Jobs at IT-SCIENT

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.

This entry-level position targets recent graduates and career switchers seeking to launch full-time careers as Data Scientists or Engineers within large enterprise organizations. The role focuses on bridging the gap between academic knowledge and industry requirements by providing training in essential tech stacks such as Python, Java, and machine learning. Key responsibilities include developing hands-on projects, refining technical skills to meet current market demands, and preparing candidates for engineering interviews. The opportunity is appealing due to its structured support system designed to help individuals with limited experience or career gaps secure long-term employment at major tech leaders. The position is offered in a remote work arrangement.

This listing describes a Job Placement Program rather than a specific open position. The program assists candidates in securing junior roles such as Data Scientist, Data Engineer, or Software Developer within major technology companies. Participants engage in structured skill-building to master real-world tools like version control, APIs, and cloud deployment, while receiving support with resume positioning and interview preparation. The initiative is designed for recent graduates, career switchers, and professionals seeking to bridge the gap between academic knowledge and employer expectations. It offers a guided pathway to employment with a focus on building job-ready portfolios and confidence in technical workflows. The program also provides guidance on visa processes for international candidates and connects qualified individuals directly with hiring partners.

This full-time Data Scientist role supports the Product Development Data Science Team at Cavallo, a company building profit-technology solutions for the manufacturing and distribution sectors. The position focuses on the end-to-end data science lifecycle, including transforming raw data into robust features, building scalable predictive models, and deploying machine learning algorithms directly into software products. Key responsibilities involve partnering with product teams to align business goals with data strategies, analyzing complex distribution problems to identify margin opportunities, and translating technical findings into clear, actionable insights for stakeholders. The role appeals to candidates seeking a collaborative, people-first culture with a legacy of innovation since 2003. It offers the opportunity to work with modern AI and ML frameworks in an environment that values creativity, ownership, and measurable value creation. The position is based at the Grand Rapids headquarters.

This 24-month onsite role at a major financial institution in McLean, VA, involves partnering with stakeholders to drive business decisions through data. Key responsibilities include codifying methodologies into functional code, building automation dashboards using SAS, Python, and React, and performing advanced statistical analysis to support line of business areas. The position offers the appeal of working with a top-ranked staffing firm known for career growth and work-life balance, providing access to Fortune 100 clients and a comprehensive benefits package including health coverage and 401K.

This full-time Data Scientist role is based at P&G's Cincinnati General Offices and focuses on solving complex business challenges using large-scale data and advanced AI. The position involves designing and developing scalable machine learning algorithms, including Generative and Agentic AI, while performing exploratory data analysis and feature engineering on massive datasets. Key responsibilities include collaborating with engineering teams to productionize models, mentoring colleagues as a technical coach, and establishing expertise in specific data science methodologies. The role appeals to candidates passionate about interdisciplinary innovation where computer science meets hard science, offering opportunities to drive transformative business outcomes. The position requires a Master's degree in a quantitative field and proficiency in Python and cloud environments, with a strong emphasis on continuous learning and technical leadership.

This Data Scientist role at ManTech supports critical national security missions for the U.S. intelligence community and federal agencies. The position involves developing predictive models and algorithms to drive data-driven decisions while cleaning, validating, and interpreting complex structured and unstructured datasets. Key responsibilities include collaborating with cross-functional teams to define analytics strategies and communicating technical findings to non-technical stakeholders. The role appeals to candidates seeking to contribute to national security through advanced AI and machine learning work. It offers a collaborative environment with opportunities for professional growth and certification, requiring proficiency in Python, R, and SQL. A security clearance is preferred due to the sensitive nature of the work.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the design, training, and operationalization of large language models to power features like the Eno digital assistant and personalized customer experiences. Key responsibilities include collaborating with cross-functional product and engineering teams, leveraging technologies such as PyTorch and AWS, and translating complex AI concepts into tangible business value. The role is appealing for its opportunity to drive innovation at a massive scale serving over 80 million customers, offering a dynamic environment where emerging generative AI technologies are actively applied to solve undefined problems. The position supports a customer-first culture and emphasizes professional growth through talent development and technical leadership.

This Principal Associate Data Scientist role within Capital One's Mainstreet Acquisitions team focuses on developing and governing advanced credit underwriting models to deliver personalized financial offers. The position involves conducting statistical modeling experiments, engineering features from diverse data sources, and building machine learning solutions across the full development lifecycle. Key responsibilities include partnering with cross-functional stakeholders to establish modeling standards and translating complex technical insights into tangible business goals. The role appeals to candidates seeking a collaborative, informal culture that values innovation and intellectual challenge. It offers the opportunity to work with cutting-edge technologies like Python, AWS, and Spark on a large scale, driving real-time decision-making for millions of customers.

This management role leads a team of data scientists within the AI Foundations group, focusing on building next-generation recommendation and personalization systems for a Fortune 200 financial institution. The position involves partnering with cross-functional teams to design, train, and deploy high-scale machine learning models using technologies like Python, AWS, and Spark. Key responsibilities include architecting scalable ML pipelines, applying advanced techniques such as Transformer-based architectures and reinforcement learning, and translating complex data insights into tangible business outcomes. The role is appealing due to its opportunity to work at the intersection of deep research and massive real-world impact, leveraging cutting-edge tools to improve customer experiences across billions of records. The team operates in a collaborative environment that values innovation, customer-centricity, and technical excellence.

This role is a Scientist, Software Engineer and Cloud Architect position within the Mission Networks team at L3Harris, focusing on designing secure telecommunications and information management systems for critical sectors like air traffic control. The individual will design large-scale distributed systems using microservices and containers, interface with customers to define requirements, and lead the development of cloud-ready solutions across AWS, Azure, and Google Cloud. Key responsibilities include supporting business development through technical proposals, maintaining secure virtualized environments, and serving as a subject matter expert on DevSecOps and infrastructure as code. The position offers the opportunity to work on high-impact national security missions while leveraging cutting-edge cloud technologies in a collaborative environment. U.S. citizenship is required to obtain the necessary public trust clearance.

This senior data scientist role is based in Cincinnati and focuses on applying advanced AI, machine learning, and operations research to solve complex business challenges. The position involves designing innovative algorithms, performing exploratory analysis on massive datasets, and collaborating with engineering teams to deploy scalable solutions in cloud environments. Key responsibilities include leveraging generative and agentic AI techniques, mentoring junior team members, and translating technical insights into strategic business decisions. The role appeals to candidates seeking to work at the intersection of computer science and hard science within a collaborative culture that values innovation and continuous learning. The position operates on a hybrid schedule, requiring onsite presence in Cincinnati while offering the opportunity to shape the company's competitive edge through cutting-edge technology.

This senior Chief Software Engineer role within L3Harris Technologies' Space Domain portfolio focuses on defining technical vision and delivering secure, scalable solutions for national defense satellite command and control systems. Key responsibilities include architecting large-scale distributed software, establishing enterprise-wide Agile and DevSecOps standards, and mentoring engineering teams to drive technical excellence. The position offers the opportunity to shape mission-critical strategies, integrate legacy and emerging technologies, and lead complex stakeholder engagements across government environments. This role is appealing for its chance to influence next-generation space operations, foster a culture of innovation, and work on high-impact projects that ensure mission assurance. The position requires an active Top Secret security clearance and involves collaboration within a geographically distributed team.

This senior data scientist role at Everforth ECS supports federal agencies in Arlington, VA, focusing on intelligent search and retrieval systems. The position involves designing and optimizing search solutions using Elasticsearch, vector search, and Retrieval-Augmented Generation (RAG) techniques to enhance enterprise data accuracy. Key responsibilities include consulting with clients to translate business needs into AI strategies, building embedding and indexing workflows, and leading technical workshops on GenAI trends. The opportunity appeals to professionals seeking to work with cutting-edge large language models in a mission-driven environment that values innovation and talent development. While the role is based in Arlington, it requires occasional travel to customer sites and necessitates an active Secret security clearance.

This full-time Senior Data Scientist role supports the Integrated Mission Management program for the Defense Intelligence Agency within Peraton's national security division. The position focuses on developing and operationalizing AI and machine learning solutions to enhance intelligence collection prioritization and enterprise search capabilities. Key responsibilities include designing predictive models, implementing NLP techniques for diverse data sources, and deploying scalable analytics in containerized cloud environments. The role offers the opportunity to work on critical missions that protect national security while providing technical leadership and mentorship to junior team members. The position is based in Herndon, Virginia, with hybrid work eligibility, and features a collaborative culture dedicated to solving complex challenges for government partners.

This senior applied scientist role focuses on developing the Ads Agent, an AI-powered system that automates and optimizes advertising campaigns for Amazon Ads. The team operates at the intersection of large language models and agentic AI to build intelligent systems capable of planning multi-step workflows and executing autonomous actions. Key responsibilities include designing and evaluating agentic systems, establishing benchmarks for reliability and safety, and conducting rigorous A/B testing to analyze agent behavior. The position appeals to candidates seeking to shape the future of advertising within a fast-moving, small team that values innovation and experimentation. The role requires collaboration with engineers and product managers to deliver scalable solutions at Amazon scale and is based in Seattle.

This senior data scientist role within the Financial Crimes team focuses on quantitative modeling and analytics for AML, BSA, and OFAC compliance. Key responsibilities include developing and maintaining internal models, evaluating large datasets for quality, and implementing machine learning techniques to reduce false positives while ensuring regulatory adherence. The position offers a collaborative environment where technical expertise is translated for non-technical stakeholders, fostering continuous professional growth. The work arrangement is hybrid, prioritizing in-office presence at the Cleveland or Buffalo locations with flexible options for mobile tasks when effective.

This listing describes a support role focused on resolving hardware, software, and network issues for end users. Key responsibilities include performing first-line troubleshooting, maintaining system inventory, configuring hardware and software, and providing user orientation on technical operations. The position also involves assisting with software application issues and coordinating solutions for system-level problems. While the job title mentions data science and development tracks, the detailed duties align with a technical support or help desk function. The role offers an opportunity to work within a company that has established a track record of placing candidates in major technology firms, suggesting a professional environment focused on career growth and practical skill application.

This role serves as a technical support and development position within the IT department, focusing on resolving hardware, software, and network issues for end users. Key responsibilities include performing first-line troubleshooting, maintaining system inventory, configuring hardware and software, and assisting in the development of application software. The position offers an opportunity to gain hands-on experience with diverse technology stacks and system maintenance in a dynamic environment. While the listing mentions a training program for career advancement, the core function involves providing comprehensive technical assistance and ensuring operational stability for company systems.

The Junior Data Scientist (Associate Manager) role supports the Partnership for Public Service's mission to strengthen democracy by joining a growing data team within the Communications and Public Engagement department. Key responsibilities include conducting statistical analysis and model development using federal data, performing data collection and ETL processes, and creating documentation for internal stakeholders. The position offers the appeal of working in a mission-driven, collaborative environment focused on public service reform. The role operates in a hybrid arrangement based in the Washington, DC area, requiring three days of in-office work per week, and provides opportunities for professional growth, training, and flexible scheduling.

The Senior Data Scientist II role at LexisNexis Legal & Professional focuses on designing and validating Agentic AI capabilities for the legal domain. Key responsibilities include developing NLP and large language model strategies, defining agentic workflows for complex legal tasks, and establishing best practices for model evaluation and hybrid search. The position offers the opportunity to lead technical initiatives while mentoring team members and collaborating with product and engineering teams. This role is appealing due to its focus on cutting-edge AI innovation within a global leader, supported by a culture that prioritizes work-life balance through flexible hours and comprehensive well-being initiatives.

This senior applied scientist role within Amazon Ads' Sponsored Products and Brands team focuses on reimagining advertising through generative AI and global optimization. The position involves architecting scalable systems to replace legacy infrastructure, pioneering multi-modal GenAI applications for text and image processing, and driving end-to-end innovation from research ideation to production deployment at Amazon scale. The role appeals to candidates seeking to join a newly founded, high-impact team with the flexibility to experiment on novel product problems for non-US marketplaces. It offers the opportunity to work in a culture that thrives on creativity and entrepreneurship, allowing individuals to translate complex scientific concepts into real-world value for millions of customers while broadening their technical expertise in a fast-moving environment.