campaigns, analyze large-scale social media data, and uncover patterns of coordinated manipulation. You will work closely with the research, engineering, and product teams to transform complex data into actionable insights that power the Artemis platform.
Key Responsibilities: 

  • Design, develop, and deploy machine learning models for detecting disinformation, bot networks, and coordinated influence operations across social media platforms
  • Analyze large-scale, multi-source datasets to identify emerging narrative threats and patterns of manipulation
  • Build and improve NLP pipelines for content analysis, sentiment detection, and entity recognition
  • Collaborate with engineering teams to integrate models into production systems and ensure scalability
  • Partner with research analysts to translate findings into client-facing intelligence products
  • Stay current with the latest developments in AI/ML, particularly in NLP, graph analysis, and anomaly detection
  • Contribute to research publications and thought leadership on disinformation detection methodologies

Requirements:

  • 5+ years of experience in data science, machine learning, or a related quantitative field
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Excellent communication skills with the ability to present complex findings to technical and non-technical audiences
  • Deep expertise in natural language processing (NLP) and text classification techniques
  • Experience working with large-scale data processing tools (e.g., Spark, Hadoop, or cloud-based solutions)
  • Familiarity with social media data, network analysis, or graph-based methods
  • Strong statistical foundation and experience with experimental design
  • Bachelor's or advanced degree in Computer Science, Statistics, Data Science, or a related field

Preferred Qualifications:

  • Experience in cybersecurity, threat intelligence, or information integrity domains
  • Background in detecting bots, spam, or malicious online behavior
  • Familiarity with LLMs and generative AI, particularly for detection applications
  • Experience with real-time data streaming and analysis
  • Published research in relevant academic venues

What we offer:

  • Remote Work Opportunities
  • Flexible Work Hours
  • Professional Development Opportunities
Employment type:
  • Corp to corp (C2C) preferred or contract

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR 

Tech Holding Los Angeles, California, USA Office

1150 S Olive St, Los Angeles, California, United States, 90015

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