<p>Job Title: Data Scientist (with Data Engineering Expertise)</p><p>Location: Atlanta GA</p><p>Hybrid 3 days onsite</p><p><br></p><p>Overview</p><p>We are looking for a highly motivated and skilled Data Scientist who also brings strong Data Engineering capabilities. This is a hybrid role with a primary focus on data science—developing advanced analytics and predictive solutions—while also requiring flexibility to support data engineering efforts and responsibilities when needed (you will be deeply analytical, technically proficient, and capable of leveraging tools like Databricks, SQL, ETL pipelines, PySpark, and Python as well).</p><p>In this position, you’ll have end-to-end ownership of identifying and understanding data-driven business opportunities and translating them into actionable, predictive, and scalable analytics solutions. You’ll take ownership of converting data into actionable insights that drive business value and support our customers' strategic goals.</p><p>You'll build data-driven applications that solve real-world business challenges and partner with both internal teams and customers to deliver high-impact outcomes. This is a strategic and hands-on role where curiosity, technical expertise, and a passion for creating value through data are essential. If you're passionate about solving complex business problems with data and enjoy working in a fast-paced, customer-focused environment, this role is for you.</p><p><br></p><p>Key Responsibilities</p><p>Data Science</p><ul><li>Partner with customers and internal stakeholders to identify business opportunities and deliver predictive, actionable solutions</li><li>Develop data-driven applications that solve real-world customer problems</li><li>Stay current with trends in machine learning and AI, and apply best-in-class tools, libraries, and technologies</li><li>Serve as a subject matter expert on generating insights from data and developing machine learning models</li><li>Design and build intuitive, interactive data visualizations to communicate findings</li><li>Lead pilot projects with customers, measure business value and impact</li><li>Transition successful pilots into production-ready commercial applications</li><li>Collaborate with platform architects to ensure designs align with security and architecture best practices</li><li>Review code and solutions before deployment to ensure quality and performance</li><li>Work with and oversee contractors to deliver high-quality outcomes</li></ul><p>Data Engineering</p><ul><li>Design and develop high-performance data ingestion pipelines using Azure Databricks and Azure Data Factory</li><li>Work with event-based streaming technologies to process real-time data</li><li>Architect and implement scalable Data Lakehouse solutions</li><li>Support development and delivery of related components such as APIs and search functionality</li><li>Evaluate and select tools based on technical performance and customer requirements</li><li>Operate within Agile and DevOps frameworks to deliver iteratively from proof-of-concept to production</li><li>Ensure all engineering solutions meet security and enterprise architecture standards</li><li>Perform thorough code reviews to maintain high-quality standards</li></ul>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>
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.<br><br>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.<br><br>Key Responsibilities<br><br>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).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.
<p><strong>Description:</strong></p><p>We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.</p><p><br></p><p> <strong>Essential Functions:</strong></p><ul><li>Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R& D knowledge mining, regulatory intelligence, and medical information services.</li><li>Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).</li><li>Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).</li><li>Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.</li><li>Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.</li><li>Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.</li><li>Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.</li></ul><p><br></p>
<p>We are looking for a talented Data Reporting Analyst to support our Personal Loans Marketing team in Chicagoland. In this role, you will leverage data to provide actionable insights, optimize marketing campaigns, and drive business performance. This is a long-term contract position and offers an exciting opportunity to collaborate with cross-functional teams to develop innovative reporting solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design and maintain efficient data workflows to support the creation of marketing dashboards and performance reports.</p><p>• Document and standardize data definitions, sources, and logic to ensure consistent usage and governance.</p><p>• Optimize database queries and backend processes to improve scalability and processing speed.</p><p>• Conduct quality assurance checks to ensure the accuracy and integrity of marketing datasets and reports.</p><p>• Automate recurring reporting processes to track campaign performance metrics such as conversions and cost-per-acquisition.</p><p>• Collaborate with engineering and data science teams to streamline data integration and ensure high-quality data sources.</p><p>• Develop dynamic dashboards using tools like Tableau, enabling business stakeholders to monitor trends and key performance indicators.</p><p>• Provide ad hoc data analyses and reports to support decision-making for marketing campaigns.</p><p>• Partner with marketing teams to identify data-driven opportunities for improving campaign strategies.</p>
<p>We are seeking a talented and innovative <strong>AI Engineer</strong> to design, develop, and deploy artificial intelligence solutions that drive real-world impact. This role is ideal for someone with a passion for machine learning, natural language processing, and generative AI, who thrives in fast-paced environments and enjoys turning research concepts into scalable production systems.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and deploy <strong>AI/ML models</strong> to solve complex business problems.</li><li>Work on projects involving <strong>LLMs, NLP, Computer Vision, and Predictive Analytics</strong>.</li><li>Develop APIs and pipelines to integrate AI solutions into enterprise applications.</li><li>Fine-tune and optimize models for performance, scalability, and cost-effectiveness.</li><li>Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions.</li><li>Stay up to date with the latest advancements in <strong>machine learning, generative AI, and deep learning techniques</strong>.</li><li>Monitor, evaluate, and continuously improve deployed AI systems.</li></ul><p><br></p>
We are looking for a skilled Data Analyst with expertise in marketing analytics and reporting to join our team on a long-term contract basis. This role will focus on transforming data from various digital marketing channels into actionable insights that drive strategic decision-making. Based in Somerville, New Jersey, you will collaborate with cross-functional teams to optimize campaign performance and user experience through data-driven solutions.<br><br>Responsibilities:<br>• Design and manage dashboards and reports using tools such as Power BI, Tableau, or Looker to monitor key performance indicators across marketing initiatives.<br>• Utilize SQL and Python to extract, clean, and analyze large datasets from multiple sources, including websites and advertising platforms.<br>• Conduct audits of website and organic search health using tools like Screaming Frog, identifying opportunities to enhance visibility and traffic.<br>• Analyze user behavior through platforms like HotJar to uncover UX insights and recommend actionable improvements.<br>• Collaborate with teams to define measurement requirements and implement effective tracking solutions.<br>• Develop and maintain scalable LookML models and explore layers in Looker to support self-service reporting.<br>• Provide regular summaries of campaign performance, including forecasting models and data analyses, to stakeholders.<br>• Automate routine reporting processes to ensure efficient and consistent data delivery.<br>• Present complex data findings in visually compelling formats, translating them into practical recommendations for marketing strategies.
We are looking for a skilled Sr. Software Engineer to join our dynamic team in Houston, Texas. In this role, you will collaborate with data scientists and machine learning engineers to develop advanced AI tools and applications, including supporting firmwide virtual assistant technologies. This position offers a unique opportunity to work across the entire machine learning lifecycle, from data sourcing and integration to solution design and implementation. If you are passionate about leveraging your technical expertise to drive business value, we encourage you to apply.<br><br>Responsibilities:<br>• Collaborate with global data scientists to deliver machine learning models and solutions for business users and technology teams.<br>• Develop, test, and maintain scalable software tools and data pipelines for machine learning applications.<br>• Provide expertise in software engineering, emphasizing maintainability, performance, and reliability, particularly in Python.<br>• Take ownership of critical technical infrastructure as needed to ensure seamless operations.<br>• Engage with projects at various stages, debugging and enhancing bespoke applications to improve performance and reliability.<br>• Manage multiple projects simultaneously, prioritizing tasks to maximize business impact.<br>• Lead and participate in code reviews, experiment design, and tooling decisions to enhance team productivity and quality.<br>• Act as a bridge between the Data Science team and other technology units for application integration, data sourcing, and infrastructure needs.
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
We are looking for an experienced IT Director to spearhead the development of innovative digital strategies that align with our business objectives. Based in Danboro, Pennsylvania, this leadership role will focus on modernizing operations, driving technological advancements, and enhancing customer engagement. The ideal candidate will possess a strong aptitude for strategic thinking and the ability to implement transformative initiatives across a global organization.<br><br>Responsibilities:<br>• Develop and execute a comprehensive digital strategy to advance organizational goals and improve operational efficiency.<br>• Lead the adoption of AI, Data Science, and Automation tools to drive innovation and optimize business processes.<br>• Oversee the integration and optimization of CRM systems to enhance customer relationships and streamline workflows.<br>• Collaborate with cross-functional teams to ensure alignment between technology solutions and business needs.<br>• Establish and maintain a robust IT infrastructure to support scalable growth and global operations.<br>• Monitor emerging industry trends and technologies to identify opportunities for continuous improvement.<br>• Manage IT budgets and resources effectively, ensuring cost-efficient technology investments.<br>• Provide strategic leadership to the IT department, fostering innovation and growth.<br>• Ensure compliance with data security and privacy regulations across all digital platforms.<br>• Build strong partnerships with external vendors and stakeholders to enhance technological capabilities.
<p>Position Summary:</p><p>- Under general supervision the Technical Analyst will bring a strong analytical mindset in support of business needs analysis and data/analytical solution development. This role combines technical capabilities with business analysis to analyze test and implement solutions that drive operational efficiency through advanced analytical capabilities. The ideal candidate will have a strong technical background and be comfortable working with large datasets spatial and temporal and collaborating with cross-functional teams including data scientists to deliver impactful outcomes. Strong analytical thinking self-drive and excellent communication and collaboration skills are essential.</p><p><br></p><p>Duties and Responsibilities:</p><p>- Analyze business processes and translate requirements into technical/analytical specifications.</p><p>- Design and develop scripts APIs and automation tools to support advanced technical analysis.</p><p>- Build and maintain data pipelines in support of data analytics.</p><p>- Collaborate with stakeholders and data scientists to define problems document solutions and support implementation.</p><p>- Develop/improve reports and visualizations as needed to communicate insights and metrics.</p><p>- Ensure data quality and reliability in support of analytics and insights.</p><p>- Support Agile development processes including sprint planning backlog grooming and UAT.</p><p>- Prepare technical documentation and contribute to knowledge sharing across teams.</p><p>- Apply geospatial analysis techniques and tools to support location-based decision-making.</p>
<p>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p><br></p>
<p>We are looking for a Data Analyst to join our team in Jacksonville, Florida, on a Contract to permanent basis. In this role, you will play a pivotal part in supporting AI-driven systems, enhancing predictive models, and collaborating with partners to derive actionable insights from complex datasets. This position is ideal for someone with a strong foundation in data analysis, statistical modeling, and an interest in AI training workflows.</p><p><br></p><p>Responsibilities:</p><p>• Manage and optimize AI systems designed to extract structured data.</p><p>• Collaborate on prompt engineering processes to refine and validate AI system performance.</p><p>• Maintain and enhance AI systems that integrate IoT device data to deliver actionable insights.</p><p>• Expand and update Python-based predictive models and statistical analyses as new data becomes available.</p><p>• Partner with clinical teams to design and implement analyses aligned with evolving business needs.</p><p>• Work closely with external AI partners to ensure data strategies align with operational objectives.</p><p>• Translate clinical requirements into data queries and model enhancements.</p><p>• Document processes, findings, and improvements to ensure clear communication with stakeholders.</p>
We are looking for a highly skilled Software Engineer to join our dynamic team in Conshohocken, Pennsylvania. As part of this role, you will collaborate with developers, testers, and analysts to design and implement innovative software solutions. The ideal candidate will bring expertise in modern software development practices and will contribute to both current projects and future architectural enhancements.<br><br>Responsibilities:<br>• Collaborate with cross-functional teams, including offshore and onshore developers, testers, and analysts, to deliver high-quality software solutions.<br>• Design and implement maintainable distributed software architectures for web-based environments using industry best practices.<br>• Create reusable and scalable code that adheres to modern design principles and ensures system-wide compatibility.<br>• Work with existing software codebases, providing insights and recommendations for future architectural improvements.<br>• Tackle complex technical challenges by developing creative and efficient solutions.<br>• Share knowledge and methodologies with team members, including pair programming and collaborative coding practices.<br>• Participate in all phases of the software development lifecycle, including analysis, design, coding, code reviews, testing, and deployment.
We are looking for an experienced IT Director to lead and oversee the technology infrastructure and operations within our organization. Based in Live Oak, Texas, this role requires a visionary leader who can align IT strategies with business objectives while managing daily operations and long-term initiatives. The ideal candidate will possess strong leadership skills, technical expertise, and a proven ability to drive innovation and efficiency.<br><br>Responsibilities:<br>• Develop and implement strategic IT plans that align with organizational goals and foster long-term growth.<br>• Lead and mentor teams responsible for infrastructure, service desk operations, and cloud systems.<br>• Optimize daily IT operations across multiple locations, ensuring reliability, security, and scalability of systems.<br>• Monitor and report on key performance indicators (KPIs) and service level agreements (SLAs) to ensure operational excellence.<br>• Collaborate on cross-functional IT projects, integrating enterprise tools, collaboration systems, and jobsite technologies.<br>• Drive the adoption of modernized and automated processes to enhance IT operations.<br>• Manage risk and security protocols, including disaster recovery planning and backup systems.<br>• Build and maintain strong vendor relationships, overseeing contracts and budgets for infrastructure-related services.<br>• Ensure compliance with cybersecurity standards in partnership with the Information Security team.<br>• Partner with IT project managers to deliver infrastructure projects on schedule and aligned with business priorities.
<p>This <strong>entry-level</strong> role supports operational activities across various enterprise systems related to <strong>manufacturing, supply chain, finance, and commercial operations</strong>. The analyst will collaborate with both technical and business teams to resolve issues, assist with system enhancements, and support integration efforts. This position offers an excellent opportunity to gain <strong>broad exposure to enterprise IT systems</strong> within a multinational organization.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Support daily operations of enterprise applications, integrations, and data workflows</li><li>Troubleshoot and resolve system or data-related issues with internal and external stakeholders</li><li>Execute configuration updates, system checks, and user-requested changes under guidance</li><li>Assist with onboarding processes for partners, users, or data feeds</li><li>Participate in testing and validation of system updates and project rollouts</li><li>Create and maintain documentation for standard operating procedures and user support</li><li>Monitor system dependencies including certificates, file transfers, and scheduled tasks</li><li>Collaborate with global IT and business teams to ensure application reliability</li><li>Comply with internal controls, data governance standards, and regulatory requirements (e.g., SOX, GDPR)</li></ul><p><br></p>
<p>We are looking for a highly skilled Lead Data Analyst. In this long-term contract position, you will play a pivotal role in driving data analytics initiatives, translating complex business requirements into actionable insights, and leading projects that enhance organizational decision-making. This role requires strong leadership capabilities, technical expertise, and a passion for leveraging data to solve real-world business problems.</p><p><br></p><p>Responsibilities:</p><p>• Lead data analytics projects from conception to deployment, ensuring alignment with business objectives and requirements.</p><p>• Collaborate with stakeholders across functions to identify opportunities for applying data analytics solutions to business challenges.</p><p>• Develop and maintain dashboards, reports, and visualizations using business intelligence platforms such as Power BI and Tableau.</p><p>• Ensure data integrity by coordinating with business process owners and implementing robust validation and mapping processes.</p><p>• Provide technical leadership and mentorship to other analysts, fostering best practices in data analytics and governance.</p><p>• Conduct root cause analysis and advanced troubleshooting to address complex data-related issues.</p><p>• Translate stakeholder requirements into effective data analytics solutions, leveraging tools and methodologies to deliver optimal results.</p><p>• Lead discussions and presentations to medium-sized groups, building credibility and rapport within the organization.</p><p>• Drive data migration and transformation efforts, ensuring seamless integration and alignment with business processes.</p><p>• Apply expertise in relational database and data modeling concepts to support analytics initiatives.</p>
<p>We are looking for a skilled Data Analyst to join our client's team in Maine. In this role, you will transform complex datasets into meaningful insights and visualizations, enabling informed decision-making across the organization. The ideal candidate combines technical experience with a strong understanding of data security principles to ensure the integrity and privacy of organizational data.</p><p><br></p><p>Responsibilities:</p><ul><li>Design, develop, and maintain interactive dashboards and reports using Power BI or Tableau.</li><li>Write complex SQL queries to extract, manipulate, and analyze data from various databases.</li><li>Perform data cleaning, transformation, and analysis using Excel.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.</li><li>Monitor and ensure the security and privacy of data, adhering to internal and external compliance standards.</li><li>Identify trends, patterns, and anomalies in data to support strategic initiatives.</li><li>Document processes, methodologies, and findings clearly and concisely.</li><li>Support ad hoc reporting and analysis requests from stakeholders.</li></ul>
<p><strong>Job Summary:</strong></p><p> The Data Engineer will build and optimize data pipelines, ensuring reliable data collection, storage, and access for analytics and machine learning use cases. This role will work closely with analytics and engineering teams to design scalable data architectures.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain ETL/ELT pipelines for structured and unstructured data.</li><li>Integrate data from multiple sources into cloud data warehouses (Snowflake, BigQuery, Redshift).</li><li>Optimize data storage and retrieval for performance and scalability.</li><li>Collaborate with analysts and data scientists to ensure data quality.</li><li>Implement data governance and security best practices.</li></ul><p><br></p>
<p>We are seeking an Enterprise Architect – AI/Data to design and implement enterprise-level AI and data architectures that align with business objectives and enhance operational capabilities. This role requires deep expertise in AI/ML technologies, big data platforms, and enterprise architecture frameworks.</p><p>Key Responsibilities:</p><ul><li>Design and develop end-to-end AI and data architectures ensuring scalability, security, and performance</li><li>Create architectural blueprints and roadmaps for AI and data integration across the organization</li><li>Lead the development of data platforms and AI-driven systems for advanced analytics and automation</li><li>Define AI strategy and oversee its implementation across business units</li><li>Deploy and integrate AI models and tools into production systems</li><li>Design scalable cloud and on-premises data architectures using Azure, AWS, or Google Cloud</li><li>Work with big data technologies (Hadoop, Spark) and data lake architectures</li><li>Manage integration of AI models into big data platforms for structured and unstructured data</li><li>Collaborate with business and technical teams to translate needs into AI/data solutions</li><li>Stay current with AI, ML, and data technology advancements and best practices</li><li>Assess and mitigate risks related to AI and data architectures, ensuring compliance and security</li></ul><p><br></p>
<p>We are looking for an experienced Data Engineer to join our team in Houston. In this role, you will design and optimize data pipeline architecture, ensuring the seamless integration and analysis of structured and unstructured data. You will collaborate with stakeholders to deliver reliable and scalable data solutions that align with organizational objectives.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain scalable data pipelines using Microsoft Fabric components, including Azure Data Factory, Lakehouse, Data Warehouses, and Dataflows.</p><p>• Implement solutions for extracting, integrating, and processing large volumes of structured and unstructured data.</p><p>• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver tailored solutions.</p><p>• Optimize and troubleshoot data pipelines to ensure high performance and reliability.</p><p>• Apply data governance and security best practices to maintain data integrity and compliance.</p><p>• Monitor and enhance data infrastructure to ensure scalability and availability.</p><p>• Stay informed on advancements in data engineering and Microsoft Fabric technologies to drive innovation.</p><p>• Manage the Data Platform roadmap, including capacity planning, future-proofing, and optimization.</p><p>• Address data quality issues by tracing lineage, implementing cleansing processes, and ensuring consistency.</p><p>• Coordinate with IT Operations and external vendors to resolve production issues and improve platform capabilities.</p>
<p><strong>About the Role:</strong></p><p>We’re seeking a motivated and tech-savvy individual to join our IT team as a PC/Entry-Level IT Support Technician. This is an excellent opportunity for recent graduates or individuals looking to start their career in IT. You’ll gain hands-on experience supporting end-users, troubleshooting hardware and software issues, and maintaining IT systems in a dynamic environment.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Provide first-level technical support for desktops, laptops, printers, and mobile devices.</li><li>Troubleshoot and resolve hardware, software, and network issues.</li><li>Assist with setup and configuration of new equipment and user accounts.</li><li>Perform routine maintenance and updates on systems and applications.</li><li>Document support requests and resolutions in the ticketing system.</li><li>Support remote users via phone, email, and remote access tools.</li><li>Collaborate with senior IT staff on projects and escalated issues.</li></ul><p><strong>Qualifications:</strong></p><ul><li>Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (or equivalent experience).</li><li>Strong interest in technology and problem-solving.</li><li>Basic understanding of Windows OS, Microsoft Office, and networking fundamentals.</li><li>Excellent communication and customer service skills.</li><li>Ability to work independently and as part of a team.</li><li>Willingness to learn and grow in a fast-paced IT environment.</li></ul><p><strong>Preferred (but not required):</strong></p><ul><li>Internship or volunteer experience in IT support.</li><li>Familiarity with Active Directory, Office 365, or ticketing systems.</li></ul><p><strong>Why Join Us?</strong></p><ul><li>Supportive team environment with mentorship opportunities.</li><li>Hands-on experience with a wide range of technologies.</li><li>Career development and training resources.</li><li>Great opportunity to launch your IT career!</li></ul><p><br></p>
<p>Robert Half has a client seeking a copywriter with experience writing for HCP audiences who can help bring the brand voice to life across digital, print, and experiential channels for the Medical Products Division. You’ll craft copy that connects with audiences, builds trust, and drives action while ensuring alignment with brand guidelines, messaging frameworks, and business objectives. The ideal candidate combines strategic insight, storytelling excellence, and a deep understanding of HCP audiences to deliver clear, compelling and compliant communications. </p><p> </p><p> <strong>Responsibilities include:</strong></p><ul><li>Leverage brand identity and messaging to create channel optimized content across web, digital, social, print, video, and event communications.</li><li>Translate complex medical and engineering concepts into clear, engaging, audience-focused content in collaboration with design, digital and product teams.</li><li>Edit and refine copy from other writers and agencies, ensuring clarity, consistency and adherence to communication standards. </li><li>Partner with design, digital strategy and product teams to optimize content delivery.</li><li>Maintain and advocate for brand voice, ensuring consistency across all touchpoints.</li><li>Contribute to campaign strategy with fresh ideas, storytelling approaches, and creative problem-solving.</li><li>Balance creativity with compliance, adapting copy to meet legal, regulatory, or complex technical requirements as needed.</li></ul><p><br></p>
