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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist Technical Lead - **Company:** Nyla Technology Solutions - **Location:** United States - **Experience:** Expert - **Salary:** $203,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Data Analysis, Big Data, Cloud Engineering, Computer Engineering, Data Integration, Data Visualization, Experimental Data, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Pattern Recognition, Raw Data, SAS (Software), Software Engineering, SQL Databases, Feature Engineering, Deep Learning, Information Technology, Cloud Integration - **Published:** September 21, 2026 - **Apply:** https://www.thejobnetwork.com/job/0d7e49ab-b426-455a-a03d-cafa2b3e9c67/senior-prototyping-engineer ## About the Role Advanced Algorithm Development: Proven track record of designing, implementing, and tuning statistical, machine learning, data mining, heuristic, and graph-based algorithms using Python, R, SAS, or MATLAB. SME Collaboration Feature Engineering: Demonstrated ability to partner with Subject Matter Experts (SMEs) to extract critical insights from raw data (e.g., SQL tables, network logs, structured metadata) and formulate high-impact feature vectors. Prototype-to-Production Transition: Hands-on experience translating qualitative user workflows into quantitative mathematical formulations and partnering with cloud/software engineers to deploy scalable analytics into analyst workflows. Rigorous Validation Metrics: Expertise in validating model performance using standard evaluation metrics and statistical techniques (e.g., cross-validation, ROC curves, confusion matrices). Data Visualization Insight Delivery: Ability to design intuitive visualizations and generate clear reports that summarize complex dataset structures and deliver data-driven recommendations. Technical Leadership Strategy: Proven capacity to guide data science teams, oversee multiple concurrent analytic efforts, delegate tasks, and mentor team members in modern analytic development practices. Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 10+ years of professional software engineering experience OR Master's Degree PLUS 8+ years of professional software engineering experience OR High School Diploma / GED, PLUS 14+ years of hands-on technical software development experience in lieu of a degree. , Desired Skills Data Simulation Synthetic Generation: Experience developing experimental data collection frameworks or simulation models to generate training sets when real-world data is sparse or unavailable. Graph Pattern Recognition Analytics: Familiarity with state-of-the-art graph algorithms, pattern recognition frameworks, and deep learning architectures. Scalable Cloud Integration: Hands-on experience integrating data science models into distributed, cloud-native frameworks designed to scale across massive enterprise datasets. ## Description We are seeking an inventive, mission-driven Senior Data Scientist Technical Lead to transform massive, raw datasets into automated, actionable intelligence. In this high-impact role, you will bridge the gap between qualitative subject matter expertise and cutting-edge quantitative execution. You will architect, prototype, and tune advanced statistical, machine learning, and graph-based algorithms, evaluate performance with rigorous metrics, and partner directly with software and cloud engineers to scale prototypes into resilient production systems. Beyond algorithm design, you will serve as a technical leader-guiding a team of data scientists, defining analytic roadmaps, and incorporating emerging state-of-the-art machine learning techniques to power mission automation. If you thrive on solving complex data puzzles, leading technical teams, and bringing your authentic self to high-stakes defense tech, Team Nyla wants you on board! ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Making Data Warehouses fast. 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