<p>As a Data Scientist, you will analyze complex datasets to extract actionable insights and build data-driven solutions. You will work closely with cross-functional teams to design predictive models, create data visualizations, and develop algorithms that support business objectives.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze large, structured, and unstructured datasets to identify patterns and trends.</li><li>Design, develop, and implement machine learning models and statistical algorithms.</li><li>Conduct exploratory data analysis (EDA) to support decision-making.</li><li>Collaborate with engineering and business teams to translate business needs into data-driven solutions.</li><li>Create and deploy predictive and prescriptive analytics solutions.</li><li>Build and maintain data pipelines and workflows to support data accessibility.</li><li>Develop visualizations, dashboards, and reports to communicate findings effectively.</li><li>Stay updated with the latest advancements in data science and integrate them into projects.</li></ul><p><br></p>
Description: As a Senior Analytics Engineer at The Walt Disney Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you& #39;re passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. You will: Architect and design data products using foundational data sets. Develop and maintain code for data products. Consult with business stakeholders on data strategy and current data assets. Provide specifications for data ingestion and transformation. Document and instruct others on using data products for automation and decision-making. Build data pipelines to automate the creation and deployment of knowledge from models. Monitor and improve statistical and machine learning models in data products. Work with data scientists to implement methodologies for marketing problem-solving. Coordinate with other science and technology teams.Required Education ● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent work experience. Must be okay working 4 onsite per week. Expert level on SQL-definitely must have Snowflake nice to have AWS is nice to have -4 plus years experience on SQL< br >Preferred Qualifications:Required Education<br>● Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent<br>work experience.<br>● Master’s Degree is a plus.< br >Basic Qualifications: Bachelor& #39;s degree in Computer Science, Information Systems, Software Engineering, or<br>related field.<br> 5+ years of experience in analytics engineering and technology.<br> Demonstrated academic achievement in statistics and probability.<br> Proficiency in Python and SQL.<br> Strong problem-solving, decision-making, and critical thinking skills.<br> Outstanding interpersonal skills and ability to manage multiple priorities.<br> Strong written and verbal communication skills.<br> Ability to work independently and collaboratively in a diverse environment.<br>Project management and business analysis skills preferred Education: STEM Bachelor's Degree
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>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>
<p>We are looking for an experienced VP of Strategic Marketing and Client Engagement. In this leadership role, you will drive the development of innovative marketing strategies designed to align with client business goals and enhance engagement through data-driven approaches. This position requires a strong blend of strategic vision, analytical expertise, and collaborative leadership to deliver impactful results for healthcare and life sciences clients. Candidates must have experience with both B2B HCP audiences and B2C Physician audiences. This role requires quarterly travel throughout the East Coast. </p><p><br></p><p>Responsibilities:</p><p>• Partner with clients to develop and implement marketing strategies that align with their business objectives and deliver measurable outcomes.</p><p>• Oversee cross-functional collaboration across marketing, analytics, and product teams to optimize media strategies, improve audience targeting, and enhance engagement.</p><p>• Utilize data insights to curate audience segmentation and design campaigns tailored to specific client needs.</p><p>• Play a key role in business development efforts, including campaign performance analysis and strategies for revenue growth.</p><p>• Create and execute plans aimed at improving client satisfaction, retention rates, and overall revenue.</p><p>• Collaborate with analytics teams to ensure data-driven recommendations support omnichannel marketing initiatives.</p><p>• Lead strategic planning efforts in close coordination with data science and engineering teams to deliver insight-focused solutions.</p><p>• Mentor and manage account management, analytics, and strategy teams to drive operational excellence and foster growth.</p><p>• Develop comprehensive strategic roadmaps that guide client projects and enhance marketing program effectiveness.</p><p>• Support the alignment of marketing strategies with organizational growth objectives and industry trends</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>
We are looking for a skilled Database Technology Manager to lead and oversee data management and analytics initiatives. This role requires a balance of technical expertise and leadership to drive innovation and ensure data-driven decision-making across the organization. Based in New York, New York, you will play a critical role in managing advanced database technologies and fostering collaboration between technical and business teams.<br><br>Responsibilities:<br>• Lead the development and implementation of advanced database solutions to meet organizational goals.<br>• Manage and optimize data analytics tools, including Tableau and Microsoft SQL Server, to ensure seamless operations.<br>• Collaborate with cross-functional teams to gather requirements and deliver actionable insights through data visualization.<br>• Provide mentorship and training to team members on data analytics tools and methodologies.<br>• Develop and maintain data governance standards to ensure data security and compliance.<br>• Oversee the creation of compelling visual narratives to communicate data insights effectively to stakeholders.<br>• Drive innovation by identifying opportunities for process improvements and new data solutions.<br>• Stay updated on the latest advancements in database technologies and data science to apply best practices.<br>• Support the design and maintenance of data pipelines and engineering systems.<br>• Collaborate on Agile-based projects to ensure timely and efficient delivery of data-related initiatives.
We are looking for a skilled Generative AI Analyst/Prompt Engineer to join our team on a contract basis in New York, New York. In this role, you will leverage your expertise in data science and artificial intelligence to develop and optimize innovative solutions. This position is an excellent opportunity to work in the financial services industry while applying cutting-edge AI technologies to real-world challenges.<br><br>Responsibilities:<br>• Design, implement, and optimize AI-driven models and solutions tailored to business needs.<br>• Develop and maintain scalable data pipelines and workflows using tools like Apache Kafka, Spark, and Hadoop.<br>• Write and debug Python code, utilizing Jupyter Notebooks for effective data analysis and visualization.<br>• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.<br>• Research and experiment with state-of-the-art generative AI techniques to improve system performance.<br>• Build and manage APIs to facilitate seamless communication between applications and AI models.<br>• Utilize cloud-based technologies, including AWS, to deploy, scale, and monitor AI solutions.<br>• Visualize complex data insights through effective data visualization techniques and tools.<br>• Implement algorithms that solve specific business problems in a robust and efficient manner.
<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.
Job Title: Data Engineer Location: Hybrid, Chicago, IL <br> About the Role: Our company is seeking a Data Engineer with 5–7 years of experience in data engineering. This role is designed for individuals who excel at building robust, scalable data solutions in AWS cloud environments. As part of our team, you’ll engineer and optimize data pipelines critical to our analytics, reporting, and data-driven strategy, while collaborating cross-functionally in a hybrid Chicago-based setting. <br> Key Responsibilities: <br> Design, build, and maintain scalable data pipelines and architectures using AWS cloud services. Develop, manage, and optimize ETL/ELT workflows to acquire, clean, and transform data from diverse sources. Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Monitor pipeline performance and troubleshoot issues to maximize data reliability and efficiency. Apply data governance best practices and maintain technical documentation. <br> Must-Have Technologies: Languages: Python, SQL Cloud: AWS (S3, Redshift, Glue, Lambda, RDS, Data Pipeline) Big Data: Apache Spark, Hadoop, Kafka ETL Tools: Airflow, AWS Data Pipeline Databases: PostgreSQL, MySQL, Redshift, MongoDB Work Arrangement: <br> Hybrid schedule with regular in-office collaboration in Chicago, IL. Preferred Certifications (optional): <br> AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect Certified Data detail oriented (CDP)
We are looking for a talented Copywriter to join our team on a contract basis in Fort Worth, Texas. In this role, you will craft compelling and audience-focused content tailored for physician audiences, while maintaining brand consistency and clarity. This position offers the opportunity to collaborate with technical experts and creative teams, ensuring innovative and compliant messaging across various platforms.<br><br>Responsibilities:<br>• Develop engaging content that aligns with brand identity and messaging for web, digital, social, print, video, and event communications.<br>• Simplify complex medical and engineering concepts into clear, audience-focused copy in collaboration with design, digital, and product teams.<br>• Edit and enhance copy from other writers and agencies, ensuring consistency, clarity, and adherence to established communication standards.<br>• Collaborate with design, digital strategy, and product teams to optimize the delivery of content across multiple channels.<br>• Advocate for and maintain brand voice, ensuring uniformity across all communication touchpoints.<br>• Contribute innovative ideas and storytelling approaches to support campaign strategies and creative problem-solving.<br>• Adapt creative content to meet specific legal, regulatory, or technical requirements, balancing compliance with creativity.
We are looking for a skilled Software Engineer to join our team on a long-term contract basis in Kansas City, Kansas. In this role, you will design, develop, and maintain software applications and systems, ensuring they meet the highest standards of functionality and performance. This position offers an excellent opportunity to work on diverse projects, including enhancements to existing systems and the creation of new software solutions.<br><br>Responsibilities:<br>• Develop and refine software solutions tailored to client specifications, ensuring optimal functionality and performance.<br>• Collaborate with stakeholders to gather and analyze system requirements, translating them into detailed design documents and implementation plans.<br>• Perform coding tasks to create new programs or modify existing ones, adhering to established standards.<br>• Conduct unit testing to ensure the reliability of developed programs and resolve any issues identified.<br>• Prepare comprehensive test plans and migration packages to facilitate system testing, user testing, and smooth implementation.<br>• Customize and implement system software to meet specific client needs, ensuring seamless integration.<br>• Review and analyze requests for system enhancements, providing innovative solutions and detailed specifications.<br>• Provide quality assurance by conducting thorough reviews and validations of software systems post-implementation.<br>• Troubleshoot and resolve technical issues, ensuring the stability and reliability of both new and legacy systems.<br>• Monitor and address bugs or vulnerabilities identified during testing phases, ensuring continuous improvement.
<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>
<p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>This role will be onsite in Marysville, OH four days per week</p><p><br></p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>Project Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
Position Overview<br>We are looking for a versatile IT Support and Application Development Professional with strong expertise in Microsoft technologies to join our team. This position is suited for an experienced individual who enjoys solving complex technical challenges and contributing to innovative technology initiatives. The role involves providing comprehensive technical assistance, building and maintaining software solutions, and partnering with various teams to optimize our technology environment. This is an on-site position and may occasionally require after-hours availability.<br><br>Primary Responsibilities<br><br>Deliver responsive technical assistance for hardware, software, and network-related issues.<br>Design, develop, and maintain applications aligned with organizational needs.<br>Diagnose and resolve advanced technical problems to ensure smooth business operations.<br>Work collaboratively with internal teams to identify and implement technology improvements.<br>Maintain accurate documentation of support activities and development workflows.<br>Support infrastructure management, including servers, networking, and security systems.<br>Research emerging technologies and recommend enhancements to existing systems.<br>Provide mentorship and guidance to less experienced team members.<br><br><br>Required Qualifications<br><br>Bachelor’s degree in Computer Science, Information Systems, or related discipline.<br>Minimum of 5 years in IT support combined with software development experience.<br>Strong proficiency in Microsoft platforms such as Microsoft 365, Azure, and .NET.<br>Solid programming skills in languages like C#, Java, Python, or similar.<br>In-depth understanding of operating systems, networking protocols, and database technologies.<br>Excellent troubleshooting and problem-solving capabilities.<br>Familiarity with IT service management frameworks (e.g., ITIL).<br>Strong communication and collaboration skills.<br>Experience with cloud services (Azure, AWS) and DevOps practices is advantageous.
<p>Our client is seeking a <strong>Lead Engineer / Senior Lead Engineer</strong> to join their technology and systems team. This role sits at the intersection of <strong>technology, operations, and investment strategy</strong>, and will directly influence how the company manages and grows its portfolio.</p><p><br></p><p>Unlike traditional engineering roles, this position is <strong>deeply embedded with business teams</strong>—you’ll work side-by-side with Asset Management, Property Operations, and Construction leaders to design and deploy tools that directly improve operational performance and financial outcomes.</p><p>This is a <strong>hands-on builder role</strong> for someone who thrives on turning complex business needs into real, usable software solutions. You’ll write code, automate workflows, integrate data systems, and build analytics dashboards—all while collaborating closely with executives and operational leaders.</p><p>The company operates a large, vertically integrated portfolio across the Western U.S. and partners with major institutional investors. Its culture emphasizes <strong>teamwork, integrity, innovation, and excellence</strong>—valuing individuals who take ownership and drive measurable impact.</p><p><br></p><p><strong>Primary Responsibilities</strong></p><ul><li><strong>Partner with business teams:</strong> Collaborate directly with property management, asset management, and finance teams to identify pain points, inefficiencies, and opportunities for automation.</li><li><strong>Rapid prototyping & deployment:</strong> Design and deliver data tools, dashboards, and automations that drive immediate results.</li><li><strong>Systems integration:</strong> Connect and streamline workflows across platforms such as Yardi, Zendesk, Palantir Foundry, Excel/Sheets, and internal databases.</li><li><strong>Operational analytics:</strong> Develop analytical models to support forecasting, expense tracking, and portfolio performance analysis.</li><li><strong>AI & automation:</strong> Implement AI-based tools to optimize leasing, maintenance, and communication workflows.</li><li><strong>Measure business impact:</strong> Quantify improvements in efficiency, cost reduction, and performance resulting from technical solutions.</li><li><strong>Cross-functional collaboration:</strong> Translate between business and technical teams to ensure that solutions are practical, scalable, and aligned with business goals.</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>
<p>We are looking for a Senior Data Architect working across diverse domains and technologies. In this long-term contract position, you will play a pivotal role in driving innovation, aligning technology strategies with business goals, and ensuring architectural excellence. This position is based on site 4 days per week in Southern California and offers the opportunity to join an amazing team.</p><p><br></p><p>Daily Tasks Performed: </p><p> - Translates high-level business requirements into data models and appropriate metadata test data and data quality standards. </p><p> - Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps. </p><p> - Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards guidelines and processes to ensure data quality. </p><p> - Works with IT teams business analysts and data analytics teams to understand data consumers' needs and develop solutions. </p><p> - Evaluates and recommends emerging technologies for data management storage and analytics </p><p> - Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services. </p><p><br></p><p> What this person will be working on: </p><p> - Understand data confidentiality security compliance needs and apply data protection rules including data sharing filtering and fencing at storage compute and consumption layers. </p><p> - Design data protection solutions at database table column level and APIs based on enterprise standard data security privacy architecture principles and reference architectures. </p><p> - Design the structure and layout of data systems including databases warehouses and lakes Select and implement database management systems that meet the organization's needs by defining data schemas optimizing data storage and establishing data access controls and security measures </p><p> - Deliver exceptional business value by enhancing data pipeline performance ensuring timely orchestration and upholding data governance. </p><p><br></p><p><br></p><p><br></p><p><br></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>We’re looking for an innovative AI Designer in North Carolina to help shape intuitive, human-centered experiences powered by artificial intelligence. This role bridges creative design thinking with emerging AI technologies, crafting tools, interfaces, and interactions that feel seamless, ethical, and intelligent.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design user experiences that integrate AI capabilities such as personalization, generative content, and automation.</li><li>Collaborate with product managers, engineers, and data scientists to define how AI enhances user journeys.</li><li>Create wireframes, prototypes, and interaction models that illustrate AI behavior, responses, and feedback loops.</li><li>Translate complex AI concepts into clear, usable design solutions.</li><li>Conduct user research and usability testing to ensure AI-driven features meet user needs and maintain trust.</li><li>Contribute to design systems and frameworks that account for AI interaction patterns.</li><li>Stay informed on emerging AI design best practices, ethics, and technologies (e.g., conversational interfaces, generative tools, adaptive UX).</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 detail-oriented and proactive Data Analyst/Fraud Specialist. You will partner with the Fraud team and help protect both our business and our customers. You will blend deep analytical skills with strategic thinking to monitor, investigate, and mitigate fraud risks and keep false positives to a minimum. </p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Monitor and analyze fraud KPIs. Define, track, and report on fraud metrics—including block vs. false positive rates, incoming fraud pressure, recall, fraud‑to‑sales ratio, and good user approval rate. Use these indicators to identify trends and gaps, fine‑tune rules, and measure false‑positive impacts.</li><li>Validate false positives. Perform manual reviews for flagged trials and purchases, verifying legitimate customers are not incorrectly declined. Work with internal stakeholders to reinstate valid users and gather feedback on user experience.</li><li>Design and refine controls. Test and adjust fraud detection rules, scoring models and machine‑learning algorithms to mitigate risk without overblocking. Ensure models maintain high precision and recall while keeping false positives low.</li><li>Lead incident response<strong>.</strong> Coordinate investigations of fraud alerts and chargebacks, ensuring timely resolution and communication with affected stakeholders. Document root causes and adjust processes to prevent future incidents.</li><li>Cross‑functional collaboration<strong>.</strong> Partner closely with Product, Marketing, Engineering, Data Science, Legal, Finance and Customer Support teams to integrate fraud controls into product flows, billing systems and compliance processes.</li><li>Act as the primary point of contact and subject matter expert for all fraud-related matters within the organization.</li></ul><p><br></p>
We are looking for a skilled Data Engineer to join our team in Ann Arbor, Michigan, and contribute to the development of a modern, scalable data platform. In this role, you will focus on building efficient data pipelines, ensuring data quality, and enabling seamless integration across systems to support business analytics and decision-making. This position offers an exciting opportunity to work with cutting-edge technologies and play a key role in the transformation of our data environment.<br><br>Responsibilities:<br>• Design and implement robust data pipelines on Azure using tools such as Databricks, Spark, Delta Lake, and Airflow.<br>• Develop workflows to ingest and integrate data from diverse sources into Azure Data Lake.<br>• Build and maintain data transformation layers following the medallion architecture principles.<br>• Apply data quality checks, validation processes, and deduplication techniques to ensure accuracy and reliability.<br>• Create reusable and parameterized notebooks to streamline batch and streaming data processes.<br>• Optimize merge and update logic in Delta Lake by leveraging efficient partitioning strategies.<br>• Collaborate with business and application teams to understand and fulfill data integration requirements.<br>• Enable downstream integrations with APIs, Power BI dashboards, and reporting systems.<br>• Establish monitoring, logging, and data lineage tracking using tools like Unity Catalog and Azure Monitor.<br>• Participate in code reviews, agile development practices, and team design discussions.
We are looking for an experienced Senior Data Engineer to join our team in Glendale, California. In this long-term contract position, you will play a critical role in ensuring secure and efficient data management across enterprise systems, leveraging cutting-edge tools and methodologies. The ideal candidate will bring expertise in data governance, security, and engineering to support large-scale enterprise environments.<br><br>Responsibilities:<br>• Implement and manage data access governance solutions using tools such as Immuta, SecuPi, or similar technologies.<br>• Develop and maintain data lineage, cataloging, and classification systems with tools like Alation or BigID.<br>• Collaborate with stakeholders to ensure compliance with data security policies and standards.<br>• Design and optimize secure data pipelines and workflows in enterprise environments.<br>• Apply agile and scrum methodologies to manage projects effectively and enhance team collaboration.<br>• Monitor and troubleshoot data systems to ensure optimal performance and security.<br>• Provide expertise in Snowflake configuration and management, ensuring secure data access and storage.<br>• Conduct audits and assessments to identify and mitigate data security risks.<br>• Work closely with cross-functional teams to implement best practices in data governance and engineering.<br>• Stay updated on industry trends and emerging technologies to continuously improve data security strategies.
