51 to 75 of 3,816 Computer Science Jobs

transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

transformation, innovation, and AI. As part of this, we're recruiting a Lead Data Scientist to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps. If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in … next step in your career. Key Responsibilities Lead the development of innovative digital products from concept through to production Design and build scalable, containerised software solutions that incorporate data science components Make architectural decisions around tooling, frameworks, and development approaches Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred) Collaborate closely with cross-functional teams including … product managers, data scientists, and business stakeholders Mentor and support junior engineers, helping to grow technical capability within the team Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery Communicate clearly and confidently to both technical and non-technical audiences Ideal Candidate Profile Technical Experience More ❯

bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab. What you have Required Qualifications: A master's or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience 7+ years of experience in AI/ML research and development using Python 7+ years of experience building … + years of experience using AI models to deliver business value Advanced expertise in machine learning, natural language processing, and/or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python Strong computer science fundamentals, including experience writing unit tests Experience working with LLMs More ❯

robust, scalable, and secure systems. Implement and stay ahead of emerging DevSecOps tools, frameworks, and compliance standards. Basic Qualifications ️ Active Secret U.S. Security Clearance ️ Bachelor's degree in Engineering, Computer Science, Data Science, Physics, Mathematics, or related technical field ️ 5+ years of experience with DevOps and/or DevSecOps ️ Experience with Agile software development lifecycle Preferred Qualifications More ❯

analysts, to provide data-driven solutions. Documentation: Maintains clear and organized documentation of analysis methodologies and results. Continuous Learning: Stays up-to-date with industry trends and emerging data science techniques to improve skills and knowledge. Education: Master's degree in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering) or equivalent. Ph.D. degree … AWS, Azure, Google Cloud, and Databricks). Experience with Linux and familiar with concepts of HDA, slate, and docker. Level II Data Scientist is highly skilled across multiple Data Science disciplines. Is able to independently own and solve a well-defined business problem where the solution has not yet been outlined or approach is unclear; is able to provide … high quality solutions (e.g., accurate, efficient) which do not require refinement to deliver value; is able to solve difficult problems that require a range of data science methodologies combined with subject matter expertise. Strong analytical and problem-solving skills, and ability to work on moderately complex projects. Proficiency in data analysis and visualization tools (e.g., Python, SQL, Tableau). More ❯

best service our customers. Required Skills 1. Twelve (12) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required. Bachelors degree in Computer Science or related discipline from an accredited college or university is required; four (4) years of which must be in programs utilizing Big-Data cloud technologies and/… or Distributed Computing. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one … year of experience in debugging problems with Cloud based Distributed Computing Frameworks 10. h. One (1) year of experience in managing multi-node Cloud based installation 11. Experience in Computer Network Operations: 12. a. Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing 13. b. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing More ❯

a strong background in multi-cloud environments, machine learning, and scalable data solutions, with the ability to design and implement cutting-edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities … and implement new technologies and tools to enhance data capabilities Support data webforms (SQL databases) and processes for API connections, including drag-and-drop data functionality Lead complex data science projects from conception to implementation Develop real-time data processing solutions and data solutions at scale Integrate AI/ML with applications and systems Mentor junior data scientists and … contribute to the overall growth of the data science team Communicate findings and recommendations to both technical and non-technical stakeholders Required Qualifications Required: Degree in Computer Science, Statistics, Mathematics, or related field 7+ years of experience in data science or related field, plus additional 3+ years' experience in a complimentary function Strong programming skills in More ❯

on Senior Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity … paced, dynamic environment Eagerness to make an impact and lead on model delivery Previous experience developing underwriting or behavioural models for credit extension Desired: Master's degree in Data Science/Machine Learning or related discipline Knowledge of Deep Learning frameworks, ideally Keras/Tensorflow Familiarity with software version control (GitHub, bitbucket) Knowledge of Tableau Ability to comprehend research More ❯

data lakes and warehouses. Implement and enforce data governance, security, and compliance standards. Troubleshoot and optimize performance issues across pipelines and distributed data systems. Support analytics, BI, and data science teams with reliable, high-quality data. Lead peer reviews, provide technical guidance, and mentor junior engineers. Participate in Agile ceremonies, providing technical input for sprint planning and backlog grooming. … CI-CD practices for data pipelines (CodePipeline, Jenkins, GitHub Actions Exposure to BI tools such as Tableau, Power BI, or QuickSight. Education Bachelor s or Master s degree in Computer Science, Information Technology, Data Engineering, or related field. More ❯

analytics, engineering, or platform Knowledge of artificial intelligence principles and practices, including deploying ML models into production Ability to evaluate algorithm performance Security, Cloud, Software Development, AI and ML, Computer Vision, Deep Learning, or NLP Certification Additional Information: Well-developed software engineering skills, including use of proper development, QA, and production environments, object-oriented programming, version control, and knowledge … with cross-functional teams. Proficient in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark). Proficient in SQL. Desired Education: Bachelor's degree in Computer Science, Mathematics, or similar field Desired Experience: 7+ years of overall experience in Data Science & AI. 5+ years of experience with ML Engineering and/or ML More ❯

We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them … and readability • Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements • Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science • Minimum 15 years' experience in software engineering-related discipline • Active TS/SCI security clearance • US CITIZENSHIP REQUIRED Preferred skills: • Experience providing technical More ❯

Pro-active, flexible and creative Very strong communication skills and the ability to collaborate with developers and business users. Education & Experience Required: Bachelor's or Master's degree in computer science, computer engineering or relevant field required w/10+ years experience required. More ❯

You'll apply advanced AI techniques and ensure high standards of data quality and integrity in our solutions. The successful candidate for this role must have a strong Data Science background and understand the challenges of delivering data products with a commitment to incremental delivery. Proven experience of data science projects, and the ability to articulate ideas effectively … successfully applied Generative AI and Machine Learning techniques in real-world projects, delivering innovative products to market You hold a degree in a technical or quantitative field (e.g., AI, computer science, engineering, mathematics, physics, or related discipline) with proven professional experience applying data science in commercial or research environments You possess strong analytical skills, demonstrate attention to … both technical and non-technical stakeholders and thrive in collaborative, cross-functional environments You demonstrate intellectual curiosity, embrace continuous learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Advanced ML Architectures : Experience implementing specialised neural networks such as Graph Neural Networks (GNNs More ❯

and streaming data jobs. • Implement and document ETL mappings, schemas, and transformation logic aligned with mission use cases. • Collaborate with software, DevOps, and AI teams to support downstream data science and ML workflows. • Use Git-based workflows and participate in CI/CD processes for data infrastructure deployments. • Contribute to application specifications, data quality checks, and internal documentation. Qualifications … B.S. degree in Computer Science, Technology, Engineering, or a relevant field. • Experience in data engineering, backend software engineering, or data integration roles. • Strong experience with Java development in data pipeline or ETL contexts; Python is a plus. • Proficiency with SQL and NoSQL databases, including query optimization and large dataset processing. • Familiarity with data integration tools such as Apache More ❯

provisioning using Infrastructure-as-Code (IaC) tools such as Terraform. Build and maintain CI/CD pipelines for application, data, and model deployment workflows. Collaborate with engineering and data science teams to deploy and monitor machine learning models and analytical services. Implement and enforce security best practices across cloud and network environments. Troubleshoot deployment and performance issues across multiple … Contribute to internal tooling to streamline development, testing, and operations workflows. Stay current with DevOps trends and recommend improvements to tools and processes. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. 3-8 years of experience in DevOps, Site Reliability Engineering, or Infrastructure roles. Strong experience with public cloud More ❯

capabilities, including model validation tests Design blue/green deployment strategies using AI capabilities Automated build, scans and deploy including vulnerability remediation capabilities Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 7+ years of experience in DevSecOps, Site Reliability Engineering, Hands on knowledge of AI tools, Models, practical use case implementation Proficiency in at More ❯

database administrators, and data analysts. • Provide technical recommendations and solutions to support data-driven business processes, helping teams leverage data effectively. Qualifications: • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. • 7+ years of experience in data management, with at least 3+ years in a technical leadership or SME More ❯

based development, and continuous delivery. Champion test-driven development (TDD) and behavior-driven development (BDD) to ensure quality is embedded from the start. Collaborate with product, design, and data science teams to deliver AI-enhanced features and intelligent automation. Guide the integration of AI/ML into both engineering workflows and customer-facing capabilities. Establish and evolve observability practices … and potential to enhance product capabilities and engineering practices. Requirements 5+ years of experience leading software engineering teams, including direct people management and technical leadership. Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience). Proven experience managing software engineering teams delivering cloud-native SaaS products. Strong grasp of DevOps principles, CI More ❯

with industry trends and emerging technologies to ensure the team remains at the forefront of innovation. Domain in Treasury and Payments. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software development, with a focus on Java Fullstack development. Strong proficiency in HTML, CSS, JavaScript, problem-solving More ❯

and streaming data jobs. - Implement and document ETL mappings, schemas, and transformation logic aligned with mission use cases. - Collaborate with software, DevOps, and AI teams to support downstream data science and ML workflows. - Use Git-based workflows and participate in CI/CD processes for data infrastructure deployments. - Contribute to application specifications, data quality checks, and internal documentation. What … We Value: - B.S. degree in Computer Science, Technology, Engineering, or a relevant field. - 4-6 years of experience in data engineering, backend software engineering, or data integration roles. - Strong experience with Java development in data pipeline or ETL contexts; Python is a plus. - Proficiency with SQL and NoSQL databases, including query optimization and large dataset processing. - Familiarity with More ❯

on experience with cloud technologies (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent communication skills, both written and verbal. Preferred technical and professional experience Master's degree in computer science or related field. Experience in modern software concepts such as Infrastructure as Code (e.g., Terraform) Experienced with modern API design and implementations, preferably in Java or Golang. … that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the More ❯

with cross-functional teams, including designers, product managers, and DevOps engineers, to deliver high-quality software solutions. Ensure application performance, security, and scalability. Mandatory Skills: Bachelor's degree in Computer Science, Software Engineering, or a related field. 10+ years of experience in a professional role as a Software Engineer Relevant Bachelors Degree: equivalent to 3 years of experience More ❯

BI Analysts, Data Scientists, Data owners and Department managers, develop and model Information Marts and semantic layers for end users. Enable the deployment of Business Intelligence, Visualization, and Data Science projects as part of the Valmont Data & Analytics Center of Excellence. Contribute to end-to-end data pipelines using DataBricks, Azure services, and Azure Data Factory (ADF) to efficiently … Strong customer service orientation. Experience working in a team-oriented, collaborative environment. Highly Qualified Candidates Will Also Possess These Qualifications: Bachelor's or Master's degree in Business Analytics, Computer Science or MIS. Experience working in an Agile environment. Certifications in relevant technologies (e.g., Microsoft Certified: Azure Data Engineer Associate). Hands-on Experience with Python or R. More ❯

scripting (PowerShell, Python, or Bash). Ability to work in a fast-paced, enterprise environment with multiple stakeholders. Strong problem-solving and analytical skills. Preferred Qualifications: Advanced degree in Computer Science, Information Technology, or a related field. Relevant certifications such as AWS Certified Database Specialty, Microsoft Certified: Azure Database Administrator Associate, or Oracle Certified Professional (OCP). Knowledge More ❯

banking needs. Vendor Management: Manage relationships with external vendors, ensuring they meet standards and requirements. Negotiate contracts and oversee vendor deliverables. Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, Finance, or related field. Minimum of 10 years of experience in software development including MS SQL Server with SSIS, with at least 5 years in More ❯