Mid-Level Data Scientist
NucoreVision (NVI)
📍 Washington, District of Columbia, US0💼 Full-time🕐 5/15/2026
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Role overview
NucoreVision (NVI) is hiring for the Mid-Level Data Scientist role in Washington, District of Columbia, US. It is full-time, Mid-level level, in the Tech sector. It was posted 5/15/2026.
On TalentyGo you can review this job and apply more effectively: Charlie prepares an ATS-optimized resume and a cover letter tailored to "Mid-Level Data Scientist" at NucoreVision (NVI) in about a minute. Before you apply, you can also check how well your profile fits, with a match score based on skills, experience, location and seniority.
- Role
- Mid-Level Data Scientist
- Company
- NucoreVision (NVI)
- Location
- Washington, District of Columbia, US
- Work mode
- On-site
- Employment
- Full-time
- Seniority
- Mid-level
- Sector
- Tech
- Posted
- 5/15/2026
Description
*PREREQUISITES*
• Must be a US citizen
• Must Reside in the DMV Area (DC, Maryland, Virginia)
• Must have a minimum of 5-10 years Experience
• Bachelor's Degree Highly Preferred
PLEASE NOTE:
• No C2C Opportunities
• Background check is Mandatory for the position
General Job Description: Supports data analysis, predictive modeling, AI/ML initiatives, and operational analytics activities supporting enterprise reporting and decision-making objectives.
Expertise with deep learning frameworks/tools such as TensorFlow, PyTorch/ PyCharm and
Keras.
Fluent in data science programming languages such as Python, R and at least one other
programming language, e.g., Java, C#, especially on Graphics Processing Unit (GPU).
Hands-on experience with Azure Artificial Intelligence (AI) services (Azure Machine Learning
[ML], Azure Cognitive Search, Azure OpenAI).
Deep understanding of Large Language Model (LLM) architectures and fine-tuning techniques.
Experience with Retrieval Augmented Generation (RAG) frameworks (LangChain, LlamaIndex,
Semantic Kernel).
Knowledge of vector databases and embedding models.
Familiarity with Machine Learning Operations (MLOps) practices (Continuous
Integration/Continuous Deployment [CI/CD], monitoring, model lifecycle management).
In-depth knowledge of software/engineering lifecycle and principles (source control/git,
debugging, testing, Jenkins, deployment, model retraining, CI/CD).
Qualifications
• Years of Experience: 5+ years
• Recommended Certifications: Data analytics or AI/ML certifications preferred.
• Relevant federal IT experience, technical capability, and operational support experience aligned to assigned labor category.
The market for this role in Washington
TalentyGo lists 1367 similar roles (72 in Washington), 22% remote. Charlie ranks them against your CV, each with a clear score.
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