Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDIn this role, you will be at the heartbeat of our data ecosystem-managing and optimizing robust Big Data platforms while applying your software engineering chops to write clean, scalable code. You won't just be managing infrastructure; you'll be developing and refining prototype algorithms that turn complex data streams into high-value insights, as well as building intuitive data visualizations and analytics that empower decision-makers. If you love solving messy data challenges, turning raw inputs into actionable intelligence, and delivering cutting-edge solutions at scale, Team Nyla wants you on board!
The annual base salary range for this role is $152,000-$180,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills- Big Data Platform Management: Hands-on experience administering, optimizing, and maintaining scalable Big Data architecture and distributed data platforms.
- Programming Proficiency: Strong development skills in core data languages (such as Python, Java, Scala, or C++) to build automation, pipelines, and tools.
- Algorithm Development & Refinement: Proven capability to design, prototype, refine, and deploy custom algorithms for complex data processing and analytical workflows.
- Data Visualization & Analytics: Demonstrated skill in transforming complex analytical results into clear, actionable data visual representations, dashboards, and reports.
Education:
Bachelor's Degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline, PLUS
7+ years of professional experience in data science, predictive modeling, and AI/ML engineering OR
Master's Degree in a quantitative discipline, PLUS
5+ years of specialized experience developing and deploying machine learning models on large datasets OR
High School Diploma / GED, PLUS
11+ years of hands-on technical experience in data science, advanced analytics, and predictive modeling in lieu of a degree.
Desired SkillsExperience with modern distributed frameworks and data visualization tools (e.g., Spark, Hadoop, Grafana, Kibana, Tableau, or custom D3.js/Web front-ends).
Strong understanding of statistical modeling, machine learning concepts, and performance tuning for high-throughput data pipelines.
Excellent collaborative communication skills and a passion for turning complex technical outcomes into clear visual narratives for non-technical stakeholders.
