Data Science

Develop innovative cyber defense solutions, lead project teams, ensure project completion, and provide guidance on the implementation of enterprise network security capabilities to mitigate advanced cyber threats effectively.

Lead multiple project teams, ensuring accountability for project scope, schedule, and budget. Manage client expectations, provide clear direction, and drive project profitability while maximizing team performance and resource planning throughout the...

Architect and maintain AWS infrastructure, enhance deployment reliability and observability, contribute to front-end tools, and support backend architecture decisions while improving overall system performance and developer experience.

Architect and enhance AWS infrastructure, improve deployment reliability and observability, and develop internal tools using React/TypeScript while contributing to backend architecture and maintaining production systems for optimal performance and...

Design and implement scalable cloud-based data platforms and pipelines, ensuring data reliability and quality while collaborating across teams to translate business needs into actionable data solutions and mentoring peers in engineering best practices.

Direct and coordinate design consultants and stakeholders to achieve project milestones, manage zoning and permitting processes, and supervise design teams to ensure quality and integrity throughout the construction lifecycle.

Manage sales territory and relationships, utilize data for business planning, consult with clinicians on product use, and advocate for solutions at post-acute facilities to drive customer support and growth.

Lead the development of a next-generation data architecture, ensuring high-quality data access across products, while collaborating with cross-functional teams to drive data quality, governance, and impactful metrics for continuous improvement.

Design and implement AI-driven systems to enhance digital platform reliability, monitor application performance, and collaborate with cross-functional teams for seamless machine learning integration and incident resolution.

Leverage machine learning and statistical techniques to analyze large datasets, develop predictive models, and provide actionable insights for decision-making while driving best practices across analytics and product teams.

Decompose complex systems and develop models to assess risk and performance, analyze unstructured data using AI tools, and collaborate with multidisciplinary teams to deliver high-quality technical solutions for cyber-physical systems.

Design, deploy, and sustain enterprise data analytics platforms while ensuring secure and high-performance infrastructure. Serve as a technical authority guiding system architecture and operational best practices to facilitate data sharing across...

Monitor and refine data tracking tools for teacher education programs, maintain databases for field placements, and assist with report creation to ensure compliance with accreditation requirements while fostering positive relationships with...

Design and build advanced AI systems while leading and mentoring a team of engineers. Establish engineering practices, collaborate on AI initiatives, and drive technical decisions to enhance organizational capabilities.

Design and build data ingestion pipelines in Google Cloud Platform, utilizing big data tools. Ensure effective data management through lifecycle policies, access control, and schema evolution for optimal data consumption and exposure.

Provide data-driven insights to enhance customer marketing strategies, analyze customer data performance, and collaborate with stakeholders to optimize campaign outcomes while ensuring data quality and actionable insights are effectively communicated.

Design and implement AI-driven systems to enhance digital platform reliability, monitor application performance, and collaborate with cross-functional teams for seamless machine learning model deployment while driving continuous improvement through...

Leverage technical expertise to transform concepts into actionable insights, improve data integration and quality, assess data management technologies, and mentor team members in a fast-paced consulting environment.

Lead the development of a next-generation data architecture, ensure high-quality data access for intelligent systems, and establish data governance standards while collaborating with cross-functional teams to enhance platform capabilities.

Lead the development of AI-enabled cloud data capabilities, design scalable data pipelines, and mentor engineering teams while driving innovation and technology adoption within a matrixed, Agile environment.

Design and develop data engineering solutions, support integration processes, and lead code reviews while collaborating with teams to address complex data challenges and implement best practices in data architecture.

Drive customer engagement and product adoption through consultative selling, manage analytics projects, and contribute to pre-sales frameworks while serving as a trusted advisor to clients in the life sciences industry.

Support and maintain critical data environments, optimize enterprise analytics platforms, monitor network performance, and provide technical leadership and mentoring to improve collaboration among mission partners.

Support Data Science Infrastructure operations, develop and deploy AWS environments using CI/CD processes, manage large-scale environments, and implement image management lifecycle processes to enhance platform efficiency and security.

Drive Data Cloud sales by understanding customer objectives, developing strong relationships, managing the sales pipeline, and collaborating on successful client deployments to ensure satisfaction and growth within the life sciences sector.

Lead the full lifecycle of data center projects, ensuring alignment with client goals and budgets, while managing multidisciplinary teams and fostering strong client relationships through effective communication and delivery excellence.

Design and evolve data platforms aligned with business strategies, establish enterprise standards for data services, and architect scalable solutions for analytics and AI use cases, ensuring high-quality, governed data access across the organization.

Develop and support a Master Data Management platform, enhance data collection and analysis processes, automate reporting, and collaborate with teams to ensure data quality and integrity for informed decision-making.

Design and optimize GenAI-powered conversational AI solutions, improve multi-turn conversational experiences, and evaluate NLU and LLM systems while collaborating with business stakeholders to translate requirements into actionable data science tasks.

Lead large-scale data center projects, managing scope, schedule, and budget while ensuring compliance with standards. Serve as the primary client contact and oversee multi-disciplinary coordination for successful project execution.

Develop and optimize marketing campaigns through effective targeting strategies, design automated processes for campaign execution, and analyze large data sets to identify trends for improved marketing effectiveness.

Design and architect scalable data platforms and services, establish enterprise standards for data access, and enable data as a strategic asset to support operational and intelligent system use cases across the organization.

Design and implement data pipelines for cloud and on-premise solutions, provide support for integration and deployment, and conduct gap analysis to enhance data architecture and ensure successful project delivery.

Analyze operational and customer data to identify trends, develop dashboards for key metrics, and collaborate with various teams to support analytical needs and drive actionable insights for improved field operations.

Drive national expansion in the Data Center sector by developing strategic growth plans, establishing key industry relationships, and providing technical expertise for project proposals and bids while ensuring operational excellence across multiple...

Lead data scientist responsible for advanced analytics, large-scale experimentation, and developing data-driven models. Conduct research on machine learning techniques and influence product teams with data-based recommendations for informed...

Coordinate cross-functional alignment, manage project timelines and dependencies, deliver clear communications to stakeholders, and track progress while driving accountability in a fast-paced, Agile environment.

Design and implement AI-driven systems to enhance digital platform reliability, monitor application performance, and collaborate with cross-functional teams for seamless machine learning integration and operational excellence.

Analyze market opportunities and trends, collaborate on statistical models for optimal location coverage, and develop insights on competitive positioning to support strategic distribution initiatives and executive communications.

Lead enterprise Insider Threat and Data Protection functions while developing strategic roadmaps for enhancing detection and investigative capabilities. Oversee insider threat monitoring and digital forensic investigations to strengthen overall cyber...

Lead technology strategy for cloud-native and AI-enabled products, drive innovation with AWS services, provide technical leadership across teams, and oversee end-to-end technology delivery to enhance business processes and workflows.

Drive national growth in the Data Center sector by developing strategic plans, fostering client relationships, providing technical advisory, and tracking market trends to enhance business opportunities and project execution.

Build and maintain relationships with top data center design firms, engage stakeholders early in design cycles, and orchestrate solutions to meet customer needs while driving internal collaboration for market growth.

Lead exploratory data analysis to identify predictive model opportunities, develop proofs of concept for model interpretability, and mentor junior data scientists while ensuring model performance aligns with business objectives.

Collaborate with marketing stakeholders to define acquisition strategies and success metrics. Analyze data to derive actionable insights and optimize marketing performance, enhancing customer growth and efficiency across various channels.

Collaborate with marketing stakeholders to translate business goals into analytic approaches. Evaluate campaign performance, optimize strategies, and deliver actionable insights to enhance marketing efficiency and customer growth across channels.

Lead exploratory data analysis to identify influential relationships, develop proofs of concept for model interpretability, and mentor junior data scientists while ensuring effective communication with business stakeholders on model performance.

Collaborate with marketing stakeholders to define goals and strategies, analyze data for actionable insights, support optimization efforts, and enhance marketing efficiency through data-driven recommendations and experimentation.

Design and develop scalable data solutions while collaborating with team members to implement new features, optimize performance, and contribute to code reviews and documentation for effective problem-solving and system maintenance.

Lead the analytics product strategy by delivering a roadmap for data products, translating client needs into actionable insights, and ensuring high-quality delivery that demonstrates measurable value and ROI to clients.