Orbis Operations, LLC Logo

Orbis Operations, LLC

Data Scientist

Posted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Design, train, fine-tune, deploy, and monitor Large Language Models for government mission applications. Collaborate with cross-functional teams, ensure data preprocessing and model performance, present findings to stakeholders, and mentor junior data scientists.
The summary above was generated by AI

THIS IS AN EVERGREEN REQUISITION

Orbis Operations is seeking an experienced Data Scientist with a focus on training, building, and implementing Large Language Models (LLMs) to join our innovative team. The successful candidate will work directly with government clients to leverage LLMs in mission-critical applications, driving impactful results through advanced natural language processing techniques. This role requires a candidate with deep expertise in developing and deploying LLMs within government environments, with a passion for cutting-edge data science and artificial intelligence technologies.

Duties & Responsibilities

  • Design, build, and implement Large Language Models (LLMs) to solve complex problems in government settings, ensuring alignment with mission objectives.
  • Collaborate with cross-functional teams, including data engineers, software developers, and government stakeholders, to understand requirements and develop tailored LLM solutions.
  • Perform data preprocessing, cleaning, and transformation to support LLM training, ensuring data quality and relevance to specific government applications.
  • Conduct model fine-tuning, optimization, and validation to ensure high performance, accuracy, and efficiency in real-world scenarios.
  • Stay up to date with the latest advancements in AI, machine learning, and natural language processing technologies, incorporating them into current projects where applicable.
  • Present findings, model performance, and actionable insights to technical and non-technical government stakeholders.
  • Support the deployment and monitoring of LLMs in production environments, troubleshooting and iterating models as necessary.
  • Mentor junior data scientists and provide guidance on best practices in machine learning, natural language processing, and AI ethics.

Supervisory Responsibilities

  • This position has no supervisory responsibilities

Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. PhD preferred.
  • 5+ years of experience as a Data Scientist, with specific expertise in training and deploying Large Language Models (LLMs).

Required Skills & Abilities

  • Active Security Clearance TS/SCI w Poly
  • Experience working with government agencies or within the public sector, understanding unique challenges and compliance requirements (e.g., data security, privacy, etc.).
  • Proficiency in Python and machine learning libraries (e.g., TensorFlow, PyTorch) with demonstrated experience in developing LLMs.
  • Strong knowledge of natural language processing (NLP) techniques, including transformer architectures such as GPT, BERT, or similar.
  • Experience in handling large datasets and optimizing models for performance and scalability.
  • Strong problem-solving skills, with the ability to translate mission requirements into AI-driven solutions.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical audiences.

Desired Skills & Abilities

  • Experience working on government projects related to national security, defense, or intelligence.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and tools for scaling machine learning models in production environments.
  • Knowledge of AI ethics, responsible AI practices, and explainable AI methodologies.
  • Current or previous Top Secret/SCI clearance is highly desirable.

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer.
  • Routine video conference and/or in-person meetings.
  • Ability to attend planned meetings within the Washington Metro Area region.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.

Similar Jobs

3 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
200K-350K Annually
Senior level
200K-350K Annually
Senior level
Fintech • Software • Financial Services
Own the reliability and quality of an AI copilot for a trading platform. Build evaluation frameworks, benchmarks, quality gates, monitoring, incident response, and model improvement workflows. Partner with engineering and product to create safe, auditable tool interactions and improve assistant behavior. Develop domain expertise in trading, risk, margin, execution, and portfolio reasoning while operating across model, backend, and frontend systems.
Top Skills: Evaluation PipelinesLlm ApisModel ServingObservability And Telemetry ToolingPostgresReactReact NativeRustTraining PipelinesTypescript
3 Days Ago
Remote or Hybrid
CA, USA
95K-168K Annually
Entry level
95K-168K Annually
Entry level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Develop data science solutions for payments across Square and Cash App. Build AI-powered tools, ETL pipelines, dashboards, machine learning models, experiments, and cloud data systems. Partner with Product, Engineering, Finance, and Operations to improve payment success, cost efficiency, risk mitigation, and decision-making. Translate business needs into practical solutions, research questions independently, and operationalize data processes and infrastructure.
Top Skills: AICloud InfrastructureETLMachine LearningPythonSQL
3 Days Ago
In-Office or Remote
CA, USA
95K-168K Annually
Entry level
95K-168K Annually
Entry level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Develop data tools, AI automations, ETL pipelines, dashboards, and machine learning models for payments. Analyze experiments, optimize payment performance and costs, mitigate risk, maintain data systems and cloud infrastructure, and translate business needs into actionable solutions while partnering with Product, Engineering, Finance, and Operations.
Top Skills: AICloud Data InfrastructureDashboardsData SystemsETLMachine LearningPythonSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account