Lead the development of machine learning models and solutions, establish best practices for model design, cultivate strategic partnerships, and manage a high-performing team to drive operational excellence in data science and analytics.

Design, implement, and manage large-scale data platforms while collaborating with cross-functional teams. Ensure platform stability and support customers by identifying and addressing their data needs effectively.

Design and implement scalable data architectures and ETL pipelines, ensure data governance and quality, and collaborate with cross-functional teams to drive data-driven solutions and support advanced analytics initiatives.

Design and review electrical and mechanical systems for data centers, ensuring alignment with standards. Collaborate with teams for equipment installations, quality assurance, and system optimization to enhance operational efficiency and reliability.

Design and develop advanced data solutions, collaborate with cross-functional teams, and drive machine learning applications to enhance product development and decision-making while promoting responsible AI practices and optimizing data architecture.

Design and implement scalable data architectures, develop robust ETL/ELT pipelines, and collaborate with cross-functional teams to deliver data-driven solutions while ensuring data quality and governance for strategic decision-making.

Build strong relationships with families, provide health education and support, facilitate access to community services, and document participant interactions to enhance perinatal health outcomes and promote healthy behaviors.

Conduct outbound prospecting to develop a robust pipeline, qualify inbound leads, and collaborate with Account Executives to create targeted acquisition strategies that align with business objectives and industry trends.

Assist attorneys by organizing files and handling audit letters, preparing documents and closing books, conducting research, and performing administrative tasks to ensure efficient corporate transactions.

Lead the development of machine learning models and financial simulation tools, translating business problems into quantitative approaches while collaborating cross-functionally to enhance data-driven decision-making and model governance.

Manage accounts receivable and payable, accurately record transactions, support financial analysis and reporting, and ensure compliance with accounting policies while collaborating with various departments on grant revenue tracking.

Prepare daily and monthly reconciliations, research and resolve complex aging issues, and manage Accounts Receivable queries to ensure timely resolutions while processing client refunds in accordance with firm policies.

Manage data analytics projects, develop and maintain reporting tools, identify trends for strategic decision-making, and collaborate with departments to support data-driven initiatives and enhance data quality and processes.

Analyze and model data to create intervention hypotheses, build predictive models, and execute projects identifying patterns in large datasets, leveraging statistical and machine learning techniques to inform mission decisions effectively.

Analyze large database tables to support predictive models, implement cloud workflows, respond to data queries, and document data definitions to enhance operational efficiency and meet diverse data needs.

Analyze large databases to understand structures and support predictive models, manage data needs, implement cloud workflows, and respond to data queries while documenting definitions for core business applications.

Design and implement scalable data architectures, develop robust ETL/ELT pipelines, and collaborate with cross-functional teams to enable data-driven solutions while ensuring data governance and quality standards are met.

Lead enterprise transformation into a data-driven organization by architecting analytics platforms, implementing data strategies, and driving AI initiatives across departments while fostering cross-functional collaboration and team development.

Promote Airbus initiatives to enhance Technical Data access and support, provide first-line customer assistance, gather feedback for improvements, and ensure customer satisfaction in the aviation industry across multiple regions.

Collect and organize large datasets, perform exploratory data analysis, develop interactive dashboards, and communicate insights to diverse audiences, ensuring data quality and governance throughout the analysis process.

Design, develop, and optimize real-time and batch data processing pipelines. Collaborate across teams to support data products, ensuring stability and addressing performance bottlenecks while delivering actionable insights for internal customers.

Manage employee data and processes, ensure HR system integrity, and deliver exceptional employee support. Lead HR projects, facilitate onboarding/offboarding, and support employee engagement activities to enhance the overall employee experience.

Design and deploy AI agents to enhance analytics workflows, collaborate on automation opportunities, investigate data quality issues, and develop AI-ready data models to drive strategic decision-making and improve data processes.

Design and maintain scalable data pipelines for ingestion and processing, support machine learning model training across cloud environments, and implement CI/CD practices for automated deployment while collaborating with data science teams.

Support proposal coordination and marketing efforts by preparing government form proposals, managing the pursuit process, and developing content tailored for specific projects while ensuring quality control throughout production and delivery.

Implement cryptographic inventory processes, provide guidance on encryption solutions, manage encryption key policies, and ensure compliance with cryptographic standards while collaborating with cross-functional teams to enhance data security.

Design and develop scalable cloud data solutions while collaborating with cross-functional teams. Analyze diverse data systems and create resilient data pipelines to enhance infrastructure and support analytics initiatives.

Develop and implement data-driven algorithms for threat detection, analyze large datasets for anomalies, and collaborate with cybersecurity teams to enhance security measures through innovative data science approaches.

Serve as a technology advisor to optimize business outcomes, translate business needs into solution architecture, lead collaboration on business solutions, and develop data governance metrics to enhance enterprise data management.

Architect and deploy large-scale data platforms, automate provisioning and monitoring, manage production releases, and collaborate with cross-functional teams to enhance system performance and security.

Design and implement scalable cloud-based algorithms, optimize data processing frameworks, and collaborate with cross-functional teams to enhance data-driven capabilities and support production deployments in a dynamic environment.

Design and implement data pipelines for seamless data flow, collaborate on secure data transfer protocols, and optimize solutions for performance while ensuring compliance with data security policies.

Drive business innovation by developing machine learning models, collaborating with cross-functional teams, and engaging with stakeholders to enhance marketing strategies and improve customer experience through data-driven solutions.

Lead the design and implementation of modern data platforms, collaborate with cross-functional teams to define data structures and pipelines, and ensure data privacy and security while educating clients on cloud data services.

Develop and articulate a strategic product vision, conduct market research to identify trends, collaborate with cross-functional teams on product initiatives, and drive the end-to-end product lifecycle for successful product delivery.

Analyze large databases to identify data structures and patterns, assist in managing data needs, implement cloud workflows, and respond to data queries to support operational efficiency and decision-making.

Perform exploratory data analysis to identify trends and anomalies, collaborate with stakeholders to solve business problems, and develop predictive models by extracting and transforming data effectively. Communicate findings to technical and...

Develop and manage data pipelines for business insights, implement scalable machine learning solutions, support data quality and master data management, and collaborate with cross-functional teams to address business challenges effectively.

Analyze and interpret membership data using SQL and Salesforce to support decision-making. Create dashboards and reports while ensuring data accuracy and collaborating on process improvements for effective data management.

Lead data-driven projects, analyze complex datasets, and develop innovative solutions to enhance decision-making. Implement new data processes and communicate insights effectively to influence strategic business solutions.

Drive data center land acquisition strategies, educate on site selection criteria, network with industry professionals, and manage relationships with real estate owners to source and execute development deals effectively.

Develop and implement machine learning models, collaborate with engineering teams for integration, conduct statistical analysis to evaluate performance, and translate complex data into actionable insights for stakeholders.

Collaborate within an Agile team to tackle data science challenges, apply machine learning techniques, and guide interdisciplinary teams throughout project life cycles to drive data-driven decision-making.

Lead the design and implementation of scalable data center infrastructure solutions, manage lifecycle processes, collaborate with stakeholders to translate requirements into technical designs, and ensure compliance with security and performance...

Oversee data center infrastructure management, optimize asset utilization, manage user accounts, and ensure accurate data validation while coordinating with multidisciplinary teams to enhance operational efficiency and support business continuity.

Guide strategic customers to accelerate Data Cloud and Agentforce consumption, develop mutual success plans, and build executive relationships while providing architectural guidance and managing technical risks to ensure customer success.

Lead a team of analysts to develop data products, automate vendor reconciliation, and analyze complex ATM logs to drive strategic decision-making and operational efficiency within the cash operations ecosystem.

Coordinate ICAP programming and operations, manage client recruitment and data tracking, support event planning and execution, and oversee marketing and social media strategies to enhance program visibility and engagement.

Provide administrative support to the Academic Standards Office, manage case documentation, ensure compliance with policies, and communicate effectively with students and stakeholders regarding academic standards processes.