Role Description As a data scientist, you'll play a pivotal role in developing and enhancing our innovative supply chain solutions. You'll collaborate closely with a talented team of passionate engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do - Develop and implement machine learning models to improve the accuracy of supply chain ETAs. - Analyze large, complex datasets to extract meaningful insights and identify trends. - Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. - Collaborate with cross-functional teams to integrate analytics solutions into our products. - Design and build data visualization tools to communicate findings to stakeholders. - Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. - Contribute to the development of our analytics product suite, ensuring scalability and efficiency. - Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities - Utilize machine learning algorithms to analyze historical data and identify patterns for advanced predictive models. - Incorporate real-time data into predictive models for real-time data integration. - Analyze historical data to understand common delays and their causes. - Use data analytics to identify the most efficient routes for route optimization. - Implement machine learning algorithms to detect anomalies that could affect delivery times. - Leverage data from IoT devices and sensors for sensor data utilization. - Employ advanced analytics techniques like time series forecasting, geospatial analysis, and simulation models. Qualifications - BS or MS degree in Data Science, Statistics, Computer Science, or a related field. - Proven experience in machine learning, statistical modeling (5+ years). - Proficiency in programming languages such as Python or R. - Experience with SQL and working with large datasets. - Strong expertise in designing and building robust data pipelines, data lakes, and optimizing data storage and retrieval structures. - Knowledge of supply chain processes and logistics is a plus. - Strong problem-solving and analytical skills. - Excellent communication and teamwork abilities. - Speaking Spanish is a plus! Requirements - We prioritize Eastern Time Zone (NYC) and CET (Amsterdam) location base for employees so they can join regular team sessions comfortably.

Role Description We are looking for a Data Entry Clerk to join our team. This role offers flexibility to work remotely. In this role, you will assist our team by updating and maintaining information in our databases and provide administrative support as needed. As the ideal candidate, you will have exceptional attention to detail and be self-motivated to keep yourself focused on assigned tasks. Responsibilities - Preparing documentation for filing and/or associated correspondence. - Obtaining all proper supporting information and documentation to ensure proper, efficient administration of the file (including, but not limited to income and other tax filings, asset realizations). - Liaising with internal staff for clarification or outstanding documents (DSA/DSM). - Organizing file documents in accordance with our naming protocols. - Calculation of income and surplus income obligations. - Understanding relevant legal requirements of multiple provincial jurisdictions. - Performing relevant legal requirements of multiple provincial jurisdictions. - Performing relevant searches for insolvency, Personal Property Security Act registrations, house valuations and computation of realizable value. - Creating all documents required for signature. - Accurately transferring pertinent information from written and scanned records into Ascend (our internal software). - Maintaining client confidence and protecting operations by keeping confidential information. - Electronic filing of statutory documents. - Preparing documents for DocuSign. - Other tasks may be assigned as necessary. Qualifications - Experienced performing data entry with a proven high level of accuracy. - Extremely detailed oriented. - Exceptional organizational and prioritization skills. - Proficient technical skills and familiarity with Microsoft Office (Outlook, Excel, Word); able to learn computer software quickly. - Experience with Microsoft Dynamics CRM would be an asset. - Able to work independently and efficiently. - Strong written and verbal communication skills to convey information to others. - Good interpersonal skills to speak and deal effectively with other staff members. Benefits - Remote work model. - Vacation and wellness days. - Extended health and dental coverage, plus virtual doctor services. - Employee Assistance Program and mental health resources. - Company-matching retirement savings plan. - Financial support for professional development. - Annual company events. - Exclusive access to perks and discounts.

Role Description We are seeking an experienced Product Owner with strong expertise in Snowflake or Databricks to oversee the delivery of an enterprise data lake initiative. This role combines product ownership, technical understanding, and data platform knowledge. The ideal candidate will collaborate closely with engineering, architecture, and business teams to convert requirements into actionable plans and drive the successful deployment of a scalable enterprise data platform. - Lead the end-to-end delivery of an enterprise data lake built on Snowflake or Databricks—from initial setup through production release. - Translate business and data requirements into well-defined user stories, acceptance criteria, and sprint deliverables. - Oversee the development of data ingestion and integration pipelines from SaaS platforms and other enterprise systems. - Manage the full development lifecycle, ensuring timely completion of milestones and deliverables. - Prioritize and maintain the product backlog based on business value, feasibility, and operational needs. - Develop and manage a comprehensive delivery roadmap, including MVP releases and phased enhancements. - Collaborate with cloud infrastructure and DevOps teams to ensure the platform is scalable, secure, and cost-efficient. - Monitor and report key platform performance metrics such as pipeline success rates, processing times, and system reliability. - Ensure a smooth transition to analytics and data science teams through proper documentation and operational readiness. Qualifications - Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems. - Strong expertise in Snowflake or Databricks, including data modeling, data pipelines, and cloud architecture. - Experience working with engineering, data, and DevOps teams in Agile/Scrum environments. - Ability to translate complex business requirements into actionable technical plans. - Familiarity with data ingestion, ETL/ELT workflows, and API-based integrations. - Excellent communication and stakeholder management skills. - Experience in HRMS or large-scale enterprise environments is a strong plus.

Role Description We are sharing a specialised remote consulting opportunity for experienced Level 3, Tier 3, principal, or senior network support engineers based in the United States or Canada with expertise in enterprise infrastructure troubleshooting, packet analysis, final escalations, root cause analysis, incident response, and network operations. This role supports current and upcoming remote consulting opportunities focused on autonomous networking systems, production infrastructure data annotation, network behavior classification, anomaly review, incident-pattern labeling, and structured data pipeline development for AI-assisted infrastructure workflows. Selected professionals will review real-world networking data, label and classify operational patterns, and help structure network datasets based on hands-on enterprise networking and escalation experience. Key Responsibilities - Network Data Review & Annotation - Review real-world data from deployed network environments, including logs, configurations, telemetry, alerts, event streams, and operational records. - Label and classify network behaviors, issues, anomalies, incident patterns, outage indicators, and troubleshooting signals. - Translate hands-on network support experience into structured annotations, classification logic, and review-ready data outputs. - Support work involving enterprise switches, access points, firewalls, wireless infrastructure, network telemetry, incident records, and production network behavior depending on project needs. - Incident Analysis & RCA Workflow Support - Apply Level 3, Tier 3, principal support, or final-escalation experience to interpret complex network issues and operational patterns. - Review troubleshooting evidence for signs of misconfiguration, degraded performance, connectivity failures, packet-level issues, infrastructure instability, or recurring incident themes. - Use root cause analysis experience to help identify how network problems should be categorized, structured, and explained. - Evaluate incident and support data for clarity, completeness, technical accuracy, and usefulness for downstream analysis. - Data Pipeline Structure & AI Training Support - Help define schemas, labels, categories, and structured outputs for large-scale networking data pipelines. - Support the transformation of raw infrastructure data into organized inputs for AI-assisted network reasoning systems. - Identify useful patterns in logs, telemetry, configuration files, and incident records that may support autonomous networking workflows. - Contribute practical networking judgment to improve how intelligent systems interpret real-world infrastructure data. - Structured Feedback & Quality Control - Provide clear written feedback explaining network behaviors, classification decisions, incident patterns, and troubleshooting reasoning. - Follow detailed annotation guidelines, task instructions, quality criteria, and project-specific standards accurately. - Review discrete network data deliverables and identify areas for improvement. - Collaborate directly with project teams through remote workflows to improve data quality, annotation consistency, and infrastructure-focused AI outputs. Qualifications - Current or recent experience as a Level 3, Tier 3, principal support, senior network support, network operations, or escalation engineer. - Hands-on experience keeping enterprise infrastructure online and stable through on-call rotations, outage response, RCAs, final escalations, and complex troubleshooting. - Practical experience with end-customer enterprise networks across environments such as retail, healthcare, financial services, manufacturing, universities, hospitality, or similar sectors. - Strong working knowledge of switches, access points, firewalls, network telemetry, packet analysis, configuration review, and troubleshooting workflows. - Ability to identify and explain network behaviors, anomalies, incident patterns, root causes, and operational signals clearly. - Interest in how raw infrastructure data is structured and used as input for machine learning or AI-assisted systems. - Strong attention to detail and ability to classify technical data accurately and consistently. - Excellent written communication skills. - Ability to work independently in a remote, project-based environment. - Current location in the United States or Canada. Nice to Have - Experience with packet captures, log analysis, network observability tools, incident management systems, telemetry platforms, or infrastructure monitoring workflows. - Background supporting large-scale enterprise, campus, distributed, wireless, security, or branch network environments. - Familiarity with data annotation, data labeling, schema design, structured datasets, or AI training data workflows. - Experience documenting RCAs, escalation summaries, incident reviews, troubleshooting playbooks, or operational knowledge bases. - Curiosity about autonomous infrastructure, AI-assisted networking, machine learning data pipelines, or intelligent network operations. Why This Opportunity - Apply advanced network support and troubleshooting expertise to structured remote project work. - Contribute to data pipelines that support AI-assisted autonomous networking systems. - Use real-world escalation, incident response, and RCA experience in a focused annotation and review environment. - Work on discrete deliverables aligned with enterprise networking background and operational expertise. - Remote structure with competitive compensation. Contract Details - Independent contractor role. - Fully remote project-based work. - Eligible professionals should be based in the United States or Canada. - Expected commitment is approximately 30–40 hours per week depending on availability, onboarding status, task quality, and project needs. - Work may involve direct collaboration with project teams. - Work may be structured around network data review, annotation tasks, incident-pattern classification, schema support, RCA-informed analysis, or task-based assignments. - Competitive rates of $45–$65/hour depending on network engineering expertise, annotation quality, and project scope. - Screening may include resume or experience summary review, networking background assessment, and a brief sample task. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, vendor, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time. About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .