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9 results for Data Scientist in Plano, TX

Data Analyst

Lewisville, TX
onsite
Permanent / Full Time
75000 - 78000 USD / Yearly
We are looking for a Data Analyst to support reporting, data interpretation, and decision making. This role turns business questions into clear data plans, builds practical reporting solutions, and delivers insights that non-technical stakeholders can use confidently. The position works across multiple databases and reporting tools to organize information, evaluate trends, and present findings in a concise and meaningful way. Responsibilities:• Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions.• Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams.• Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data.• Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records.• Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions.• Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners.• Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles.• Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standarss
2026-06-11T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
52.25 - 60.5 USD / Hourly
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a long-term contract opportunity based in Arlington, Texas. This role focuses on transforming complex business and contract-related information into clear reporting, actionable insights, and reliable analysis for stakeholders. The ideal candidate brings strong experience in business intelligence, data interpretation, and analytical tools, along with the ability to work accurately across large datasets in a fast-paced environment. Responsibilities: • Analyze business and contract-related data to identify trends, exceptions, and opportunities for operational improvement. • Build and maintain dashboards, reports, and visual summaries that help stakeholders monitor performance and make informed decisions. • Review commercial contract information and audit findings to validate accuracy, consistency, and compliance with established terms. • Translate raw and structured data into meaningful insights by applying data abstraction techniques and analytical methodologies. • Partner with business teams to gather reporting needs, define metrics, and deliver intelligence solutions aligned with organizational goals. • Use business intelligence and data analysis tools to organize information, evaluate outcomes, and support strategic planning efforts. • Investigate data discrepancies, reconcile inconsistencies, and recommend corrective actions to improve reporting reliability. • Document analytical processes, reporting logic, and data definitions to support transparency and repeatable analysis.
2026-06-17T00:00:00Z

Data/Information Architect

Richardson, TX
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments. Responsibilities: • Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives. • Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing. • Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products. • Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value. • Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing. • Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies. • Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges. • Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets. • Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
2026-06-10T00:00:00Z

Business Analyst

Dallas, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a detail-oriented Business Analyst to join our team in Dallas, Texas. In this role, you will bridge the gap between business needs and technical solutions by gathering requirements, analyzing data, and supporting system workflows. Your expertise in documentation and communication will be instrumental in ensuring project success across multiple teams. Responsibilities:• Gather, document, and organize business requirements to support project goals.• Develop user stories, acceptance criteria, and use cases to guide system development.• Create and maintain workflow diagrams, data flow diagrams, and business rules documentation.• Perform data validation and reconciliations using tools such as Excel.• Verify business rules against system data and assist in creating data dictionaries.• Acquire knowledge of system workflows and document end-to-end processes.• Collaborate with stakeholders across Clinical, Pharma, Operations, and IT teams to facilitate requirements meetings.• Draft detailed meeting notes, track open questions, and coordinate follow-ups.• Assist in creating and executing test plans, logging defects, and validating fixes.• Support go-live activities by ensuring system readiness and defect resolution. If interested, please send your resume to [email protected]
2026-06-17T00:00:00Z

Business Analyst - Digital

Dallas, TX
onsite
Permanent / Full Time
105000 - 125000 USD / Yearly
We are looking for a Business Analyst - Digital to help shape and improve web-based products and digital experiences in Dallas, Texas. In this role, you will partner with business leaders and technical teams to define needs, clarify priorities, and support the delivery of effective solutions. The ideal candidate brings strong analytical thinking, clear documentation skills, and experience working in digital, web, or platform-focused environments. Responsibilities: • Lead discovery efforts with stakeholders to capture business objectives, functional needs, and user expectations for digital initiatives. • Create organized business requirements, process flows, and supporting documentation that guide development and delivery teams. • Collaborate closely with engineers and product partners to convert business goals into practical system and platform solutions. • Analyze current workflows to identify inefficiencies and recommend improvements that enhance performance and user experience. • Support backlog refinement, requirement clarification, and solution validation within Agile Scrum delivery cycles. • Conduct gap analysis to compare existing capabilities with future-state needs and help define actionable next steps. • Review project deliverables and business outcomes to confirm solutions align with documented requirements and stakeholder expectations.
2026-05-30T00:00:00Z

Software Engineer

Dallas, TX
onsite
Permanent / Full Time
125000 - 140000 USD / Yearly
We are looking for an experienced Software Engineer to join a team delivering robust web-based solutions in Dallas, Texas. This position focuses on creating dependable, scalable applications that can support large-scale digital activity while improving overall platform performance. The role is well suited to someone with strong backend or full-stack expertise who enjoys working with modern frameworks and building systems designed for growth. Responsibilities: • Design, build, and enhance web applications that support business-critical digital services. • Develop backend and full-stack features using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js. • Improve application stability, responsiveness, and scalability to meet the demands of high-traffic environments. • Collaborate with technical teams to define architecture, implement new functionality, and maintain code quality standards. • Troubleshoot defects, resolve performance issues, and deliver reliable fixes across the platform. • Contribute to ongoing product and platform enhancements through clean, maintainable, and well-tested code.
2026-05-30T00:00:00Z

Software Engineer

Grand Prairie, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for an experienced Software Engineer to join a manufacturing organization in Grand Prairie, Texas. In this role, you will help create and enhance business-critical web applications and services, contributing to technical direction while delivering reliable, scalable solutions. The position offers the opportunity to work closely with product and cross-functional teams to translate business needs into effective software. You will play a key part in building high-quality systems and supporting strong engineering standards across the team. Responsibilities: • Design, develop, and enhance web-based applications and backend services using C#, .NET technologies, and modern front-end frameworks. • Guide architectural planning for complex software platforms and help shape technical decisions that support long-term scalability. • Manage the full feature lifecycle by clarifying requirements, estimating effort, building solutions, validating quality, and supporting releases. • Mentor fellow engineers by sharing technical knowledge, reviewing approaches, and encouraging strong development practices. • Produce readable, maintainable, and thoroughly tested code while identifying opportunities to improve application speed and system efficiency. • Collaborate with product leaders and cross-functional stakeholders to ensure technical deliverables align with operational and business objectives. • Investigate production issues, implement fixes, and participate in support coverage as needed to maintain application stability. • Promote effective engineering tools, development standards, and modern practices that improve software quality and team productivity.
2026-06-05T00:00:00Z

DevOps Engineer

Dallas, TX
onsite
Permanent / Full Time
120000 - 160000 USD / Yearly
We are looking for a DevOps Engineer to strengthen our infrastructure and platform capabilities in Dallas, Texas. This position focuses on building dependable, secure, and scalable cloud operations while advancing automation and delivery practices across engineering teams. The ideal candidate brings hands-on experience with production cloud environments, infrastructure as code, and deployment pipelines, along with a practical approach to reliability and operational excellence. Responsibilities: • Maintain the stability, availability, and protection of cloud-based systems that support critical business applications. • Create, refine, and manage automated build and deployment workflows using modern CI/CD tools such as GitHub Actions and AWS CodePipeline. • Develop and administer infrastructure through code-based provisioning with tools including Terraform and CloudFormation. • Design and support scalable AWS architectures spanning compute, containers, serverless services, databases, storage, and core networking components. • Investigate production incidents across application and infrastructure layers, identify root causes, and restore service efficiently. • Establish effective monitoring, centralized logging, and alerting to improve visibility into platform health and system behavior. • Improve platform resilience, performance, and cloud spend through ongoing optimization and preventative engineering practices. • Partner in disaster recovery planning, testing, and readiness activities to strengthen business continuity. • Support security and compliance initiatives by applying best practices, identifying operational risks, and implementing corrective measures.
2026-05-28T00:00:00Z

Artificial Intelligence (AI) Engineer

Grand Prairie, TX
remote
Temporary / Contract
79.1635 - 87 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a manufacturing organization in Grand Prairie, Texas on a Long-term Contract assignment. This role centers on creating enterprise-ready AI solutions that automate data-intensive processes, with a strong emphasis on autonomous workflows, backend engineering, and scalable system design. The ideal candidate will combine hands-on experience with Claude, C#, Visual Studio, and Microsoft SQL to deliver reliable AI-enabled applications that improve data classification, retention, and archiving outcomes. Responsibilities: • Build and deploy autonomous AI workflows that streamline data handling, classification, and archival activities across backend platforms. • Create AI-enabled applications using Claude within a .NET and Visual Studio development environment to support production use cases. • Develop and enhance APIs, services, and processing layers that power intelligent data automation solutions. • Translate legacy database logic into modern Entity Framework-based implementations to improve maintainability and enable AI-assisted processing. • Redesign data architecture components to support a shift from tightly coupled database structures toward service-oriented or microservices-based models. • Define and refine prompts, agent behaviors, and orchestration logic to ensure dependable and repeatable AI outcomes. • Improve the efficiency, scalability, and operational cost of AI-driven workflows through performance tuning and architecture decisions. • Work with business and technical stakeholders to establish data governance standards, retention rules, and classification frameworks. • Produce clear technical documentation and share knowledge to support adoption and long-term sustainability of delivered solutions.
2026-06-17T00:00:00Z