We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem.<br><br>Responsibilities:<br>• Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance.<br>• Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting.<br>• Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets.<br>• Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework.<br>• Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs.<br>• Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs.<br>• Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability.<br>• Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
We are looking for a detail-oriented Trade Support Analyst to join a Contract opportunity in Newark, Delaware. This position supports confidentiality agreement review, negotiation coordination, and controlled distribution of sensitive credit information for secondary trading activity. The role works closely with legal, sales, trading, compliance, and research partners, making strong organization, communication, and multitasking skills essential. This is a fully onsite position suited for someone who can manage competing priorities with accuracy and sound judgment.<br><br>Responsibilities:<br>• Coordinate the drafting, review, and execution of confidentiality agreements with external counterparties involved in loan and claims trading activity.<br>• Partner with legal, sales, and trading stakeholders to track agreement progress, resolve open items, and support negotiation follow-up.<br>• Respond to internal and external questions regarding document status, required terms, and next steps in the agreement lifecycle.<br>• Prepare and organize materials for approved client distribution in accordance with executed agreements and internal control standards.<br>• Maintain and update virtual data rooms, including document posting, access management, and due diligence support.<br>• Review sensitive information before release to confirm alignment with internal information barriers and confidentiality requirements.<br>• Work with compliance, legal, research, and trading teams to escalate issues and ensure proper handling of restricted information.<br>• Manage multiple time-sensitive tasks simultaneously while maintaining accurate records and high attention to detail.
<p><strong>Data Scientist III </strong>(Supply Chain Optimization & Forecasting)</p><p>Long Term Contract</p><p>Hybrid Philadelphia, PA</p><p>Pay: Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Data Scientist III</strong> to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.</p><p>This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.</p><p><strong>Key Responsibilities</strong></p><p>Forecasting & Data Science</p><ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul><p>Inventory Optimization & MEIO</p><ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul><p>Optimization Engineering</p><ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul><p>Data Engineering & Operationalization</p><ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
<p>We are looking for an experienced Senior Compensation Analyst to join a long-term contract opportunity supporting compensation strategy within the IT software industry. This role is fully remote, and will focus on evaluating pay practices, strengthening compensation programs, and providing data-driven guidance to HR and business leaders. The ideal candidate brings strong analytical ability, market pricing expertise, and a solid understanding of compensation compliance and internal equity. The selected candidate must be located in the Central or Eastern time zones. Experience in the technology or software industries is preferred.</p><p><br></p><p>Responsibilities:</p><p>• Conduct compensation benchmarking studies by interpreting market survey data and assessing how pay levels compare with external market conditions.</p><p>• Advise HR partners and business stakeholders on pay decisions related to hiring, advancement, internal movement, and employee retention needs.</p><p>• Contribute to the development and ongoing administration of compensation programs, including salary structures, annual review processes, incentive plans, and equity-based rewards.</p><p>• Review internal compensation data to identify pay equity concerns and recommend practical adjustments that support consistent and fair pay practices.</p><p>• Maintain and refine compensation frameworks such as job families, career levels, and salary grade structures to improve organizational alignment.</p><p>• Build financial models and cost projections to assess compensation scenarios and support workforce planning decisions.</p><p>• Create reports, dashboards, and executive-ready presentations that summarize compensation trends, insights, and recommendations.</p><p>• Monitor compliance with applicable compensation laws and regulations, including pay transparency requirements at the federal, state, and local levels.</p><p>• Partner with Talent Acquisition to shape competitive employment offers that balance market competitiveness with internal equity.</p><p>• Participate in compensation surveys and collaborate with external vendors or consultants while tracking technology industry trends that may influence pay strategy.</p>
We are looking for an experienced AI Business Analyst/Consultant to lead data science, analytics, and product insight initiatives for a growing organization in Edison, New Jersey. This Long-term Contract position will shape how data, experimentation, and AI are used to guide product strategy, improve decision-making, and deliver measurable business value. The role works closely with cross-functional leaders to turn complex information into practical recommendations while advancing scalable analytics capabilities across the business.<br><br>Responsibilities:<br>• Direct and strengthen a team of data science and product analytics professionals, encouraging high standards, collaboration, and ongoing development.<br>• Establish the vision and execution plan for analytics and data science initiatives so product and business decisions are supported by reliable insights.<br>• Act as the product lead for the data platform by setting priorities, refining requirements, and guiding roadmap delivery.<br>• Drive the broader AI and analytics roadmap, including initiatives that support customer-facing intelligence and data-enabled product enhancements.<br>• Oversee the lifecycle of machine learning and analytical solutions, from design and deployment through performance tracking and continuous optimization.<br>• Guide the product analytics environment, including Amplitude, to create scalable measurement approaches and deliver actionable reporting.<br>• Promote disciplined experimentation and evidence-based decision-making by introducing strong analytics practices and performance frameworks.<br>• Define and monitor key product and divisional metrics to ensure outcomes remain aligned with strategic business objectives.<br>• Partner with stakeholders across product, design, engineering, marketing, and leadership teams to translate data findings into growth-focused actions.<br>• Evaluate emerging AI technologies and modern tools such as Databricks, Python, and Azure-based solutions to expand organizational analytics capability.
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.