Job Title

Senior Data Scientist (TS/SCI)Washington, DC$180,000 - $200,000DefenseMaximise your chances of a successful application to this job by ensuring your CV and skills are a good match.CompanyMy client is an innovative analytics firm dedicated to empowering organizations across industries to make swift, informed decisions through accessible AI solutions. Our platform simplifies complex data into user-friendly visualizations, enabling predictive analytics for future insights. With a rich foundation in research, including collaborations with prestigious institutions, our technology has gained recognition in both corporate and government sectors.ResponsibilitiesUtilize the features of the companies AI Platform to implement operational solutions for clients.Lead the development cycle of AI solutions from conceptualization to deployment, utilizing customer data.Employ integration with major big data frameworks, such as Databricks, as necessary to address client needs.QualificationsActive TS/SCI security clearance required, with willingness to operate from an SCIF.Residence in or near Washington DC/Northern Virginia to access relevant SCIFs.Anticipated regular travel to client sites and military installations.Bachelor's degree in Computer Science.Minimum 3 years of Python coding experience for production-level applications.Proficiency in Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.Experience deploying machine learning models in production environments (minimum 1 year).Familiarity with SQL/NoSQL databases or alternative database systems (e.g., elasticsearch, graph databases, etc.).Proficiency with Git or an alternative version control tool (minimum 3 years).Experience with Docker and/or Kubernetes (minimum 1 year).Strong sense of ownership and accountability.Excellent written and verbal communication skills in English.Preferred SkillsDemonstrated leadership in developing projects within a SCIF environment.Experience in Cyber Analytics, including PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.Familiarity with integrating applications using Spark, Dask, Snowpark, or Kafka (minimum 1 year).Experience with task schedulers (e.g., Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g., Flask/Django) (minimum 1 year).HOW TO APPLYPlease register your interest by sending your résumé to Nicolas Gonzales via the Apply link on this page.