Data Literacy Jobs

This full-time shift supervisor role is based in Ashburn, Virginia, within the Data Center Security team of a nationally recognized security firm. The position involves leading on-site security officers and SOC operators, managing daily operations, and ensuring compliance with strict industry standards such as ISO 27001 and SOC 2. Key responsibilities include overseeing physical security systems like access control and CCTV, conducting performance evaluations, and coordinating with cross-functional teams to maintain operational readiness. The role is appealing due to the company's commitment to employee development, offering extensive training, clear pathways for career advancement, and a culture recognized for excellence. The position requires a minimum of 40 hours per week on-site with variable shifts including weekends, providing a stable environment for professionals dedicated to protecting critical infrastructure.

This Data Fabric Engineer role at KLA focuses on designing and managing end-to-end solutions within the Palantir Foundry platform to support the global semiconductor manufacturing ecosystem. The position involves building scalable data pipelines, developing ontologies to model business entities, and integrating Foundry with enterprise systems like SAP and Snowflake using Python and SQL. Key responsibilities include ensuring data governance, monitoring pipeline health, and collaborating with cross-functional teams to translate requirements into operational analytics. The role is appealing due to the opportunity to solve complex problems in a highly innovative environment where 15% of sales are reinvested in R&D. It offers a chance to work with expert teams of physicists and engineers on cutting-edge technology, with a primary location in Ann Arbor, Michigan.

The Data Center Chief Engineer role serves as the primary technical leader within the Data Center Engineering Operations team, overseeing the peak efficiency of critical electrical, mechanical, and safety infrastructure. Key responsibilities include managing routine and emergency maintenance for systems like generators and cooling units, performing root cause analysis on equipment failures, and providing technical guidance to engineering technicians and vendors. This position appeals to candidates seeking a mission-critical environment where they can drive innovation in global cloud computing while benefiting from a diverse, inclusive culture that emphasizes mentorship and career growth. The role involves a hybrid work arrangement with significant on-site presence at data center facilities, requiring occasional travel for training or operational support.

This senior-level Data Center Technician role provides operational support for SEC infrastructure across multiple sites including headquarters and regional facilities. The position leads daily data center activities such as managing hardware moves, adds, and changes, coordinating power and cabling, and maintaining accurate inventory and capacity records. Key responsibilities include generating detailed reporting on space and power utilization, updating configuration management databases, and collaborating with architecture teams to execute system change requests. The role appeals to experienced professionals seeking to work on critical government infrastructure with a culture that values innovation and rapid execution. The work arrangement combines on-site presence at the SEC headquarters in Washington, DC with telework options, while requiring readiness for 24x7x365 emergency response scenarios.

This full-time Data Scientist role supports a large Federal agency by delivering advanced analytics to optimize contact center and field office operations. The position involves designing predictive models for workforce management, building robust data pipelines for complex datasets, and collaborating with stakeholders to present strategic insights to executive leadership. The role offers a hybrid work arrangement in Woodlawn, MD, within a supportive culture that prioritizes professional growth through education reimbursement and continuous development. Candidates will join a recognized, fast-growing company known for its collaborative environment, commitment to innovation, and focus on making a positive community impact.

This Data Scientist role at Booz Allen involves building advanced technology solutions and implementing data engineering activities for mission-driven projects. The position focuses on developing scalable data pipelines, creating ETL/ELT workflows, and processing structured and unstructured data to support business analysis. Candidates will collaborate with a multi-disciplinary team in a fast-paced, agile environment to design and maintain platforms that make disparate data meaningful. The role appeals to those seeking professional growth through exposure to cutting-edge tools like Palantir Foundry and opportunities to work on impactful defense and government initiatives. The work arrangement offers flexibility with remote, hybrid, or onsite options depending on specific project needs, supported by a people-first culture that values collaboration and continuous learning.

This senior data scientist role at Booz Allen involves leading data science initiatives to solve complex global challenges across private and public sectors using IoT, machine learning, and artificial intelligence. Key responsibilities include performing data exploration and mining with Python, R, or SQL, developing predictive models for activity-based intelligence, and guiding teams to translate disparate data into actionable client insights. The position offers the appeal of working on high-impact projects ranging from fraud detection to national intelligence within a people-first culture that values collaboration. While the work arrangement varies by project, opportunities exist for remote, hybrid, or onsite engagement, often requiring a Top Secret clearance.

This limited-term Data Scientist role at Harris-Stowe State University supports a grant-funded research project investigating the effects of light pollution on pregnancy outcomes. The position involves analyzing complex neurobiological datasets, developing statistical models and machine learning algorithms, and managing experimental data integrity. Key responsibilities include training undergraduate researchers, designing research protocols, and visualizing findings for academic presentations. The role appeals to candidates seeking to apply advanced data science skills to meaningful public health research within a collaborative, diverse academic environment. The position is based on the university's campus in St. Louis, Missouri, and offers the opportunity to work alongside senior faculty and contribute to interdisciplinary scientific discovery.

This mid-level Data Center Technician role supports SEC infrastructure operations across multiple sites in Virginia, New Jersey, and Washington, DC. The position involves hands-on installation, configuration, and tracking of hardware and test equipment while maintaining accurate asset records in DCIM tools. Key responsibilities include executing moves, adds, and changes, managing physical security controls, and participating in 24x7 emergency response activities. The role appeals to candidates seeking to work on resilient, auditable federal IT systems within a dynamic environment that values innovation and rapid execution. Candidates must be willing to work on-site and travel as required.

This Data Scientist role leads bioinformatic and data science initiatives focused on single-cell RNA-seq and TCR sequencing within a cell therapy research team. Key responsibilities include designing experiments, applying advanced machine learning to identify cell states and biomarkers, and integrating multi-omics data to support clinical decision-making. The position requires building scalable analytical pipelines in Python and R while collaborating with biologists and clinicians to translate complex findings into actionable insights. The opportunity is appealing for its focus on cutting-edge immunology research, the chance to develop custom tools for regulated environments, and a collaborative culture that values scientific innovation and professional growth.

This senior-level Data Warehouse Architect role supports the MDHHS Data Warehouse project within a hybrid work model. The position focuses on managing complex batch frameworks, overseeing code promotions, and maintaining robust Linux and Teradata security models. Key responsibilities include conducting data architecture reviews, ensuring data quality through profiling and cleansing, and leading migration efforts to standardized frameworks. The role appeals to experienced professionals seeking to apply their expertise in a collaborative team environment while working on critical state programs like Child Support and Health Services. The position offers a contract opportunity with comprehensive benefits including medical, dental, and retirement matching.

The Data Scientist II role focuses on Generative AI within a pioneering team dedicated to transforming raw data into actionable intelligence and scalable agentic systems. Key responsibilities include designing and implementing Gen AI-powered agents to streamline workflows, optimizing internal evaluation frameworks for reliable model performance, and leading experiments to balance efficiency with cost. The position offers the opportunity to mentor junior staff, collaborate across engineering and product functions, and drive cultural adoption of AI tools. This role is appealing for its focus on cutting-edge technology, the chance to shape organizational innovation, and a supportive environment that values continuous learning and advanced technical growth.

This full-time Data Center Project Manager role within AWS Infrastructure Services focuses on overseeing critical infrastructure improvement projects inside operational data centers. The position involves managing construction activities to optimize space, power, and cooling while coordinating across electrical, mechanical, and architectural disciplines. Key responsibilities include directing project execution, identifying operational improvements, and collaborating with diverse engineering and supply chain teams to ensure safety and efficiency. The role appeals to candidates seeking a dynamic environment where bold ideas are welcomed and ownership is encouraged. It offers a supportive culture with a strong emphasis on work-life balance, mentorship, and career growth, based in New Albany, Ohio.

The Data Science Senior Manager - GenBI role leads a team of data scientists within The Home Depot to drive business profitability and enhance customer experience. Key responsibilities include managing and mentoring direct reports, aligning data science strategies with business goals, and overseeing program execution to ensure high-quality solutions. The position requires translating complex technical insights into executive summaries and fostering collaboration across the organization. This opportunity appeals to leaders seeking to shape the future of business intelligence while working in a culture that values individual growth and purpose. The role involves occasional travel and is based in a comfortable indoor environment.

This full-time Data Scientist Level 3 role supports a Department of Defense client in Suitland, Maryland, within a high-performing science team. The position focuses on applying advanced machine learning, deep learning, and natural language processing to build sophisticated data models. Key responsibilities include leading and mentoring junior data scientists, deploying projects on cloud platforms like AWS and Azure, and establishing metrics to evaluate AI performance while adhering to responsible AI policies. The role offers up to 10% local travel and requires a TS/SCI clearance. It is appealing due to CACI's culture of integrity and trust, which provides autonomy through flexible time off and robust learning resources. The position emphasizes continuous career growth and the opportunity to contribute to critical national missions alongside a collaborative, mission-driven environment.

This role within Apple's Services Finance Data Science and Engineering team focuses on building and optimizing financial data platforms to support product innovation. The position involves partnering with business stakeholders to translate complex requirements into data-driven solutions, utilizing AI coding assistants and agentic frameworks to rapidly prototype and deploy analytical models. Key responsibilities include designing scalable analytics pipelines, conducting rigorous statistical analysis, and creating self-serve dashboards that empower decision-making. The role appeals to candidates who thrive in a collaborative culture of excellence and offers the opportunity to work with cutting-edge AI tools to accelerate delivery. The position requires a strong background in Python, SQL, and machine learning, with a focus on shipping production-ready solutions in a dynamic environment.

This Data Infrastructure Engineer role supports the design and maintenance of enterprise data infrastructure for complex business and engineering operations. The position focuses on building scalable data pipelines, integrating data from diverse sources, and ensuring data integrity across large datasets. Key responsibilities include developing efficient data transformation workflows, implementing quality control processes, and collaborating with cross-functional teams to deliver actionable insights. The role offers the appeal of working within a collaborative technical environment that drives digital transformation and enterprise-scale analytics. Candidates will utilize cloud platforms and advanced analytics tools to solve complex problems in a fast-paced setting.

This Data Scientist role within the SPX AI Lab focuses on building the next generation of Amazon Seller Assistant, a multi-agent system designed to proactively support millions of sellers. The position involves owning the product vision and strategy for key capabilities while defining and shipping agentic experiences that handle reasoning, planning, and memory at scale. Key responsibilities include translating frontier AI research into production-grade features, designing rigorous evaluation frameworks to measure agent quality, and driving cross-functional alignment to solve complex business problems. The opportunity appeals to candidates seeking to work at the intersection of cutting-edge agentic AI and real-world commerce, offering the resources of a global leader with the agility of a startup. The role is based in Seattle and requires a blend of technical expertise in machine learning and strong communication skills to influence product direction.

The Data Center Quality Engineering Manager role leads a technical team within Google Cloud's infrastructure division, focusing on custom silicon solutions for direct-to-consumer products. The position involves providing expert technical direction to optimize global data center workflows and ensuring high-quality hardware deployments. Key responsibilities include leading complex root cause analyses for critical hardware issues, formalizing feedback loops between field observations and product design, and translating performance data into strategic roadmaps for executive leadership. This opportunity appeals to candidates seeking to shape the next generation of hardware experiences in a culture that values continuous learning, data-driven decision-making, and cross-functional collaboration. The role requires managing technical teams in a hyperscale environment with a focus on reliability and efficiency.

This full-time Data Entry Clerk role supports import operations for a client in Monroe Township, New Jersey. The position involves evaluating customs documents, processing shipment paperwork against inventory guidelines, and coordinating with brokers and internal departments to ensure timely delivery. Key responsibilities include managing high-volume data entry, assisting with HTS classifications, and resolving order discrepancies while maintaining strict accuracy. The role is ideal for bilingual professionals with a background in logistics and import trade compliance. It offers a stable Monday through Friday schedule during the first shift and provides an opportunity to work within a collaborative team environment.

The Data Center Engineer role provides 24x7 onsite hardware and cabling support within a managed services environment for critical enterprise facilities. Key responsibilities include performing rack and stack installations, managing copper and fiber cabling, executing break-fix repairs, and overseeing decommissioning and inventory tracking. The position requires adherence to strict change management, security, and safety protocols while coordinating with cross-functional teams during incidents. This opportunity appeals to candidates seeking hands-on technical work in a high-availability setting, offering the chance to develop expertise in data center infrastructure operations. The role is fully onsite with a rotational shift schedule that includes nights, weekends, and on-call support.

This remote Data Scientist role supports U.S. Customs and Border Protection within the Washington DC Metro Area. The position involves applying advanced statistical analysis, machine learning, and data mining to transform raw data into actionable insights for government clients. Key responsibilities include designing predictive models, developing complex visualizations, and conducting quantitative simulations to solve real-world problems. The role appeals to candidates seeking a collaborative, people-centered culture at a fast-growing consulting firm that values continuous learning and work-life balance. The company offers a supportive environment with flexible time off, low travel requirements, and opportunities to contribute immediately to cutting-edge solutions. Candidates must hold a relevant advanced degree and possess a valid security clearance.

The Data Center Controls Engineer, Cyber Security role serves as a technical leader within the AI and Infrastructure team, focusing on the design and strategy of global data center facilities. Key responsibilities include developing scope and requirements for operational technology security initiatives, creating design documents for secure solutions, and embedding cyber-security protocols into the infrastructure lifecycle from design through deployment. The position appeals to candidates seeking to work in a research-driven environment that mirrors an R&D department, offering the chance to optimize mission-critical facilities and drive long-term technical roadmaps. The role supports a collaborative culture where engineers influence cross-functional teams to build resilient, efficient, and environmentally friendly data centers. Candidates may work from locations in San Francisco, Seattle, Kirkland, or Sunnyvale.

This entry-level position is part of SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for data analysts and engineers. The role involves providing interview-focused coaching and technical training to recent graduates and career changers, emphasizing hands-on project development and end-to-end system design skills. Key responsibilities include preparing candidates for technical rounds through practical exercises in data structures, API design, and cloud deployment while offering support for visa processing and resume optimization. The opportunity is appealing for its targeted approach to transforming candidates from 'almost hired' to offer-ready, leveraging a track record of placing professionals with major technology and finance firms. The program operates remotely with a focus on high-demand technology stacks including Python, Java, and machine learning.

This entry-level remote role targets recent graduates and career switchers seeking to launch a career in data science or engineering. The position involves developing skills in Python, Java, and machine learning while working on real-world projects for major clients. Key responsibilities include building data pipelines, analyzing datasets, and collaborating with engineering teams to deploy scalable solutions. The opportunity is appealing for candidates with limited experience, as it provides a structured pathway to gain hands-on industry exposure and rebuild professional momentum. The role supports candidates facing career gaps or those needing assistance with visa extensions, offering a collaborative environment focused on closing the gap between academic knowledge and employer expectations.