Mid Data Scientist

Ignite, LLC
Washington, DC, United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$125,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Data Governance Data Visualization Python (Programming Language) Machine Learning Power BI Tensorflow SQL Databases Tableau (Software)
+7 more
Google Cloud Feature Engineering Large Language Models Model Validation Generative AI Information Technology Databricks

Job description

  • Independently build, train, and fine-tune AI/ML models.

  • Applydatasciencemethodology 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 deploymentand support stakeholders in interpreting outputs.

  • Create interactive dashboards and visualizations.

  • Contribute to data governance, security, and automation initiatives.

  • Collaborate with subject matter expertsandAI/ML engineers.

Requirements

  • 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:

  • U.S. Citizen, Secret or TS/SCI eligible.

Education & Experience:

  • Bachelor’s degree in computer science, engineering, mathematics, or related field.

  • 3+years relevant professional experience.

  • Intermediatecertifications(CCSP, CFR, FITSP-M, GSEC,Security+, SSCP) oradvanced certifications (SecurityX/CASP+, GCSA, GSLC, CISSP).

About the company

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 technologyexpertisewith 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 toaccomplishmissionobjectives.

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 modelsinsupportofalargefederalenterprise 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.localjobnetwork.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:39 min

Fundamentals of tensors and the TensorFlow library

HÄkan Silfvernagel · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan Ā· WWC Europe 2026

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 Ā· WWC 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou Ā· Coffee With Developers

3:55 min

Evaluating central server APIs against edge deployment models

Hauke Brammer Ā· WWC 2021

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan Ā· WWC Europe 2026

Videos

See all

Related articles

See all