<p>Robert Half is hiring for a unique position in the Columbia, SC area. This role will help bridge the gap between physical security and modern digital platforms. Apply today! </p><p><br></p><p>Evaluate emerging security technologies, including AI/ML, robotics, smart sensors, and IoT platforms.</p><p>Conduct technical assessments and feasibility studies for new hardware/software integrations.</p><p>Monitor market trends and technology developments to inform future architectural strategies.</p><p>Define and develop interfaces, protocols, and middleware for seamless connectivity between sensors, control systems, and enterprise platforms.</p><p>Conduct pilot deployments and field tests to validate system performance, scalability, and reliability.</p><p>Create and maintain comprehensive documentation, including system architectures and integration guides.</p><p>Work closely with IT to align hardware solutions with enterprise software platforms, APIs, and networking standards.</p><p>Partner with Product, R& D, and Field Operations teams to gather requirements, test solutions, and iterate on designs.</p><p>Interface with external vendors and technology partners to source best-in-class components.</p><p>Develop systems for real-time monitoring, diagnostics, and performance analysis of deployed technology.</p><p>Implement smart alerts, failover capabilities, and predictive maintenance features into hardware solutions.</p><p><br></p><p>Key Qualifications</p><p>Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field.</p><p>At least four years of experience in a technical engineering role focused on system integration, security technology, or IoT.</p><p>Strong grasp of embedded systems and serial communication protocols</p><p>Proficiency in industrial networking standards </p><p>Hands-on experience integrating sensors, microcontrollers, and edge computing devices in industrial or outdoor environments.</p><p>Proven experience with IoT platforms, automation technologies, or security robotics.</p><p>Proficient in scripting and programming languages such as Python, C/C++, and Node.js.</p><p>Exceptional cross-functional communication skills, capable of effectively presenting technical concepts to both engineering teams and business stakeholders.</p><p>Strong analytical, diagnostic, and system-level thinking skills, comfortable operating in environments that combine physical hardware, software integration, and cloud/networking technologies.</p>
We are looking for an experienced Senior Business Analyst to join our team in Plano, Texas. This role is ideal for someone with a strong background in product strategy, digital transformation, and FinTech who thrives on driving innovation and optimizing processes. You will play a key role in shaping business solutions, leveraging AI/ML technologies, and delivering measurable value through data-driven insights.<br><br>Responsibilities:<br>• Lead business analysis efforts for strategic digital transformation projects, ensuring alignment with organizational goals.<br>• Collaborate with cross-functional teams to define, refine, and implement product strategies.<br>• Create detailed business requirements, use cases, and functional specifications for AI/ML initiatives.<br>• Analyze complex workflows and processes to identify areas for improvement using data-driven approaches.<br>• Translate business needs into actionable technology solutions and recommendations.<br>• Act as a liaison between business stakeholders and technical teams to ensure successful project delivery.<br>• Monitor emerging industry trends in FinTech and technology to inform strategic decision-making.<br>• Support change management processes and ensure smooth adoption of new systems and tools.
<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>
We are looking for an experienced Content Strategist to partner with senior executives in creating impactful and dynamic content for a variety of platforms. This position requires a creative thinker who can translate complex concepts into clear and engaging narratives while maintaining the executive’s unique voice. As a long-term contract position, this role offers the opportunity to work closely with leadership teams and contribute to influential thought leadership initiatives.<br><br>Responsibilities:<br>• Develop and refine keynote speeches, presentations, and scripts for executive-level events and engagements.<br>• Craft compelling thought leadership articles, blogs, and social media posts tailored to the executive's brand.<br>• Collaborate with cross-functional teams, including PR, marketing, and product, to align content strategies with organizational goals.<br>• Manage a comprehensive content calendar that reflects executive priorities and strategic initiatives.<br>• Provide editorial support for internal communications, ensuring clarity and consistency in messaging.<br>• Assist with personal brand development and positioning on both domestic and international platforms.<br>• Research and simplify complex topics, particularly in the realms of B2B software and AI, for various audiences.<br>• Travel occasionally to support major events, including in-person rehearsals, as required.<br>• Monitor emerging trends and incorporate innovative strategies into content planning.
We are looking for a skilled Systems Administrator to oversee the installation, configuration, and maintenance of hardware and software systems. This role involves ensuring optimal performance, security, and reliability of the organization's IT infrastructure while adhering to established standards. The ideal candidate will have a proactive approach to technical research and innovation to enhance system capabilities.<br><br>Responsibilities:<br>• Manage and maintain the organization's Active Directory structure to ensure seamless user authentication and resource management.<br>• Configure, monitor, and troubleshoot Windows Server environments to ensure stability and security.<br>• Provide support and administration for systems running Windows 10, ensuring user productivity and system efficiency.<br>• Oversee the deployment, operation, and maintenance of Dell Technologies hardware to meet organizational needs.<br>• Administer Citrix technologies to facilitate secure and efficient remote access solutions.<br>• Implement and manage cloud-based services within Azure to optimize performance and scalability.<br>• Leverage artificial intelligence tools, including Copilot, to enhance system functionality and efficiency.<br>• Conduct regular system updates, patches, and backups to safeguard data and maintain compliance.<br>• Collaborate with teams to identify and address technical challenges, ensuring smooth system operations.<br>• Research and integrate new technologies to drive innovation and improve infrastructure capabilities.
<p><strong>Job Opportunity: Tax Accountant – Venture Capital</strong></p><p>A prominent early-stage venture capital firm investing in frontier technologies like blockchain and artificial intelligence is seeking a Tax Accountant to join its high-performing finance team. This is a unique opportunity to manage the full tax compliance lifecycle while gaining exposure to fund operations, audits, and strategic financial initiatives in a fast-paced, evolving environment.</p><p><br></p><p><strong>About the Firm</strong></p><p>Known for its deep technical expertise and commitment to supporting transformative founders, the firm operates at the intersection of innovation and investment. With a collaborative culture and forward-thinking mindset, the team is building the financial infrastructure to support the next generation of disruptive technologies.</p><p><br></p><p><strong>Role Overview</strong></p><p>As a Tax Accountant, you’ll work closely with senior leadership and external advisors to oversee tax compliance across multiple entities. You’ll also contribute to fund operations, audits, and strategic financial projects, helping shape the firm’s approach to a rapidly changing regulatory landscape.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Tax Compliance & Strategy</strong></p><ul><li>Manage tax compliance for funds, general partners, and the management company</li><li>Review tax returns, K-1s, and foreign filings prepared by external advisors</li><li>Validate estimated tax calculations and ensure timely payments</li><li>Conduct tax research and collaborate with advisors on strategic tax positioning</li><li>Serve as the primary liaison with tax advisors and independently verify recommendations</li><li>Respond to investor inquiries related to tax matters</li><li>Lead ad hoc tax research projects to support decision-making</li></ul><p><strong>Finance & Operations</strong></p><ul><li>Review financial reports and prepare quarterly NAV reports</li><li>Support annual financial statement preparation and audit processes</li><li>Monitor fund performance and update valuations</li><li>Participate in capital calls, distributions, and accounts payable</li><li>Address finance-related investor inquiries</li><li>Contribute to strategic financial analyses and special projects</li></ul><p><strong>Excited about this opportunity?</strong></p><p>Send your resume via LinkedIn to <strong>Jonathan Christian (JC) del Rosario </strong>— I’d love to connect and explore how this role could be the perfect next step in your career.</p>
<p>Reply here with your interest and you will be considered promptly. Ping me on LinkedIn too at Jeffrey Abrams</p><p><strong> </strong></p><p><strong>Company:</strong></p><p>Founded by pioneers in their field, my client is a privately-owned boutique investment manager that has specialized in the small and mid-cap equity market for 25+ years. With a substantial AUM across a diversified top-tier investor base, they have continued to achieve outsized returns and expanded strategically. Their team is seeking a project-minded candidate to join our internal finance and client support team. This is a high-visibility role ideal for someone looking to pursue a long-term career in asset management. </p><p><strong> </strong></p><p><strong>Responsibilities include: </strong></p><p>• RFP Process Management: </p><p> o Write, edit, and craft accurate and relevant responses to Request for Proposal (RFP) and Request for Information (RFI). </p><p> o Gather and analyze relevant data and answers from different financial software. </p><p> o Assist with data and other requests from internal and external stakeholders. </p><p> o Create and update factsheets, presentations, and commentaries </p><p> o Support our Sales team with ad-hoc marketing materials, product positioning materials and reporting </p><p>• Client Reporting & Analytics </p><p> o Maintain and update external performance reporting databases and client databases </p><p> o Analyze the necessary data and respond to data requests from clients or their advisors </p><p> o Collaborate cross-functionally with sales, investment, trading, and compliance teams on ad-hoc projects. </p><p><strong> </strong></p><p>Successful attributes for this role include strong writing, analytical, project management, collaboration, and communication skills, as well as an understanding of financial concepts and the ability to interpret documents. You will collaborate on a frequent basis with investment, sales, and compliance colleagues. </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>
<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>
We are looking for a skilled AI Program Manager to lead the strategic development, adoption, and implementation of artificial intelligence technologies within the City of Cleveland, Ohio. In this contract-to-permanent position, you will play a pivotal role in driving the responsible use of AI tools, including Microsoft Copilot, to enhance public services, streamline operations, and enable data-driven decision-making. This role involves close collaboration with city leadership, technical teams, and community stakeholders to ensure the ethical and effective integration of AI solutions.<br><br>Responsibilities:<br>• Develop and execute a comprehensive strategy for the citywide adoption of AI technologies, including governance frameworks and operational policies.<br>• Lead the rollout and implementation of Microsoft Copilot and other AI platforms across various city departments.<br>• Establish responsible AI guidelines to ensure compliance with ethical standards, legal requirements, and data privacy regulations.<br>• Conduct readiness assessments to evaluate systems, departmental capabilities, and workforce preparedness for AI integration.<br>• Create and maintain a citywide AI roadmap to track progress, milestones, and adoption rates.<br>• Design and deliver training programs to enhance AI literacy and equip employees with the skills to utilize AI tools effectively.<br>• Collaborate with cross-functional teams, including legal, cybersecurity, and public policy experts, to ensure AI solutions meet compliance and security standards.<br>• Drive organizational change management initiatives to encourage widespread adoption of AI-driven processes.<br>• Act as the primary liaison between technical teams, executive leadership, and the public, addressing concerns and communicating the value of AI initiatives.<br>• Engage with community stakeholders to build trust and awareness around the benefits of AI technologies.
<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>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>
<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>
<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>
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.
Job Summary: We are seeking a experienced Data Engineer with 8+ years of experience to architect, build, and maintain scalable data infrastructure and pipelines. This role is pivotal in enabling advanced analytics and data-driven decision-making across the organization. The ideal candidate will have deep expertise in data architecture, cloud platforms, and modern data engineering tools. <br> Key Responsibilities: Design, develop, and maintain scalable and efficient data pipelines and ETL processes. Architect data solutions that support business intelligence, machine learning, and operational reporting. Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business goals. Ensure data quality, integrity, and security across all systems and platforms. Optimize data workflows and troubleshoot performance issues. Integrate structured and unstructured data from various internal and external sources. Implement and enforce data governance policies and best practices. Preferred Skills: Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g., Git). Relevant certifications in cloud or data engineering technologies.
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>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>
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.
We are in search of a Data Warehouse Analyst to join our team in the retail industry, situated in Hillside, New Jersey. In this role, you'll leverage your technical skills to simplify complex analytical tasks into understandable data-driven narratives. Collaborating with other analysts, you'll apply established analytical processes to diverse datasets to deduce insights and solve real-world business problems. <br><br>Responsibilities: <br><br>• Collaborate with Operations, Product, and Finance teams to establish KPIs and innovative methodologies for measurement<br>• Develop, manage, and scale our labor planning process, providing accurate labor targets and forecasts in conjunction with the Talent Acquisition team<br>• Analyze and understand the drivers that impact key influences on business dynamics and productivity<br>• Transform data into actionable insights for stakeholders<br>• Automate the reporting process for weekly business metrics<br>• Identify and execute opportunities to automate and scale our current processes<br>• Leverage your technical skills, such as SQL/code writing, statistics, machine learning, etc., to enhance existing processes and learn new skills<br>• Ensure all reporting and analytical responsibilities are completed competently and promptly.
We are looking for a skilled Senior Data Scientist to join our team on a long-term contract basis in Las Vegas, Nevada. This role requires a deep understanding of advanced analytics and machine learning techniques to drive business success through actionable insights and innovative solutions. You will play a key role in developing models, optimizing processes, and guiding team members to ensure excellence in data-driven decision-making.<br><br>Responsibilities:<br>• Lead complex projects from initial concept through implementation, ensuring measurable business impact.<br>• Develop advanced models for profitability, forecasting, and demand optimization using econometrics and machine learning techniques.<br>• Design and evaluate A/B and multivariate experiments to assess the effectiveness of business initiatives.<br>• Create dashboards, visualizations, and automated reports to communicate insights effectively.<br>• Analyze and validate data integrity, addressing issues such as endogeneity, heteroskedasticity, and autocorrelation.<br>• Identify and implement optimization strategies to drive incremental profit growth.<br>• Provide guidance to team members in data wrangling, model validation, and effective communication of findings.<br>• Research and utilize emerging technologies, including machine learning and generative AI, to enhance analytical capabilities.<br>• Employ cloud platforms such as Databricks for scalable data processing and deployment.
<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>
<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>
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.
We are looking for a skilled Technical Engineer to join our team on a contract basis in San Antonio, Texas. In this role, you will focus on creating interactive dashboards, integrating tools, and managing social media strategies to enhance our digital presence. This position offers the opportunity to work with innovative technologies and contribute to impactful client projects.<br><br>Responsibilities:<br>• Develop and design interactive dashboards using Looker Studio to provide actionable insights.<br>• Implement integrations using Zapier to streamline workflows and optimize operations.<br>• Manage and enhance social media pages for the organization and clients, ensuring engaging and consistent content.<br>• Create in-house messaging for videos and social media campaigns, leveraging specific tools and platforms.<br>• Utilize video creation tools such as Synthesia.io and Pictory to produce explainer videos and promotional content.<br>• Provide training and guidance on video and social media tools to team members and clients.<br>• Collaborate with stakeholders to deliver blueprints for technical solutions and digital strategies.<br>• Ensure the seamless use of Google Apps, Google Sheets, and other productivity tools in daily operations.<br>• Maintain organized project documentation and workflows using Notion AI.<br>• Stay up-to-date with industry trends to continuously improve processes and solutions.
