<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team near Raleigh, North Carolina. In this role, you will play a pivotal part in transitioning our organization from descriptive analytics to predictive analytics, enabling data-driven decision-making and storytelling through advanced insights. This is an excellent opportunity to build innovative solutions from the ground up within a collaborative and supportive environment.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with business teams to understand their needs and identify opportunities for predictive analytics applications.</p><p>• Design and implement machine learning models and algorithms to deliver actionable insights.</p><p>• Develop and maintain analytical solutions using tools like Python, R, and TensorFlow.</p><p>• Utilize cloud platforms such as Microsoft Azure to deploy and manage machine learning workflows.</p><p>• Create compelling data visualizations using BI tools like Power BI to communicate findings effectively.</p><p>• Lead efforts to identify and prioritize predictive analytics projects aligned with organizational goals.</p><p>• Provide technical expertise and guidance to team members, ensuring the success of analytics initiatives.</p><p>• Drive the adoption of advanced analytics practices across the organization.</p><p>• Ensure data integrity and optimize data pipelines to support machine learning processes.</p><p>• Stay current with emerging trends and technologies in artificial intelligence and predictive analytics.</p>
<p>Robert Half is hiring! We are looking for an experienced AI Engineer to join our team. In this role, you will play a pivotal part in developing cutting-edge machine learning solutions that enhance our SaaS platform and drive innovation. You will collaborate with cross-functional teams to create scalable AI systems that improve user experiences, automate operations, and expand product capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement machine learning models, including predictive analytics and generative AI features, tailored for a modern SaaS platform.</p><p>• Build and optimize AI pipelines for data preparation, feature engineering, model training, evaluation, and deployment.</p><p>• Collaborate with product, data, and engineering teams to identify AI-driven opportunities that address business challenges.</p><p>• Develop cloud-based solutions using APIs, microservices, and containerized infrastructure to integrate machine learning models.</p><p>• Research and evaluate third-party AI tools and frameworks to enhance productivity and system functionality.</p><p>• Ensure AI systems adhere to privacy, security, and reliability standards while maintaining fairness and accuracy.</p><p>• Document workflows, maintain experiment logs, and establish reproducible processes for AI development.</p><p>• Stay informed about advancements in machine learning, generative AI, and SaaS architecture to apply best practices in projects.</p>
<p>We are seeking an innovative <strong>AI Engineer</strong> to design, develop, and deploy artificial intelligence solutions that drive business transformation. This role involves working with machine learning models, natural language processing, and automation technologies to solve complex problems and enhance operational efficiency. The ideal candidate is passionate about AI, has strong programming skills, and thrives in a collaborative environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement AI and machine learning models for business applications.</li><li>Develop algorithms for predictive analytics, NLP, and computer vision.</li><li>Collaborate with data scientists and engineers to integrate AI solutions into existing systems.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Conduct research on emerging AI technologies and recommend innovative solutions.</li><li>Ensure compliance with data privacy and security standards.</li><li>Document processes, models, and workflows for future reference.</li></ul><p><br></p><p><br></p><p><br></p>
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
We are looking for an Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This is a contract-to-permanent position, offering an exciting opportunity to apply cutting-edge AI technologies to real-world challenges. The ideal candidate will have a strong background in machine learning, data preprocessing, and model development, as well as a keen interest in exploring innovative AI tools and frameworks.<br><br>Responsibilities:<br>• Design, train, and optimize machine learning models using frameworks like TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI solutions into existing applications and services within secure on-premises environments.<br>• Experiment with large language models (LLMs) and agent-based coding tools to assess their potential for automation and analytics.<br>• Process and analyze structured and unstructured data from various internal systems to enhance model performance.<br>• Collaborate with teams to ensure compliance with Criminal Justice Information Systems and Personally Identifiable Information protection standards.<br>• Work alongside analysts and IT professionals to identify opportunities for AI-driven operational improvements.<br>• Participate in code reviews, testing, and deployment processes to ensure high-quality outcomes.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance principles.<br>• Conduct feature engineering and model evaluations to refine AI solutions.
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.
We are looking for an experienced Senior AI Engineer to join our team in San Francisco, California. In this role, you will leverage cutting-edge technologies to design and implement advanced AI solutions, ensuring optimal performance and scalability. This position offers the opportunity to work on innovative projects that push the boundaries of artificial intelligence.<br><br>Responsibilities:<br>• Develop and optimize AI models and systems to meet business objectives.<br>• Collaborate with cross-functional teams to integrate AI technologies into existing workflows.<br>• Design and implement algorithms using Python and other programming languages.<br>• Utilize Agentic AI and LangGraph to create intelligent solutions tailored to client needs.<br>• Conduct thorough testing and validation to ensure the accuracy and reliability of AI models.<br>• Analyze complex datasets to uncover insights and improve system performance.<br>• Stay updated on industry trends and advancements, applying them to enhance project outcomes.<br>• Provide technical guidance and mentorship to less experienced team members.<br>• Document processes and solutions to maintain transparency and facilitate knowledge sharing.
<p><strong>Job Title:</strong> AI Engineer</p><p> <strong>Location:</strong> Hybrid – Santa Monica, CA</p><p> <strong>Compensation:</strong> $100,000 – $110,000 base salary</p><p><strong>About the Role</strong></p><p> We are seeking a motivated <strong>AI Engineer</strong> with 1–2 years of experience to join our growing team. This role is ideal for someone with a strong foundation in Python, exposure to QA/testing practices, and a desire to apply these skills to real-world AI solutions. You’ll work closely with our engineering and product teams to design, test, and optimize AI-driven applications.</p><p><br></p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
We are looking for a skilled Senior Software Engineer to design and implement innovative software solutions. This role involves creating scalable systems, optimizing performance, and contributing to cutting-edge technologies, including machine learning and vector databases. Join our team in New York, New York, and help shape the future of software development.<br><br>Responsibilities:<br>• Design and develop scalable software solutions using Python and modern architectural patterns.<br>• Build and maintain distributed systems with a focus on multi-threaded programming.<br>• Develop and integrate RESTful APIs to ensure seamless communication between applications.<br>• Optimize data storage and retrieval using MongoDB and Redis.<br>• Explore and implement vector databases such as pgvector and timescale.<br>• Collaborate on machine learning initiatives, including the application of large language models (LLMs).<br>• Utilize cloud platforms like Amazon Web Services (AWS) to enhance system performance and scalability.<br>• Conduct thorough testing and debugging to ensure high-quality software delivery.<br>• Stay updated on emerging technologies to drive innovation within the team.
<p>The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.</p><p> </p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures)</li><li>Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM)</li><li>Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving</li><li>Own MLOps practices: experiment tracking (MLflow, W& B), model registry, CI/CD for ML, canary deployments, drift detection, and observability</li><li>Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code</li><li>Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex)</li><li>Continuously monitor, retrain, and improve live models to maintain performance and reliability</li></ul><p><br></p>
<p>The AI/ML Engineer will design, build, and deploy production-grade machine learning and AI systems that power core products and features. This role bridges cutting-edge research with reliable, scalable engineering, turning prototypes into high-performance services that run 24/7 in production.</p><p> </p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation, deployment, and monitoring</li><li>Develop, optimize, and productionize models using PyTorch/TensorFlow/JAX (including LLMs, vision, multimodal, and custom architectures)</li><li>Optimize inference for latency, memory, and cost (quantization, pruning, distillation, TensorRT, ONNX, vLLM)</li><li>Integrate models into backend systems via REST/gRPC APIs, event-driven architectures, or real-time serving</li><li>Own MLOps practices: experiment tracking (MLflow, W& B), model registry, CI/CD for ML, canary deployments, drift detection, and observability</li><li>Collaborate with data scientists to harden research prototypes into clean, tested, production-ready code</li><li>Build and maintain retrieval-augmented generation (RAG), agentic workflows, and prompt-engineered systems when appropriate (LangChain, LlamaIndex)</li><li>Continuously monitor, retrain, and improve live models to maintain performance and reliability</li></ul><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Cloud AI Engineer (contract).</strong> In this role, you will lead the design, development, and implementation of enterprise AI solutions in cloud environments. <strong>This role is onsite 3 days per week in Austin, TX. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Supports strategic initiatives and technology projects with a focus on AI and cloud solutions.</li><li>Define, design, and administer highly scalable AI systems on cloud platforms such as AWS, Azure, and GCP.</li><li>Implement essential capabilities including model training, inference, reporting and seamless integration.</li><li>Participates in end-to-end delivery of AI solutions including systems analysis, coding, testing, deployment, and optimization.</li><li>Supports troubleshooting, risk management, technical standards SOPs, and documentation.</li></ul>
Principal Data Scientist – Data & AI (Hybrid)<br><br>Global Technology Organization<br><br>We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide.<br><br>In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact.<br><br>What You’ll Work On<br><br>Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources.<br><br>Lead the design and optimization of scalable data pipelines to support production-grade ML systems.<br><br>Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions.<br><br>Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness.<br><br>Produce clear documentation and communicate insights effectively to both technical and non-technical audiences.<br><br>Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies.<br><br>Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem.<br><br>Preferred Qualifications<br><br>Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required).<br><br>10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact.<br><br>Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch.<br><br>Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development.<br><br>Proven experience deploying models in cloud-based or distributed environments.<br><br>Who Thrives Here<br><br>Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions.<br><br>Strong analytical thinkers with exceptional communication skills.<br><br>Collaborative professionals who enjoy working across engineering, product, and data teams.<br><br>Individuals who embrace continuous learning and stay ahead of modern ML trends.
We are looking for a Principal AI Software Architect to lead the design, development, and implementation of cutting-edge AI and software solutions across the organization. This role is ideal for a visionary leader who excels in combining technical expertise with architectural strategy to deliver scalable, innovative systems. As a contract position based in Columbus, Ohio, this opportunity requires someone with a strong background in AI, software engineering, and enterprise-level architecture.<br><br>Responsibilities:<br>• Lead the architecture, design, and deployment of AI-driven platforms and scalable software systems that align with organizational goals.<br>• Collaborate with cross-functional teams, including engineering, product management, and business stakeholders, to identify and address technical challenges.<br>• Evaluate and select advanced AI tools, frameworks, and technologies to optimize performance and scalability.<br>• Establish and enforce best practices for AI model development, MLOps, software engineering, DevOps, and system architecture.<br>• Provide mentorship and guidance to engineering teams, fostering a culture of innovation and technical excellence.<br>• Drive the technical strategy and long-term planning to align engineering initiatives with enterprise objectives.<br>• Ensure adherence to data privacy, security, and ethical standards in all AI and software development efforts.<br>• Conduct code reviews, implement automated testing processes, and promote continuous integration and delivery pipelines.<br>• Monitor emerging technologies and methodologies to identify opportunities for innovation and improvement.
We are looking for a talented Sr. Software Engineer to join our team in New York, New York. In this role, you will focus on backend development while working with cutting-edge technologies to design and implement scalable solutions. Ideal candidates will have experience in system architecture and cloud-based platforms, with a passion for building robust and innovative systems.<br><br>Responsibilities:<br>• Develop and maintain backend systems using Node.js and Golang to ensure optimal performance and scalability.<br>• Collaborate with frontend teams utilizing React.js, TypeScript, and Next.js to create seamless user experiences.<br>• Design and implement cloud-based solutions using Docker, Kubernetes, and Google Cloud Platform.<br>• Architect and optimize backend systems to support real-time processing and bidding functionalities.<br>• Work with Kafka to manage and process large data streams efficiently.<br>• Utilize AI and machine learning to enhance ad optimization and performance.<br>• Contribute to the design and development of systems within AdTech platforms.<br>• Perform system design tasks to ensure reliability and scalability of applications.<br>• Troubleshoot and resolve technical issues to maintain system stability and functionality.
<p>We're seeking a Data Engineer to design, build, and optimize data pipelines supporting advanced analytics, AI, and machine learning initiatives for a client in Watertown, MA. This role combines technical expertise with collaboration across IT and business teams to deliver scalable, secure, and impactful data solutions. This role is onsite 4 days a week in Watertown. </p><p><strong>Responsibilities</strong></p><ul><li>Develop and manage data pipelines using Python, SQL Server, Snowflake, and Azure Data Factory.</li><li>Optimize T-SQL code and database structures for performance and reliability.</li><li>Integrate analytics and machine learning outputs into business workflows.</li><li>Ensure compliance with data governance and security standards.</li><li>Collaborate with stakeholders to refine requirements and deliver solutions.</li><li>Support BI tools such as Power BI, Tableau, and SQL Server BI stack.</li></ul><p><br></p>
<p>We are looking for a highly skilled Data Scientist to join our Enterprise Data and Analytics team on a long-term contract basis. In this role, you will apply advanced machine learning techniques and statistical analysis to large datasets, helping us better understand our customers and communities. The ideal candidate will have a passion for transforming data into actionable insights that support strategic decision-making and business growth.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced analytics models to derive value from large-scale datasets.</p><p>• Conduct experiments and develop predictive models to address complex business challenges.</p><p>• Research and apply cutting-edge machine learning, deep learning, and AI methodologies.</p><p>• Develop and refine algorithms for training and evolving machine learning models.</p><p>• Present data-driven insights and recommendations to influence product development and strategy.</p><p>• Promote best practices in analytics and data utilization across teams.</p><p>• Manage the end-to-end model development process, including requirement gathering, data sourcing, model building, result presentation, and production implementation.</p><p>• Collaborate with cross-functional teams to drive data science initiatives and improve analytical capabilities.</p><p>• Ensure the organization’s data infrastructure supports robust analytics and reporting.</p><p>• Stay updated on emerging technologies and trends in data science and machine learning.</p>
<p><strong><u>Data Engineer</u></strong></p><p><strong>Onsite 4x week in El Segundo</strong></p><p><strong>$130K - $160K + benefits</strong></p><p>We are looking for an experienced Data Engineer to join our dynamic team in El Segundo, California. In this role, you will play a key part in designing, developing, and optimizing data pipelines and architectures to support business operations and analytics. This position offers the opportunity to work on cutting-edge technologies, including AI and machine learning applications.</p><p><br></p><p>Responsibilities:</p><p>• Develop, test, and maintain scalable data pipelines and architectures to support business intelligence and analytics needs.</p><p>• Collaborate with cross-functional teams to integrate data from diverse sources, including D365 Commerce and Adobe Experience Platform.</p><p>• Utilize Python, PySpark, and Azure data services to transform and orchestrate datasets.</p><p>• Implement and manage Kafka-based systems for real-time data streaming.</p><p>• Ensure compliance with data governance, security, and privacy standards.</p><p>• Optimize data storage solutions, leveraging medallion architecture and modern data modeling practices.</p><p>• Prepare datasets for AI/ML applications and advanced analytical models.</p><p>• Monitor, troubleshoot, and improve the performance of data systems.</p><p>• Design semantic models and dashboards using Power BI to support decision-making.</p><p>• Stay updated on emerging technologies and best practices in data engineering.</p>
<p> <strong>Key Highlights:</strong></p><ul><li>Design and implement scalable AI and data architectures aligned with business goals</li><li>Lead development of data platforms and AI-driven systems for analytics, automation, and machine learning</li><li>Collaborate across business and technical teams to translate needs into architectural solutions</li><li>Stay current with emerging AI technologies and drive innovation across the organization</li></ul><p><br></p>
<p><strong>About the Role</strong></p><p>We are seeking a <strong>Senior AI Business Analyst</strong> to bridge the gap between business needs and advanced AI solutions. This role involves analyzing complex business processes, identifying opportunities for AI-driven improvements, and collaborating with technical teams to deliver impactful solutions. You will play a critical role in shaping AI strategies and ensuring successful implementation across the organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Business Analysis & Strategy</strong></li><li>Partner with stakeholders to understand business objectives and translate them into AI use cases.</li><li>Conduct feasibility studies and ROI analysis for AI initiatives.</li><li>Develop business requirements and functional specifications for AI-driven solutions.</li><li><strong>Data & Insights</strong></li><li>Collaborate with data scientists and engineers to ensure data quality and relevance for AI models.</li><li>Analyze large datasets to identify patterns, trends, and actionable insights.</li><li>Support model evaluation and performance monitoring from a business perspective.</li><li><strong>Project Management</strong></li><li>Lead AI-related projects from concept to deployment, ensuring alignment with business goals.</li><li>Manage timelines, deliverables, and stakeholder communication.</li><li><strong>Innovation & Thought Leadership</strong></li><li>Stay current on AI technologies, tools, and industry trends.</li><li>Recommend innovative solutions to enhance business processes and customer experience.</li></ul><p><br></p>
<p>Are you passionate about using artificial intelligence to drive meaningful change in communities? Our client, a forward-thinking organization in the public sector, is seeking an <strong>AI Developer</strong> to architect and deploy intelligent solutions that enhance public services, streamline operations, and empower data-driven decision-making. This is your chance to work on impactful projects that directly benefit residents, city departments, and leadership—powered by <strong>Microsoft Azure AI</strong>.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement <strong>AI/ML models</strong> using <strong>Azure Machine Learning</strong>, <strong>Azure OpenAI</strong>, and <strong>Cognitive Services</strong></li><li>Build and maintain <strong>chatbots</strong>, <strong>document intelligence</strong>, <strong>predictive analytics</strong>, and <strong>natural language processing (NLP)</strong> solutions</li><li>Collaborate with <strong>data engineers, analysts, and public service teams</strong> to identify opportunities for AI integration</li><li>Deploy and monitor models using <strong>Azure ML pipelines</strong>, <strong>Azure Functions</strong>, and <strong>Azure Kubernetes Service (AKS)</strong></li><li>Ensure all AI solutions meet <strong>security, ethical, and regulatory standards</strong></li><li>Document models, workflows, and APIs for scalability and internal knowledge sharing</li><li>Stay ahead of emerging AI trends and technologies, especially those impacting the <strong>public sector and smart city initiatives</strong></li></ul><p><br></p>
We are looking for an entry-level Data Scientist to join a dynamic analytics team in New York, New York. This role offers the opportunity to work closely with large datasets, uncover meaningful trends, and present actionable insights directly to clients. If you are detail-oriented, technically skilled, and passionate about turning data into impactful business solutions, this position is an excellent fit for you.<br><br>Responsibilities:<br>• Analyze large client datasets to perform Matchback reporting using Excel and internal tools.<br>• Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights.<br>• Present analytical findings and recommendations directly to clients, showcasing strong communication skills.<br>• Collaborate with team members and executives to ensure alignment on data-driven strategies.<br>• Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed.<br>• Maintain and optimize reporting processes to ensure accuracy and efficiency.<br>• Utilize Python and SQL to support data analysis and visualization tasks.<br>• Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting.<br>• Provide timely updates and insights to stakeholders, contributing to strategic decision-making.
<p>We are seeking a Data Engineer responsible for designing, building, and maintaining the architecture and infrastructure needed to collect, store, process, and analyze large datasets efficiently. Someone with experience in a critical role supporting analytics and business intelligence teams by ensuring data is accessible, reliable, and ready for downstream use.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<p>We are seeking a Data Engineer responsible for designing, building, and maintaining the architecture and infrastructure needed to collect, store, process, and analyze large datasets efficiently. Someone with experience in a critical role supporting analytics and business intelligence teams by ensuring data is accessible, reliable, and ready for downstream use. </p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
