Data Scientist

Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver. 

We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives. 

Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world. 

Ignite Digital. The Edge from Within. 

Perks of Working at Ignite Digital:

• Competitive pay and benefits, including PTO
• Education stipends and referral bonuses
• Compelling work with the U.S. federal government
• Strong emphasis on volunteer and community engagement
• Opportunity to shape the future of our industry
• Supportive colleagues and management who invest in your growth

Ignite Digital Services is hiring a Data Scientist to independently develop and deploy AI/ML models in support of a large federal enterprise multi-domain data ecosystem.  You will operate with autonomy, drive innovation, and contribute to mission-critical data science solutions, while delivering within a larger team project management environment. 

Key Responsibilities:  

• 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. 

Required Skills:  

• 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).