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
<p>Are you a data-driven professional passionate about turning raw data into actionable insights? We are seeking a <strong>Data Scientist</strong> to join our team in <strong>Phoenix, AZ</strong>. In this role, you will apply your analytical expertise and machine learning knowledge to solve complex business challenges, drive innovation, and deliver data-backed results.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze and interpret complex datasets to identify trends, patterns, and insights that support decision-making </li><li>Design and implement predictive models and machine learning algorithms to optimize processes and improve business performance.</li><li>Collaborate with cross-functional teams, including data analysts, engineers, and business leaders, to identify and solve key business problems.</li><li>Develop and maintain databases, data pipelines, and ETL processes.</li><li>Visualize data findings through dashboards and reports to effectively communicate insights to both technical and non-technical stakeholders.</li><li>Ensure data quality, accuracy, and privacy standards are met in compliance with company and regulatory standards.</li><li>Stay current with emerging technologies, tools, and best practices in data science and machine learning.</li></ul><p><br></p>
We are looking for a highly skilled and motivated Senior Data Scientist to join our Enterprise Analytics team on a contract basis in Columbus, Ohio. In this role, you will leverage advanced data science techniques to uncover opportunities for improving customer experiences and driving business growth. You will work closely with cross-functional teams, including marketing, product, finance, and senior leadership, to deliver actionable insights and performance analytics. This position offers a unique chance to influence strategic decision-making and contribute to high-visibility projects.<br><br>Responsibilities:<br>• Analyze customer, product, channel, and digital data to identify opportunities for enhancing consumer experiences and delivering customer value.<br>• Develop and implement data-driven models and experiments to answer complex business questions.<br>• Conduct research on emerging techniques in machine learning, artificial intelligence, and advanced analytics.<br>• Create intuitive data visualizations and compelling data stories to communicate insights to diverse stakeholders.<br>• Collaborate with teams across the organization to align analytics efforts with business objectives.<br>• Deliver actionable recommendations to product teams and senior leadership based on data analysis.<br>• Partner with Agile development teams to support projects throughout their lifecycle, from ideation to implementation.<br>• Ensure the quality and accuracy of data used in analyses and models.<br>• Stay updated on the latest tools and methodologies in data science and analytics to enhance team capabilities.
<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 looking for an innovative AI Engineer to join our team. In this role, you will design and implement AI-driven solutions that address operational challenges and enhance efficiency across various departments. This position requires close collaboration with cross-functional teams to develop scalable, secure, and impactful AI systems that align with business needs.</p><p><br></p><p>Responsibilities:</p><p>• Develop and deploy AI models to optimize workflows in manufacturing, sales, marketing, human resources, and other business functions.</p><p>• Design and refine intelligent systems and prompts to enhance customer interactions, employee support, and operational processes.</p><p>• Collaborate with different business units to identify AI opportunities and deliver tailored solutions that address their specific needs.</p><p>• Integrate structured and unstructured data into AI models to provide actionable insights and improve decision-making.</p><p>• Evaluate and utilize approved AI tools, frameworks, and databases to meet business objectives effectively.</p><p>• Share knowledge and best practices for AI tools and workflows with colleagues to support informal learning and skill development.</p><p>• Document AI workflows, model architectures, and processes to ensure transparency and facilitate knowledge sharing within the organization.</p><p>• Stay updated on emerging AI technologies and techniques to continuously enhance the effectiveness of deployed solutions.</p><p>• Provide technical input on the adoption of tools and platforms while ensuring their alignment with organizational goals.</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>We are looking for a highly motivated Director to oversee and advance our Cyberinfrastructure (CI) initiatives in Northern, Virginia. This role will require a strategic thinker with a strong technical background to lead a dynamic team and drive innovative solutions in networking, computing, storage, cybersecurity, and software. The ideal candidate will play a pivotal role in shaping CI strategies, fostering collaboration, and enhancing research and education capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Develop and execute comprehensive strategies to align Cyberinfrastructure operations with organizational goals.</p><p>• Build and maintain collaborative relationships with IT staff to effectively assess and address CI needs.</p><p>• Research, identify, and implement emerging technologies to strengthen CI support for research and education.</p><p>• Coordinate with regional networks and stakeholders to improve CI-enabled research initiatives.</p><p>• Prepare proposals and oversee the management of federally funded CI projects to ensure their success.</p><p>• Lead, mentor, and supervise the Cyberinfrastructure team, fostering growth and accountability.</p>
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 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 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.
<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 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>Overview</strong></p><p> The Data Engineer is responsible for building and maintaining the data infrastructure that powers analytics, reporting, and data-driven decision-making across the organization. This role requires hands-on experience with data modeling, ETL/ELT development, and modern cloud data platforms. The ideal candidate is skilled at transforming raw data into clean, reliable datasets and optimizing data pipelines for performance and scalability.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and maintain <strong>data pipelines</strong> and <strong>ETL/ELT workflows</strong> that move and transform data from various sources into centralized data warehouses or data lakes.</li><li>Develop and manage <strong>data models</strong>, schemas, and metadata to ensure consistency, scalability, and performance.</li><li>Work with large, complex datasets using tools like <strong>SQL, Python, and Spark</strong> to automate data ingestion and transformation.</li><li>Collaborate with analysts, data scientists, and business stakeholders to understand data needs and support analytical initiatives.</li><li>Implement and maintain <strong>data quality, governance, and validation processes</strong> to ensure accuracy and reliability.</li><li>Optimize data pipeline performance and cost across cloud environments such as <strong>AWS, Azure, or Google Cloud</strong>.</li><li>Support <strong>data warehouse development</strong> using platforms such as <strong>Snowflake, Redshift, BigQuery, or Synapse</strong>.</li><li>Troubleshoot and resolve data issues in production environments, ensuring minimal downtime and data integrity.</li><li>Maintain documentation for data pipelines, system architecture, and transformation logic.</li><li>Stay current with emerging data engineering technologies and recommend improvements to architecture and process design.</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>
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.
<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>
<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><br></p>
<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>
<p>An innovative <strong>biotech research firm in Carlsbad</strong> is hiring an <strong>Accounts Payable Specialist</strong> to manage day-to-day payables and expense operations. This role supports the finance team in ensuring accurate and timely payments to vendors while maintaining compliance with company policies and regulatory standards. The company fosters a collaborative, mission-driven environment dedicated to scientific excellence and discovery. Their ideal candidate is analytical, organized, and experienced in AP automation systems within a corporate accounting environment.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Process invoices, purchase orders, and payment requests in a paperless AP system.</li><li>Verify coding, approvals, and budget allocations.</li><li>Manage corporate credit card reconciliations and employee expense reports.</li><li>Assist in month-end accruals and general ledger reconciliation.</li><li>Maintain vendor database and ensure compliance with 1099 reporting.</li><li>Support external audits and implement process improvements.</li><li>Collaborate with procurement and lab teams for PO discrepancies.</li></ul>
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.
<p><strong>Data Engineer (Python / CRM)</strong></p><p><strong>Location:</strong> Hybrid (3 days on-site in Encino, CA)</p><p><strong>Compensation:</strong> Up to $170K DOE</p><p>We are seeking a <strong>Data Engineer</strong> with strong experience in <strong>Python</strong> and <strong>CRM systems </strong>to support data integration and pipeline development across business domains. This role will focus on modernizing data architecture and optimizing end-to-end data flows using <strong>Azure technologies</strong>.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable <strong>data pipelines</strong> supporting CRM and related business applications.</li><li>Develop integrations and ETL workflows using <strong>Databricks, Azure Data Factory, Synapse, and ADLS Gen2</strong>.</li><li>Ensure data quality, reliability, and performance across data environments.</li><li>Collaborate with cross-functional teams in Marketing, Finance, and IT to deliver scalable, data-driven solutions.</li><li>Document and optimize data processes while supporting analytics and reporting initiatives.</li></ul><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Today</p>
<p><strong>Overview</strong></p><p> The Data Analyst will transform complex datasets into actionable business insights that drive strategic decision-making across departments. This role requires strong analytical skills, business acumen, and the ability to communicate findings clearly to both technical and non-technical audiences. The ideal candidate is comfortable working with large datasets, automating reporting, and collaborating cross-functionally to solve business problems.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and analyze data from multiple internal and external sources to support business operations and strategic initiatives.</li><li>Build, maintain, and optimize dashboards and reports in <strong>Power BI, Tableau, or Looker</strong> to visualize performance metrics and KPIs.</li><li>Perform data validation, quality checks, and root-cause analysis to ensure data accuracy and reliability.</li><li>Collaborate with business stakeholders to translate requirements into analytical deliverables and clear data-driven recommendations.</li><li>Develop and maintain SQL queries, scripts, and stored procedures for recurring and ad-hoc analysis.</li><li>Identify trends, patterns, and correlations within datasets to support forecasting and performance improvement initiatives.</li><li>Work closely with data engineering and IT teams to enhance data pipelines and ensure efficient data availability.</li><li>Present analytical findings through clear visualizations, executive summaries, and presentations tailored to business leaders.</li><li>Support automation of reporting processes to reduce manual effort and improve consistency.</li></ul><p><br></p>
<p>We are in search of a skilled Patent Agent to become a part of our team. The role will be based in our San Francisco office, and will involve working with a range of patent prosecution activities within the biotech and pharmaceutical industries. </p><p><br></p><p>Responsibilities</p><p><br></p><p>• Handle patent prosecution tasks with a focus on maintaining accurate records and processing applications</p><p>• Utilize technical knowledge in cellular biology, molecular biology, biochemistry, genetics, immunology, virology, chemistry, organic chemistry, and pharmacy to enhance job functions</p><p>• Conduct detailed prior art searches for patentability and freedom to operate analyses</p><p>• Analyze patents and scientific papers to support patent preparation, prosecution, and counseling </p><p>• Ensure excellent written and verbal communication in English during all interactions</p><p>• Monitor customer accounts and take appropriate action when necessary</p><p>• Maintain a broad technical knowledge to aid in job functions</p><p>• Maintain a focus on customer inquiries, resolving them efficiently and effectively</p><p>• Ensure all customer credit applications are processed accurately and efficiently</p><p>• Uphold a high standard of service, maintaining accurate customer credit records.</p>
