We are looking for a skilled Data Scientist to join our team in Allentown, Pennsylvania, on a long-term contract basis. In this role, you will play a pivotal part in leveraging analytics to drive strategic initiatives, with a focus on predictive modeling and customer retention analysis. This position offers an exciting opportunity to work with a dynamic team and contribute to impactful projects within the healthcare industry.<br><br>Responsibilities:<br>• Design and deploy advanced machine learning models, including deep learning techniques when applicable.<br>• Lead the development and implementation of churn models to identify and address customer retention challenges.<br>• Analyze extensive datasets using R or Python to generate meaningful insights and solutions.<br>• Collaborate with analytics leaders and business stakeholders to define and execute data-driven strategies.<br>• Evaluate trends in physician practices and patient behaviors to support organizational goals.<br>• Work closely with engineers, analysts, and other data scientists to scale successful pilot projects into full implementations.<br>• Deliver actionable insights and recommendations to inform decisions by finance and operational teams.
<p>We are looking for an experienced Data Scientist to join our team in Glendale, CA, on a long-term contract basis. This role is ideal for a detail-oriented individual with a deep understanding of data science principles, machine learning methodologies, and statistical analysis, who thrives in a dynamic and collaborative environment. If you are skilled in leveraging advanced tools and technologies to drive data-driven insights, we invite you to apply.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement machine learning models to solve complex business challenges and optimize decision-making processes.</p><p>• Analyze large datasets using statistical methods and mathematical modeling to uncover patterns and actionable insights.</p><p>• Utilize programming languages such as Python, R, or Scala to design, test, and deploy data science solutions.</p><p>• Collaborate with cross-functional teams to identify opportunities for applying data science techniques to improve operations.</p><p>• Lead the preparation and cleaning of datasets to ensure accuracy and reliability for analysis and modeling.</p><p>• Apply expert knowledge of libraries like scikit-learn, numpy, and pandas to enhance machine learning workflows.</p><p>• Manage and optimize cloud database solutions, including Snowflake, Databricks, and BigQuery, to support scalable data processing.</p><p>• Research and stay updated on emerging trends in artificial intelligence and machine learning to integrate best practices.</p><p>• Provide mentorship and guidance to less experienced team members in the application of data science techniques.</p><p>• Present findings and recommendations to stakeholders through clear and compelling data visualizations.</p>
<p>Job Description: Technical Analyst – Data Science</p><p><br></p><p>We are seeking a highly analytical and technically skilled Technical Analyst – Data Science to support business needs through data analysis, solution development, and collaboration with cross-functional teams. This role blends technical expertise with business acumen to deliver impactful insights and scalable data solutions.</p><p>WKey Responsibilities:</p><ul><li>Analyze business processes and translate requirements into technical specifications</li><li>Design and develop scripts, APIs, and automation tools for advanced analytics</li><li>Build and maintain data pipelines to support data science initiatives</li><li>Collaborate with stakeholders and data scientists to define problems and implement solutions</li><li>Develop reports and visualizations to communicate insights and metrics</li><li>Ensure data quality and reliability across analytics workflows</li><li>Support Agile development processes including sprint planning and UAT</li><li>Document technical approaches and contribute to team knowledge sharing</li><li>Apply geospatial analysis techniques to support location-based decision-making</li></ul>
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>Job Title: Data Scientist (with Data Engineering Expertise)</p><p>Location: Atlanta GA</p><p>Hybrid 3 days onsite</p><p><br></p><p>Overview</p><p>We are looking for a highly motivated and skilled Data Scientist who also brings strong Data Engineering capabilities. This is a hybrid role with a primary focus on data science—developing advanced analytics and predictive solutions—while also requiring flexibility to support data engineering efforts and responsibilities when needed (you will be deeply analytical, technically proficient, and capable of leveraging tools like Databricks, SQL, ETL pipelines, PySpark, and Python as well).</p><p>In this position, you’ll have end-to-end ownership of identifying and understanding data-driven business opportunities and translating them into actionable, predictive, and scalable analytics solutions. You’ll take ownership of converting data into actionable insights that drive business value and support our customers' strategic goals.</p><p>You'll build data-driven applications that solve real-world business challenges and partner with both internal teams and customers to deliver high-impact outcomes. This is a strategic and hands-on role where curiosity, technical expertise, and a passion for creating value through data are essential. If you're passionate about solving complex business problems with data and enjoy working in a fast-paced, customer-focused environment, this role is for you.</p><p><br></p><p>Key Responsibilities</p><p>Data Science</p><ul><li>Partner with customers and internal stakeholders to identify business opportunities and deliver predictive, actionable solutions</li><li>Develop data-driven applications that solve real-world customer problems</li><li>Stay current with trends in machine learning and AI, and apply best-in-class tools, libraries, and technologies</li><li>Serve as a subject matter expert on generating insights from data and developing machine learning models</li><li>Design and build intuitive, interactive data visualizations to communicate findings</li><li>Lead pilot projects with customers, measure business value and impact</li><li>Transition successful pilots into production-ready commercial applications</li><li>Collaborate with platform architects to ensure designs align with security and architecture best practices</li><li>Review code and solutions before deployment to ensure quality and performance</li><li>Work with and oversee contractors to deliver high-quality outcomes</li></ul><p>Data Engineering</p><ul><li>Design and develop high-performance data ingestion pipelines using Azure Databricks and Azure Data Factory</li><li>Work with event-based streaming technologies to process real-time data</li><li>Architect and implement scalable Data Lakehouse solutions</li><li>Support development and delivery of related components such as APIs and search functionality</li><li>Evaluate and select tools based on technical performance and customer requirements</li><li>Operate within Agile and DevOps frameworks to deliver iteratively from proof-of-concept to production</li><li>Ensure all engineering solutions meet security and enterprise architecture standards</li><li>Perform thorough code reviews to maintain high-quality standards</li></ul>
<p>Join a growing Enterprise Data & Analytics team as a Lead Data Scientist, driving innovation and transformation in how data is leveraged across the organization. This role is pivotal in shaping the future of banking through advanced analytics, machine learning, and AI.</p><p>Key Responsibilities:</p><ul><li>Lead and prioritize data science initiatives aligned with business goals</li><li>Develop and deploy predictive models and scalable data pipelines</li><li>Mentor and grow a team of data scientists</li><li>Collaborate with stakeholders to translate business needs into data-driven solutions</li><li>Stay ahead of emerging technologies and industry trends</li></ul><p><br></p>
<p>Role Summary:</p><p>We are seeking a highly skilled Data Scientist to lead the development of advanced analytics solutions focused on Marketing Mix Modeling (MMM), ETL pipeline automation, and cloud-native data engineering. This role will support strategic decision-making across marketing, finance, and operations by delivering scalable insights using Azure, Databricks, and Python.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design and implement ETL pipelines using Azure Data Factory and Databricks for large-scale data ingestion and transformation.</li><li>Build and maintain MMM models to evaluate marketing ROI across channels (digital, TV, print, etc.).</li><li>Collaborate with cross-functional teams to translate business needs into data science solutions.</li><li>Develop and deploy machine learning models in production environments using Azure ML and Databricks.</li><li>Ensure data quality, governance, and compliance with internal and external standards.</li><li>Visualize insights using Power BI or similar tools for executive-level reporting.</li></ul>
<p><strong>Job Description:</strong></p><p>We are seeking a highly skilled <strong>Credit Risk Data Scientist</strong> to design, build, and deploy machine learning models that drive credit decisions for short-term lending products such as tax refund advances, BNPL, and installment loans. You will collaborate with product, risk, and engineering teams to ensure models align with business goals, deliver actionable insights, and meet regulatory standards.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, evaluate, and defend machine learning models to predict credit risk.</li><li>Build efficient and reusable data pipelines for:</li><li>Feature generation</li><li>Model development</li><li>Scoring and reporting</li><li>Work hands-on with Python and SQL using cloud-based ML infrastructure (e.g., CK ML/AI tools).</li><li>Deploy models in a production environment with engineering support.</li><li>Collaborate with business stakeholders to implement model-driven lending policies.</li><li>Apply model performance metrics (AUC, KS, Gini) and monitor model stability (PSI, CSI).</li><li>Ensure models meet fairness, interpretability, and compliance standards (FCRA, ECOA, etc.).</li></ul><p><br></p>
<p>We are seeking an AI Implementer to help deploy and integrate artificial intelligence solutions across our client’s operations. This role involves working closely with stakeholders to identify automation opportunities, implement machine learning models, and support AI-driven process improvements.</p><p><strong>Responsibilities:</strong></p><ul><li>Collaborate with business units to identify use cases for AI implementation</li><li>Support deployment of machine learning models and natural language processing tools</li><li>Integrate AI solutions with existing IT infrastructure and business systems</li><li>Evaluate AI platforms and tools for scalability and effectiveness</li><li>Monitor AI system performance and ensure ethical, secure use of data</li></ul><p><br></p>
We are looking for a highly skilled Senior Machine Learning Engineer to join our team in King of Prussia, Pennsylvania. In this role, you will design and implement cutting-edge machine learning models and leverage your expertise to address complex data challenges. This position offers an exciting opportunity to work with advanced technologies and contribute to innovative solutions that drive business success.<br><br>Responsibilities:<br>• Develop and deploy machine learning models capable of generalizing across various use cases with minimal retraining.<br>• Apply techniques such as classification, clustering, regression, and ranking to solve critical business problems and uncover actionable insights.<br>• Prepare and analyze diverse datasets, ensuring proper data collection, cleaning, and modeling processes.<br>• Conduct feature engineering, selection, and rigorous testing of machine learning experiments to optimize model performance.<br>• Perform statistical analyses to refine model accuracy and validate test results.<br>• Continuously train and retrain models to improve their predictive capabilities over time.<br>• Enhance the precision and reliability of existing machine learning systems.<br>• Explore and implement new business applications for machine learning to maximize impact.<br>• Stay updated on emerging trends in the field and collaborate with the team to integrate innovative approaches.<br>• Recommend and execute improvements to the existing machine learning engineering infrastructure.
<p><strong>Description:</strong></p><p>We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.</p><p><br></p><p> <strong>Essential Functions:</strong></p><ul><li>Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R& D knowledge mining, regulatory intelligence, and medical information services.</li><li>Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).</li><li>Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).</li><li>Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.</li><li>Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.</li><li>Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.</li><li>Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.</li></ul><p><br></p>
<p>Our team is continuing to grow our Data Governance and Quality program to meet current and future business needs. The Data Governance and quality team is seeking a data analyst/developer to work in the Enterprise Data Governance team to gather analyze and document datasets to help build artifacts for the Data User Community. Work under the guidance of the Data Catalog Program lead to perform tasks that will enable the further development of the Data Catalog.</p><p><br></p><p> This assignment will require the candidate to work seamlessly with members of the Data Governance Quality organization and our business partners.</p><p> - Documenting business glossary terms and definitions for master data elements.</p><p> - Opportunity to develop Data Governance dashboards and visualizations. </p><p> - Support project deliverables to further support Data catalog MDM</p><p><br></p><p> Role Development</p><p> - Builds data governance and quality competency where applicable for the entire enterprise. </p><p> - Supports Data Governance collaboration and alignment with master data data analytics and other DT process teams. RTX and within the Data Platforms organization. </p><p> - Exposure to multiple business units Avionics Mission Systems Information management systems and shared serves in multiple values streams such as Strategic Financial Planning Pursuit to Order Capture Design Development Produce to Deliver and Service Support.</p>
<p>We are looking for a detail-oriented Sr. Data Entry Specialist to join our team on a contract basis in Albany, New York. This role focuses on managing and analyzing maintenance schedule data for various equipment and assets, ensuring accuracy and compliance with industry standards. The ideal candidate will have strong analytical skills and a commitment to maintaining data integrity while working closely with technical and quality teams.</p><p><br></p><p>Responsibilities:</p><p>• Review and interpret technical documentation and equipment manuals to extract relevant maintenance schedules and procedures.</p><p>• Accurately input maintenance procedures and intervals into designated systems with precision.</p><p>• Analyze maintenance and inspection data to identify trends, discrepancies, and areas for improvement.</p><p>• Collaborate with cross-functional teams to ensure data accuracy and alignment with operational needs.</p><p>• Develop and maintain dashboards and reports for real-time data insights.</p><p>• Ensure confidentiality and integrity of sensitive and proprietary information.</p><p>• Recommend process improvements to enhance efficiency and close performance gaps.</p><p>• Support predictive analytics initiatives to forecast equipment reliability and maintenance needs.</p><p>• Present findings and actionable insights to leadership through clear visualizations and reports.</p><p>• Maintain meticulous documentation and records to support compliance and operational standards.</p>
We are looking for an experienced Data & Analytics Consultant to join our team on a long-term contract basis in Glen Allen, Virginia. In this senior-level role, you will collaborate closely with business leaders to provide strategic insights, develop advanced analytics solutions, and guide decision-making processes. This is an opportunity to leverage your expertise in data analytics across descriptive, diagnostic, predictive, and prescriptive approaches to drive impactful business outcomes.<br><br>Responsibilities:<br>• Partner with senior business leaders to understand strategic goals and identify analytical methods to demonstrate the value of proposed solutions.<br>• Develop and deliver in-depth statistical analyses to provide actionable insights for leadership teams.<br>• Mentor and provide technical guidance to less experienced analysts, ensuring quality and accuracy in modeling and advanced analytics.<br>• Create and implement management-information solutions, including dashboards, reports, and visualizations using tools like Power BI and Tableau.<br>• Design predictive models and prescriptive analytics to support scenario planning and inform critical business decisions.<br>• Collaborate with technical teams to transition recurring analytical solutions into production environments.<br>• Conduct complex descriptive and diagnostic analyses to address business challenges and present findings effectively.<br>• Lead training initiatives to enhance organizational data and analytical capabilities while mentoring team members.<br>• Ensure compliance with data governance policies when documenting, testing, and maintaining analytical models.
<p>We are seeking an <strong>Operations Data Engineer</strong> to support real-time logistics and operational data needs. This role involves writing optimized SQL, integrating data across systems, and building dashboards that help operations and dispatch teams make fast, informed decisions.</p>
We are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.<br><br>Responsibilities:<br>• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.<br>• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.<br>• Build supervised and unsupervised learning models tailored to production environments.<br>• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.<br>• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.<br>• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.<br>• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.<br>• Conduct testing and validation of models to ensure reliability in real-world applications.<br>• Utilize Python for scripting and automation tasks related to data processing and model deployment.<br>• Participate in quarterly onsite meetings to align with project goals and team objectives.
<p>We’re looking for an innovative <strong>AI Designer</strong> to join our growing team. In this role, you’ll combine creativity, design expertise, and AI technology to develop intelligent, user-centered solutions. You’ll collaborate with cross-functional teams to design digital experiences that leverage AI for personalization, automation, and smarter user interactions.</p><p><strong>Responsibilities:</strong></p><ul><li>Design and prototype AI-driven user experiences, interfaces, and workflows</li><li>Collaborate with product, engineering, and data teams to bring concepts to life</li><li>Translate complex AI capabilities into intuitive, human-centered designs</li><li>Stay current on AI trends, tools, and best practices to inspire new ideas</li><li>Conduct user research and usability testing to optimize AI-powered solutions</li></ul><p><br></p>
We are looking for an experienced Sage Consultant to join our team in The Woodlands, Texas. This Contract-to-permanent position offers an exciting opportunity to apply your expertise in ERP integration and business application programming to drive operational improvements. The ideal candidate will possess strong technical knowledge and the ability to collaborate effectively with cross-functional teams.<br><br>Responsibilities:<br>• Lead the integration of Sage 100 with other ERP systems to optimize business operations.<br>• Analyze and document business requirements to support system enhancements and configurations.<br>• Collaborate with stakeholders to implement change management strategies that ensure smooth transitions.<br>• Develop and maintain Advanced Business Application Programming (ABAP) solutions to meet organizational needs.<br>• Provide technical guidance and troubleshooting for Epicor and Oracle NetSuite technologies.<br>• Facilitate training sessions to enhance user adoption of new systems and processes.<br>• Perform system audits to identify and address potential inefficiencies.<br>• Monitor and report on project progress, ensuring timely delivery of milestones.<br>• Maintain clear and consistent communication with both technical and non-technical teams.<br>• Advocate for best practices in ERP system management and integration.
<p>We’re seeking a <strong>Microsoft 365 & Generative AI Solutions Engineer</strong> with expertise in Microsoft Copilot, Copilot Studio, and the Power Platform. This role will play a key part in driving productivity through generative AI solutions, supporting enterprise M365 environments, and helping shape governance and compliance frameworks that enable citizen development at scale.</p><p>If you are passionate about leveraging AI to transform the modern workplace while bringing deep technical knowledge of Microsoft 365, this opportunity is for you.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and implement <strong>Generative AI solutions</strong> with Microsoft Copilot and Copilot Studio to enhance productivity.</li><li>Configure, administer, and support key <strong>M365 components</strong>, including:</li><li>Teams</li><li>SharePoint</li><li>Purview</li><li>Exchange</li><li>Viva Suite</li><li>Power Platform</li><li>Lead rollout and enablement of <strong>Power Platform capabilities</strong>, driving adoption across the business.</li><li>Define and maintain <strong>governance and compliance frameworks</strong> to support secure, scalable growth of citizen development.</li><li>Develop and automate solutions with <strong>PowerShell scripting</strong> and <strong>Microsoft Graph API</strong>.</li><li>Support business intelligence needs with <strong>Power BI report development</strong>.</li><li>Collaborate with cross-functional teams and end users, providing enablement, training, and technical expertise.</li><li>Participate in a <strong>rotating support schedule</strong>, including nights and weekends every few weeks.</li></ul><p><br></p><p><br></p>
