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# Mid Data Scientist

- **Company:** Ignite, LLC
- **Location:** Columbia County, WA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, CompTIA Security+, Cyber Security, Data Files, Data Governance, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Software Deployment, SQL Databases, Tableau (Software), Google Cloud, Feature Engineering, LangChain, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Information Technology, Qlikview, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/mid-data-scientist-columbia-wa--9a4bdafd-669a-4d04-b1d1-2cda939a0429

## About the Role

Data Science, Computer Security, Artificial Intelligence (AI), Presentation/Verbal Skills, Federal Government, Data Science, Ecosystems, Project/Program Management, Data Sets, Trend Analysis, * Proficiency in Python, SQL, and ML frameworks.

 * Experience with NLP, LLM, or GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning).
 * Hands-on experience with data visualization tools (e.g. Qlik, Power BI, Tableau, Databricks).
 * Strong quantitative and analytic abilities.

Desired Skills:

 * Experience designing and implementing custom Generative AI solutions.
 * Familiarity with cloud platforms (AWS, Azure, GCP).
 * Experience working with federal clients.

Clearance Requirements:

 * Active Secret or TS/SCI eligible., * Bachelor's degree in computer science, engineering, mathematics, or related field.
 * 3+ years relevant professional experience.
 * Intermediate certifications (CCSP, CFR, FITSP-M, GSEC, Security+, SSCP) or advanced certifications (SecurityX / CASP+, GCSA, GSLC, CISSP).

## Description

* Independently build, train, and fine-tune AI/ML models.
 * Apply data science methodology to extract insights and create predictive capabilities.
 * Analyze complex datasets and identify trends.
 * Select and implement ML algorithms for specific problems.
 * Develop feature engineering and model validation approaches.
 * Prepare models for production deployment and support stakeholders in interpreting outputs.
 * Create interactive dashboards and visualizations.
 * Contribute to data governance, security, and automation initiatives.
 * Collaborate with subject matter experts and AI/ML engineers.