Principal Data Scientist

Overview We are seeking a highly experienced Principal Data Scientist to lead innovative AI/ML/NLP initiatives that transform complex business challenges into impactful solutions. Operating in a dynamic, remote environment across the continental U.S., you will spearhead the development of cutting-edge prototypes, guiding cross-functional teams to deploy scalable and secure data-driven models that drive strategic advancements. This role offers the opportunity to influence emerging technologies and shape the future of data science within a forward-thinking organization. Education Masters’ degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field Clearance Must have resided continuously in the United States for at least the last 2 years and possess the ability to obtain and maintain a Public Trust clearance based on USPTO regulations Onsite Requirements This position is fully remote and can be performed from any location within the continental U.S. Responsibilities • Lead the operation and maintenance of an innovation lab focused on ideation, design, and engineering of cloud-native modernization solutions using emerging technologies • Develop end-to-end plans for AI/ML/NLP innovations aligned with cybersecurity policies and compliance standards, including Authorization to Operate certifications • Create and engineer pilots, prototypes, and proof-of-concept solutions to validate emerging technologies and modernization opportunities • Implement security best practices, transparency, and traceability within data models and processes • Design and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business problems • Present insights, recommendations, and demonstrations to executives and technical stakeholders in a clear, data-driven manner • Collaborate with data engineering, product, and business teams to translate requirements into effective data solutions • Conduct exploratory data analysis and generate actionable insights from large and complex datasets • Support initiatives to enhance customer and user experience through design metrics, wireframes, and information architecture • Develop reusable code libraries and establish best practices for modernization and innovation deployment • Mentor junior data scientists and guide team adoption of new technologies and techniques • Stay current with advancements in data science, AI/ML research, and related fields • Support Agile product teams and contribute to emerging data strategies • Analyze data usage patterns to identify solutions and improve processes Required Skills • 8+ years of experience in data analytics, data modeling, machine learning, NLP, and AI technologies within cloud-native environments (AWS, Azure, GCP) • Strong proficiency in programming languages such as Python, R, and SQL • Extensive experience with AI/ML/NLP frameworks, models, and tools including PyTorch, Databricks, and frontier models • Hands-on expertise with data manipulation, analysis, and visualization tools like Tableau and Power BI • Solid knowledge of big data platforms (Hadoop, Hive) and cloud services (S3, SageMaker, Redshift, Azure, GCP) • Experience with version control and collaborative tools such as Git and Docker • Proven track record of delivering impactful technology solutions and data-driven innovations in a cloud environment • Strong communication skills and ability to work effectively within teams Nice to Have • Experience with MLOps, model monitoring, and deployment pipelines • Knowledge of computer vision, deep learning techniques, and NLP advanced methods • Familiarity with Agile development methodologies and tools like Rally Agile