10 results for Data Scientist in Plano, TX

Data Engineer

Dallas, TX
onsite
Permanent
135000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-03-11T00:00:00Z

Data Engineer

Denton, TX
onsite
Permanent
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-03-26T00:00:00Z

Data and Analytics Manager

Dallas, TX
onsite
Temporary
75 - 85 USD / Hourly
We are looking for an experienced Data and Analytics Manager to lead master data management initiatives within our organization. This role involves developing and implementing data governance policies and procedures to ensure accuracy, consistency, and reliability across all systems. As a long-term contract position based in Dallas, Texas, this opportunity offers the chance to collaborate with cross-functional teams and lead efforts to optimize data processes. Responsibilities: • Develop and oversee master data governance standards to ensure data accuracy, consistency, and reliability. • Collaborate with stakeholders across departments to communicate business processes and data requirements. • Approve and process requests for creating or modifying master data while auditing completed mappings for quality assurance. • Lead a team of mapping specialists, allocating resources effectively and ensuring adherence to timelines and priorities. • Create and maintain documentation to support team training and mapping verification processes. • Monitor and audit team performance to ensure consistent quality and address knowledge gaps. • Coordinate updates and progress reports for organizational collaboration meetings, ensuring alignment with business goals. • Proactively communicate with stakeholders, providing regular updates on team efforts, challenges, and achievements. • Review and analyze source data processes to ensure a thorough understanding of data mapping requirements. • Track changes to IT architecture and processes to assess impacts on data usage and quality.
2026-03-10T00:00:00Z

Data/Information Architect

Dallas, TX
onsite
Permanent
200000 - 220000 USD / Yearly
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services. Key Responsibilities Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing). Develop and communicate AI roadmaps, future-state architectures, and design artifacts. Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms. Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis. Experiment with and fine-tune LLMs, train custom models, and assess performance metrics. Perform data exploration, cleansing, and feature engineering to prepare datasets for model training. Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows. Continuously scan industry innovations and apply emerging AI/ML technologies to business problems. What We’re Looking For Strong technical and business acumen in creating technology-driven solutions. Passion for experimenting with and adopting emerging AI/ML technologies. Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences. Proven ability to balance timeliness, cost, and quality in solution design. Experience leading digital transformation, target operating models, and performance improvement initiatives. Qualifications Bachelor’s degree in STEM or related field (MBA a plus). 5+ years in AI/ML solution architecture, prototyping, and experimentation. 5+ years working with AWS and/or Azure data, analytics, and AI services. 3+ years of experience with data science tools and frameworks. Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms. Knowledge of cloud-native services (data storage, compute, networking, security). Strong understanding of statistical methods, data preprocessing, and feature engineering.
2026-03-27T00:00:00Z

Senior Data Engineer

Plano, TX
onsite
Permanent
140000 - 170000 USD / Yearly
We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization. Technical Leadership<ul><li>Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines.</li><li>Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability.</li><li>Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure.</li><li>Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases.</li><li>Develop robust data transformations and semantic models using tools such as dbt.</li><li>Implement and maintain Infrastructure as Code using Terraform or similar frameworks.</li><li>Ensure cloud architectures follow best practices for security, compliance, and governance.</li></ul>Team & Cross-Functional Leadership<ul><li>Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders.</li><li>Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives.</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making.</li></ul>Operational Excellence<ul><li>Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management.</li><li>Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation.</li><li>Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities.</li></ul>
2026-03-23T00:00:00Z

Manager - Data Analytics and Automation

Frisco, TX
onsite
Permanent
145000 - 165000 USD / Yearly
We are seeking a Data and Analytics Manager to lead our data strategy, platforms, and analytics delivery. This role will begin hands‑on and technical for the first few months, transitioning into a managerial leadership role as the team grows. The position will eventually oversee three direct reports, with potential for additional growth. Key Responsibilities<ul><li>Lead the firm’s data and analytics strategy, ensuring strong data integrity, availability, security, and governance.</li><li>Manage day‑to‑day operations of the Data & Analytics team, including workload prioritization, coaching, and performance management.</li><li>Oversee development and maintenance of data pipelines, data models, reporting environments, and analytics platforms.</li><li>Ensure dashboards, reports, and self‑service tools are accurate, performant, and aligned with business needs.</li><li>Collaborate with business leaders to translate requirements into data, reporting, and analytics solutions.</li><li>Define and enforce data quality, governance standards, and documentation practices.</li><li>Partner with IT and Security to maintain compliance with privacy and regulatory requirements.</li><li>Evaluate and implement new tools, technologies, and enhancements to improve analytics capabilities.</li><li>Support executive reporting through ad hoc analysis and strategic insights.</li><li>Manage vendor and consultant relationships as needed.</li></ul>
2026-03-23T00:00:00Z

Business Analyst

Dallas, TX
onsite
Permanent
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.
2026-03-02T00:00:00Z

Business Intelligence (BI) Engineer

Coppell, TX
onsite
Temporary
55.4135 - 64.163 USD / Hourly
We are looking for an experienced Business Intelligence (BI) Engineer to join our team in Coppell, Texas. In this long-term contract role, you will play a key part in analyzing and interpreting user, product, and market data to support strategic business initiatives. You will collaborate with stakeholders across various departments to deliver actionable insights that drive efficiency and innovation. Responsibilities: • Partner with business stakeholders to understand priorities and develop timely, effective analytical solutions. • Analyze user, product, and market data to support initiatives such as customer segmentation, competitor analysis, and predictive modeling. • Provide insights and recommendations to enhance business intelligence roadmaps and development strategies. • Develop, maintain, and leverage models to optimize product pricing, identify market opportunities, and improve margins. • Collaborate with cross-functional teams to architect new strategies using data-driven insights. • Identify and communicate key findings to support existing and future business initiatives. • Evaluate business processes to identify opportunities for improvement and assist in proposing solutions. • Document and define business functions and processes to ensure clarity and alignment. • Utilize advanced tools like Power BI, Tableau, and Snowflake to manipulate and visualize data. • Support decision-making by delivering high-quality analytic solutions that align with organizational goals.
2026-03-27T00:00:00Z

Artificial Intelligence (AI) Engineer

Dallas, TX
onsite
Permanent
0 - 0 USD / Yearly
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our innovative team in Dallas, Texas. In this role, you will design and implement cutting-edge AI solutions, leveraging your expertise to solve complex problems and drive technological advancements. This position offers the opportunity to work on impactful projects that integrate advanced machine learning and AI technologies. Responsibilities: • Design, develop, and optimize AI models and algorithms to address specific business needs. • Implement computer vision solutions to enhance functionality and improve detection systems. • Collaborate with cross-functional teams to integrate AI technologies into existing systems. • Utilize frameworks such as TensorFlow to build and deploy scalable machine learning models. • Identify opportunities for innovation and propose strategies for AI-driven improvements. • Conduct research on emerging AI trends to ensure solutions remain cutting-edge. • Test, validate, and refine AI systems to ensure accuracy and reliability. • Develop documentation and provide guidance for the integration and application of AI technologies. • Monitor system performance and troubleshoot issues to maintain optimal functionality. • Support the development of agentic AI systems to improve automation and decision-making processes.
2026-03-23T00:00:00Z

Artificial Intelligence (AI) Engineer

Dallas, TX
onsite
Permanent
150000 - 175000 USD / Yearly
We are looking for a skilled Artificial Intelligence (AI) Engineer to design, implement, and optimize cutting-edge AI solutions in Microsoft Azure. This role requires a proactive individual with expertise in integrating and maintaining advanced AI tools while ensuring compliance, security, and performance. Join our dynamic team in Dallas, Texas, to contribute to innovative projects and collaborate with cross-functional teams. Responsibilities: • Develop and maintain scalable AI solutions using Microsoft Azure platforms, including Cosmos DB, Function Apps, and Azure OpenAI. • Ensure strict compliance with data governance policies and manage sensitive information securely. • Monitor system performance and troubleshoot issues using Application Insights to enhance user experience and optimize costs. • Manage and improve AI-enhanced chatbot functionalities, focusing on document embedding and vector search pipelines. • Collaborate with cross-functional teams to integrate AI features and uphold quality standards. • Implement best practices for secure integrations with Azure Key Vault and other tools. • Optimize cloud resources, deployment pipelines, and rate limits for seamless operations. • Document processes and solutions while providing analytics to support continuous improvement.
2026-03-25T00:00:00Z