Remote Uruguay
IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey US. Today it is an industry leader in prepaid communication and payment services and one of the worldβs largest international voice carriers. We are listed on the NYSE employ over 1500 people across 20+ countries and have revenues in excess of $1.5 billion. IDT is looking for a hands-on Mobile Performance Marketing Manager to support our marketing team. In this role you will assist in executing and scaling paid campaigns across multiple digital channels helping grow the user base for two of our flagship apps Boss Money and Boss Revolution. This is a great opportunity for someone looking to develop their UA skills through smart strategy continuous testing and data-driven optimization. The interview process will be conducted in English. ### What You'll Do Support the execution of paid campaigns across multiple channels including Google Ads Meta TikTok Snapchat Reddit X and others assisting with strategy setup and daily optimization. Help develop and execute channel strategies to contribute to user acquisition targets (CPI CPA ROAS). Analyze the full performance funnel from ad impression through install activation and downstream conversions connecting paid media inputs to outcomes that inform budget and optimization decisions. Support creative testing from concept to completion executing A/B tests and helping establish a structured testing framework. Monitor and measure creative performance to evaluate how UA optimizations and changes influence results. Identify areas of improvement by analyzing performance data and converting insights into clear actions. Support the day-to-day collaboration with designers and creative teams to ensure ad assets are aligned with each app's messaging and audience. Continuously seek to learn and experiment with new channels optimization strategies and creative concepts staying ahead of the latest trends in mobile user acquisition. Experience or interest in leveraging AI tools to support day-to-day marketing tasks from creative production and copywriting to campaign workflows and performance analysis. ### Requirements 3+ years managing paid campaigns in a UA performance marketing or growth role. B2C + App acquisition experience needed. Hands-on experience with paid social platforms such as Meta TikTok and Snapchat. Strong analytical mindset with the ability to analyze performance data and turn it into clear optimization decisions. Fluent in English written and spoken. ### Nice to have Experience working with Tableau. Experience with fintech remittance or financial apps. Familiarity with MMPs. Experience with additional paid channels such as Google Ads DSPs Reddit and others is a plus. Basic understanding of ASO (App Store Optimization) and its role in driving organic and paid app growth is a plus. Working knowledge of AI tools for marketing (creative copy analysis or workflow automation). Experience with influencer marketing. ### What we offer 100% Remote work opportunity for the Latam region! B2B Employment ($ gross). Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training seminars and conferences. Referral program β get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English. Only accepting applicants from LATAM. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
We are looking for a Jr. NOC Analyst to join our team! You will proactively monitor and resolve all production alerts within IDTβs 24x7x365 Global Network Operations team. NOC Support Engineers monitor large networks and servers to detect hardware software or environmental malfunctions. When alerts trigger they analyze the issue determine the root cause and perform network or software troubleshooting. Following standard operating procedures they manage incident response and coordinate with site technicians third-party vendors or other IT teams to track and resolve problems. Working Days Tuesday to Saturday ### At this position you will Proactively monitor all production networks applications and services. Respond to & resolve alerts/alarms according to standard operating procedures. Track all issues in a ticketing system. Escalate alerts/issues to the appropriate Support team and work with the Support team towards a timely resolution. Work with the following tools Splunk New Relic Grafana Zabbix Jira Slack etc. ### Requirements 2 years of similar experience. Bachelorβs degree in Computer Science Information Technology Engineering or a related field Excellent monitoring / troubleshooting skills. Working knowledge of Windows and Linux OS Networks. Working knowledge of issues / ticket track system. Good level of English β B2 or higher. You will need to verbally explain technical issues clearly to non-technical stakeholders. Preferred certifications include Cisco CCNA CompTIA Network+/Security+ ITIL Foundation or AWS/Azure Fundamentals. Experience participating in high-priority incident bridge calls and writing post-mortem reports. ### Nice to have New Relic (or Datadog or SolarWinds). Splunk or other data log management tools like DynaTrace/Loggly/SumoLogic. Linux/Unix - basic knowledge. Networking (basic understanding of BGP MPLS OSPF protocols). ### We offer you Remote work opportunity! B2B Employment ($ gross). Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training seminars and conferences. Referral program β get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. A few words about us IDT Corporation is a global communications company founded in 1990 and headquartered in Newark New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE employ over 1800 people across 20 countries and have over $1.5 billion in revenues. We are not βanother big IT corporationββ we encourage and support in-house entrepreneurs in developing their ideas into business actions. We understand the challenge of being apart from those who matter most. BOSS Revolutionis our flagship brand. It includes International Calling Mobile Top Up and Money Transfer services. It enables people to keep in touch with family and friends around the world as well as to send money to more than 50 countries with low fees and great exchange rates. - ONLY ACCEPTING CANDIDATES FROM LATAM PLEASE SUBMIT CV IN ENGLISH We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering cloud infrastructure and DevOps where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs extract requirements and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions as well as executing hands-on technical work to ensure robust data operations. What To Expect In This Role (Responsibilities) Automation & Integration Develop Python components Terraform modules and pipelines to integrate and automate various tools and processes. API & System Orchestration Promote the use of APIs from distinct systems to extract and update data trigger and monitor processes and help tie infrastructures together. Cloud Reliability & Operations Deploy maintain and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect. Data Modeling & Documentation Help create Data Models technical documents and best practices for our users. DataOps Best Practices & Innovation Develop policies processes and best practices regarding DevOps and DataOps. You will also help identify opportunities generate innovative solutions and improve existing product features. Requirements Development & Scripting Strong proficiency in Python and bash and fluency in SQL as a second language. Data Ecosystems & Pipelines Deep familiarity with databases data warehouses and data lakes as well as being adept at data pipelines and process improvement. Cloud & Tooling Mastery Strong knowledge of AWS environments including EC2 Lambda IAM SQS RDS Kinesis Glue and EKS. Must also be familiar with modern development tools like Terraform GitHub Docker and dbt. Mindset & Work Style Ability to thrive in an environment with constant and quick iterations consistently seeking out creative solutions to challenging problems. Must have strong attention to detail. Autonomy & Collaboration Ability to work collaboratively while also being capable of owning a project with little guidance. Must be comfortable working in a diverse environment and non-hierarchical organizations. Customer-Facing Skills Ability to interact directly with customers to understand needs extract requirements and propose technical solutions. Nice to Have AWS associate or professional-level certifications such as Solutions Architect Developer or DevOps Engineer. Benefits High-impact strategic role driving modern data infrastructure and automation. Collaborative international environment with senior technical leadership. High autonomy to design propose and implement cutting-edge DataOps solutions. Long-term engagement with competitive compensation and growth opportunities. Why Join Coderio? At Coderio we value talent and technical excellence. We are passionate about modern engineering high autonomy and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to design and deploy next-generation data solutions that elevate engineering teams apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
### About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com We are looking for a Senior Data Engineer to design build and optimize scalable high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python SQL Apache Spark AWS and modern data engineering architectures with proven experience working with production-grade systems in fast-paced environments. ### What You Can Expect (Responsibilities) Design build and maintain high-throughput low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources. Design scale and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data. Collaborate with Data Scientists Software Engineers and Product Managers to understand business needs and translate them into scalable reliable data solutions. Implement and enforce data quality frameworks automated testing monitoring and alerting to ensure data integrity reliability high availability and compliance with SLAs. Drive the adoption of DataOps practices including CI/CD workflow automation and Infrastructure as Code (IaC) for data systems. Champion data governance privacy and security standards across data storage and compute layers including GDPR/LGPD compliance. Mentor and guide junior and mid-level Data Engineers promoting engineering excellence best practices and modern architectural patterns. ### Requirements 5+ years of experience in Data Engineering Big Data or related Software Engineering roles with a proven track record managing high-volume production-grade data systems in fast-paced environments. Strong proficiency in Python and SQL for complex data processing optimization and software development Scala or Java experience is a plus. Hands-on experience with Apache Spark/PySpark Delta Lake and modern lakehouse architectures including Data Mesh principles. Strong expertise in AWS data services particularly S3 Glue Athena EventBridge Firehose and Lambda. Solid experience with data orchestration and warehousing technologies including Apache Airflow or similar DAG-based tools and platforms such as Snowflake AWS Redshift or Google BigQuery. Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis as well as familiarity with modern data transformation and modeling tools such as dbt. Strong knowledge of DevOps/DataOps practices including Git Docker CI/CD pipelines (GitHub Actions GitLab CI or similar) Infrastructure as Code and cloud platforms such as AWS or GCP. Advanced English proficiency is required with the ability to communicate effectively in English in both technical and non-technical contexts. ### Nice to Have Previous experience in Fintech Payments E-commerce or other high-growth technology environments particularly working with financial transactions or highly regulated data. Experience with Databricks and advanced cloud lakehouse architectures. Knowledge of data privacy governance and security frameworks including GDPR/LGPD as well as experience implementing secure data platforms. Experience with Infrastructure as Code tools such as Terraform advanced DataOps automation and mentoring Data Engineers or contributing to technical architecture decisions. ### Benefits 100% remote Long-term commitment with autonomy and meaningful impact Strategic high-visibility role within a modern engineering culture Collaborative international team with strong technical leadership Career development and growth opportunities within Coderio ### Why join Coderio? At Coderio we value talent and excellence. While we are primarily a remote-first company this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology collaboration and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference we are waiting for you. Apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com This is a high-impact technical role. We are looking for a Senior AI Engineer to join our Cloud Platform initiatives. You will operate at the intersection of research cloud infrastructure and software engineering pioneering AI solutions to transform the Software Development Lifecycle (SDLC). Your primary mission is to build intelligent tooling copilots and automation that boost developer velocity optimize CI/CD pipelines and scale platform capabilities. This is a hands-on execution and research-driven role. You are responsible for designing benchmarking and deploying GenAI-driven solutions directly into internal developer platforms and infrastructure workflows. What To Expect In This Role (Responsibilities) AI for Developer Acceleration Build AI-powered tools internal assistants and copilots across each stage of the SDLC (code generation code reviews testing documentation and IaC generation) to reduce cognitive load and eliminate manual steps. Research & Prototyping Investigate benchmark and deploy GenAI solutions (e.g. LLMs RAG pipelines GitHub Copilot) to improve delivery pipelines reduce lead time and enhance system reliability. Platform & Delivery Innovation Prototype AI-driven platform features such as cost-aware autoscaling predictive incident resolution and automated root cause analysis within DevOps environments. Internal Developer Platform (IDP) Collaborate closely with Platform SRE and DevOps teams to integrate intelligent automation into the core engineering platform. Cross-Team Collaboration & Knowledge Sharing Partner with engineering leadership to identify operational friction test novel AI approaches and scale learnings through workshops and internal demos. Requirements Technical & Infrastructure Foundation Senior-level proficiency with container orchestration (Docker Kubernetes) cloud environments (AWS or GCP) and Infrastructure-as-Code (Terraform Ansible). Development Skills Strong hands-on proficiency in Python and scripting languages (Bash or Go) to build across AI models internal tooling and cloud infrastructure codebases. AI/ML Proficiency Practical experience implementing Large Language Models (LLMs) and code-generation tools (e.g. Codex Claude StarCoder GPT family) into real-world software workflows. SDLC & DevOps Mastery Deep understanding of the complete Software Development Lifecycle (planning testing releasing monitoring) and modern CI/CD automation systems. Mindset & Communication Research-driven curious approach to evaluating new technologies combined with strong problem-solving skills and the ability to articulate complex AI solutions to technical teams. Nice to Have Hands-on experience with Retrieval-Augmented Generation (RAG) architectures prompt engineering and custom model fine-tuning. Experience building scaling or contributing to Internal Developer Platforms (IDP). Published research open-source contributions or projects involving AI applied to software quality deployment safety or observability. Benefits High-impact strategic role driving the future of AI-assisted engineering. Collaborative international environment with senior technical leadership. High autonomy to research prototype and implement cutting-edge GenAI workflows. Long-term engagement with competitive compensation and growth opportunities. Why Join Coderio? At Coderio we value talent and technical excellence. We are passionate about modern engineering high autonomy and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to research and deploy next-generation AI solutions that elevate engineering teams apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
### About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com We are looking for a Senior Data Engineer to design build and optimize scalable high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python SQL Apache Spark AWS and modern data engineering architectures with proven experience working with production-grade systems in fast-paced environments. ### What You Can Expect (Responsibilities) Design build and maintain high-throughput low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources. Design scale and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data. Collaborate with Data Scientists Software Engineers and Product Managers to understand business needs and translate them into scalable reliable data solutions. Implement and enforce data quality frameworks automated testing monitoring and alerting to ensure data integrity reliability high availability and compliance with SLAs. Drive the adoption of DataOps practices including CI/CD workflow automation and Infrastructure as Code (IaC) for data systems. Champion data governance privacy and security standards across data storage and compute layers including GDPR/LGPD compliance. Mentor and guide junior and mid-level Data Engineers promoting engineering excellence best practices and modern architectural patterns. ### Requirements 5+ years of experience in Data Engineering Big Data or related Software Engineering roles with a proven track record managing high-volume production-grade data systems in fast-paced environments. Strong proficiency in Python and SQL for complex data processing optimization and software development Scala or Java experience is a plus. Hands-on experience with Apache Spark/PySpark Delta Lake and modern lakehouse architectures including Data Mesh principles. Strong expertise in AWS data services particularly S3 Glue Athena EventBridge Firehose and Lambda. Solid experience with data orchestration and warehousing technologies including Apache Airflow or similar DAG-based tools and platforms such as Snowflake AWS Redshift or Google BigQuery. Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis as well as familiarity with modern data transformation and modeling tools such as dbt. Strong knowledge of DevOps/DataOps practices including Git Docker CI/CD pipelines (GitHub Actions GitLab CI or similar) Infrastructure as Code and cloud platforms such as AWS or GCP. Advanced English proficiency is required with the ability to communicate effectively in English in both technical and non-technical contexts. ### Nice to Have Previous experience in Fintech Payments E-commerce or other high-growth technology environments particularly working with financial transactions or highly regulated data. Experience with Databricks and advanced cloud lakehouse architectures. Knowledge of data privacy governance and security frameworks including GDPR/LGPD as well as experience implementing secure data platforms. Experience with Infrastructure as Code tools such as Terraform advanced DataOps automation and mentoring Data Engineers or contributing to technical architecture decisions. ### Benefits 100% remote Long-term commitment with autonomy and meaningful impact Strategic high-visibility role within a modern engineering culture Collaborative international team with strong technical leadership Career development and growth opportunities within Coderio ### Why join Coderio? At Coderio we value talent and excellence. While we are primarily a remote-first company this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology collaboration and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference we are waiting for you. Apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com This is a high-impact technical role. We are looking for a Senior Machine Learning Ops Engineer to join our team. You will own the architecture development and automation of end-to-end machine learning solutions. Operating within an established engineering team you will be a key player in bridging the gap between data science and software engineering evaluating cloud solutions and deploying scalable machine learning models into production. This is a hands-on execution role. You are responsible for the technical health of the ML lifecycle the performance and cost-efficiency of the cloud architecture and delivering high-quality scalable solutions that drive business value. What To Expect In This Role (Responsibilities) ML Architecture & Development Architect and develop robust end-to-end machine learning solutions. MLOps & Automation Manage and automate the complete machine learning lifecycle ensuring seamless transitions from development to production. Cross-Functional Collaboration Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle. Cloud & Architecture Strategy Work on cloud solutions actively evaluating the performance and cost-efficiency of potential architectures. Business Alignment Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions. Mentorship & Advocacy Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments. Requirements Educational Foundation Bachelorβs degree in software engineering/computer science or proven equivalent experience in data engineering or machine learning roles. ML Deployment Mastery Proven hands-on experience implementing and deploying machine learning solutions in production environments. Core Stack Expertise Advanced knowledge of Python SQL and Spark. Tooling & Infrastructure Strong knowledge in (or similar to) Docker Git Bash Scripting FastAPI Sagemaker Studio Airflow and CloudFormation. Architecture & Integration Solid understanding of data architectures and complex systems integration. Problem Solving Demonstrated ability to troubleshoot and solve complex software system issues. Cloud Platforms Extensive experience with modern cloud platforms specifically AWS and GCP. Soft Skills Must be a team player who effectively participates within the group. We are looking for a curious profile a self-learner with a positive attitude and excellent communication skills. Nice to Have Domain experience in payments or other complex financial systems is a huge plus. Benefits Long-term contract engagement with high impact and autonomy. Strategic and high-visibility role within a modern engineering culture. Opportunity to influence technical strategy especially regarding MLOps scalable data architectures and cloud cost-efficiency. Collaborative international team with strong technical leadership. Flexible dynamic and fast-paced work environment. Why Join Coderio? At Coderio we value talent and excellence. We are a remote-first company and this specific strategic role offers the opportunity to drive high-stakes initiatives from anywhere. We are passionate about technology collaboration and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference we are waiting for you. Apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com We are looking for a Senior Data Scientist Lead to join one of our international clients and lead the design development and delivery of data science solutions that generate measurable business value. This is a high-impact technical leadership role for an experienced Data Scientist who combines strong hands-on expertise with the ability to guide technical decisions mentor other data professionals and collaborate with business and engineering stakeholders. You will work across the full data science lifecycle from understanding business problems and defining analytical approaches to developing machine learning models deploying solutions to production and continuously improving their performance. The ideal candidate is highly analytical hands-on business-oriented and comfortable working with cloud-based data and machine learning environments particularly AWS. What To Expect In This Role (Responsibilities) Data Science Leadership Lead the design and implementation of data science initiatives defining methodologies technical approaches and best practices across projects. Machine Learning & Modeling Develop evaluate and optimize statistical and machine learning models to solve complex business problems and generate actionable insights. End-to-End Data Science Own the complete data science lifecycle including data exploration feature engineering model development validation deployment monitoring and continuous improvement. AWS & Cloud Solutions Design and implement scalable data science and machine learning solutions leveraging AWS cloud services and best practices. Technical Leadership Provide technical guidance to Data Scientists and other technical team members promoting high-quality engineering and analytical practices. Business Collaboration Work closely with business stakeholders product teams data engineers and software engineers to translate business challenges into effective data-driven solutions. Model Performance & Optimization Monitor model performance identify opportunities for improvement and ensure solutions remain accurate scalable and aligned with business objectives. Data Strategy Contribute to the definition of data science strategies analytical frameworks and best practices that support long-term business growth. Knowledge Sharing Mentor team members conduct technical reviews and promote knowledge sharing across the organization. Requirements Experience 6+ years of professional experience in Data Science Machine Learning Advanced Analytics or a related field with proven experience leading technical initiatives or teams. Data Science Expertise Strong hands-on experience with statistical modeling machine learning algorithms predictive analytics experimentation and data-driven problem solving. Programming Advanced proficiency in Python with experience using common data science and machine learning libraries such as Pandas NumPy Scikit-learn or similar. Machine Learning Strong understanding of supervised and unsupervised learning model evaluation feature engineering optimization and production machine learning practices. AWS Solid hands-on experience designing or implementing data science and machine learning solutions in AWS environments. Data & SQL Strong SQL skills and experience working with large datasets data warehouses and complex data environments. Technical Leadership Proven ability to lead technical discussions make architecture and modeling decisions mentor other professionals and drive projects from concept to production. Communication Advanced English proficiency with the ability to communicate complex technical concepts clearly with international teams stakeholders and leadership. Problem Solving Strong analytical and critical-thinking skills with a pragmatic approach to solving complex business and technical challenges. Nice to Have Experience with AWS services such as SageMaker S3 Glue Redshift Lambda EMR or Athena. Experience deploying and monitoring machine learning models in production. Experience with MLOps and ML lifecycle automation. Experience with Spark or other distributed data processing frameworks. Experience with Docker and Kubernetes. Experience with Generative AI LLMs RAG or NLP solutions. AWS certifications related to Data Machine Learning or Solutions Architecture. Experience working in financial services or other data-intensive industries. Benefits 100% remote work. Long-term engagement with international clients. High-impact technical leadership role. Opportunity to influence data science and machine learning strategy. Collaborative international environment with experienced technical teams. Continuous learning and professional growth opportunities. Why Join Coderio? - At Coderio we value talent regardless of location. We are a fully remote company passionate about technology collaboration and technical excellence. We offer an inclusive and challenging environment where experienced professionals can take ownership influence technical strategy and work on meaningful projects with global clients. If you are an experienced Data Scientist who enjoys combining hands-on technical work with leadership mentoring and business impact we'd love to hear from you. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
### About this Role This contractor will join the Phones Support team to handle complex technical issues related to VoIP SIP and PBX systems for multi-site clients. The role exists to strengthen the teamβs capacity on advanced troubleshooting reduce escalation volume and improve first-contact resolution on network and call-quality problems. The contractor will work tickets daily support remote diagnostics and help document solutions so the wider team can scale more effectively. This is a 100% remote contract position based in Latin America (including Central America) with availability aligned to North American business hours as agreed per engagement. Fluency in English (both written and spoken) is required for this role. To apply for the this position please submit your resume in English highlighting your qualifications. Contractors must provide their own equipment (laptop monitors keyboard mouse etc.) stable internet connectivity and dedicated workstations. ### Tasks Diagnose and resolve SIP/VoIP connectivity issues including NAT traversal SDP mismatches one-way audio and packet loss across 15+ client tickets per day Administer and troubleshoot PBX systems at the call-flow and trunk-configuration level not just individual device settings Remotely diagnose network-level issues at client sites including router/firewall checks and guide non-technical client staff through resolution steps via phone or screen share Provision and configure IP phones (Yealink Grandstream Polycom-class devices) for new and existing client accounts Manage and resolve client-facing tickets in the ticketing system daily maintaining SLA adherence and clear written communication throughout Document recurring technical issues and solutions in the internal knowledge base for team-wide use ### Requirements 2-4 years of experience in technical VoIP/PBX support with demonstrated experience on multi-site or enterprise-scale PBX deployments Solid working knowledge of SIP protocol RTP/RTCP PBX call routing/configuration codec-related call quality issues and common VoIP failure modes Working knowledge of networking fundamentals subnetting/VLANs QoS configuration and packet capture analysis (Wireshark or equivalent) Hands-on experience provisioning and configuring IP phones across multiple hardware vendors Strong written English communication for client-facing correspondence Demonstrated ownership β able to see a complex technical issue through to full resolution without heavy oversight PetDesk offers an ecosystem of top-tier client engagement solutions for the pet healthcare and services communities enhancing communication service quality and client retention. With its cutting-edge solutions we support more than 10000 veterinary clinics and over 400 grooming facilities and serve over 20 million pet parents worldwide. Please no external recruitersβcandidate profiles submitted from external recruiting agencies will not be considered. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Remote Uruguay
Our Client is seeking a Senior Analytics Engineer to own and scale our analytics infrastructure. This role is responsible for designing and maintaining our data warehouse developing scalable reporting solutions and transforming complex data into actionable business insights. This is a highly technical hands-on role for someone who enjoys building systems that scale. The ideal candidate is comfortable working directly with business stakeholders to understand their needs translating business logic into technical solutions and partnering closely with engineering to build reliable long-term data infrastructure. Rather than simply responding to reporting requests you will proactively identify opportunities to improve how data is collected modeled and delivered across the organization. Key responsibilities DATA WAREHOUSING & ARCHITECTURE β Design build and maintain a scalable enterprise data warehouse. β Develop reusable data models and data marts that support recurring business needs. β Continuously improve warehouse architecture as new business requirements emerge. β Ensure data quality consistency and long-term maintainability across reporting SQL SERVER DEVELOPMENT β Write optimize and maintain complex SQL queries to support reporting and analytics. β Develop and maintain production stored procedures and views while ensuring downstream reports and applications remain stable. β Translate complex business logic into scalable SQL solutions. β Optimize query performance and identify opportunities to improve efficiency. AMAZON DATA & ANALYTICS β Integrate and analyze data from Amazon Seller Central SP-API and Amazon Ads API. β Understand the strengths and limitations of Amazon reporting sources and recommend the appropriate data source for each business need. β Develop reporting and insights around key ecommerce metrics including Customer Lifetime Value (LTV) Customer Acquisition Cost (CAC) Advertising performance Sales and profitability Inventory performance Operational KPIs METRIC ACCURACY & VALIDATION β Own the accuracy of business metrics across all reporting environments. β Define and document metric logic so definitions stay consistent and transparent across teams. β Reconcile results against Amazon Seller Central SP-API Amazon Ads API and other source systems to confirm they agree. β Identify and investigate discrepancies between sources and resolve the root cause rather than the symptom. β Verify that reported numbers represent business reality not just technically correct query output. INSIGHTS & RECOMMENDATIONS β Explain what is driving the results not just what the numbers say. β Surface risks and opportunities in the data proactively before being asked. β Propose concrete evidence-based actions tied to business outcomes. β Translate findings into recommendations that both technical and non-technical stakeholders can act on. BUSINESS PARTNERSHIP β Partner directly with business stakeholders to understand goals define requirements and recommend scalable data solutions. β Challenge requests when a different analytical approach will better solve the underlying business problem. β Present findings and recommendations in a clear actionable manner to both technical and non-technical audiences. β Serve as a trusted partner across leadership operations marketing and engineering. REPORTING & AUTOMATION β Build scalable dashboards reporting solutions and automated data workflows. β Replace repetitive ad hoc reporting with reusable reporting frameworks. β Identify opportunities to automate manual processes and improve data accessibility. β Maintain clear documentation for reporting logic warehouse architecture and data definitions. CROSS-FUNCTIONAL COLLABORATION β Work closely with software engineers to support data pipelines and internal applications. β Participate in technical discussions around architecture integrations and system improvements. β Contribute to projects that improve the organization's overall data capabilities. Qualifications β 3+ years of hands-on SQL experience in a production environment. β Advanced SQL skills including Stored Procedures Views Indexing Query Optimization β Demonstrated ability to translate business logic into SQL solutions rather than simply executing pre-written queries. β Experience writing and maintaining production stored procedures and views without disrupting downstream consumers. β Proven experience building a data warehouse from the ground up or significantly evolving an existing warehouse. β Experience designing and delivering reusable data marts that support recurring business needs. β Deep understanding of Amazon reporting including Seller Central reporting SP-API Amazon Ads API and the capabilities and limitations of each. β Experience turning Amazon data into meaningful business insights including Customer Lifetime Value (LTV) Customer Acquisition Cost (CAC) advertising performance profitability and operational reporting. β Demonstrated ownership of metric accuracy defining metric logic documenting definitions and reconciling results across multiple source systems to confirm they reflect business reality. β Track record of turning analysis into action explaining what drives results flagging risks and opportunities and recommending concrete next steps rather than only delivering data. β Experience working directly with stakeholders to scope business requirements ask thoughtful questions and recommend scalable solutions rather than simply taking requests at face value. β Strong analytical thinking problem-solving and communication skills. Preferred Qualifications β Experience working with T-SQL. β Experience working at an ecommerce brand or ecommerce agency. β Strong programming mindset with the ability to collaborate directly with software engineers and contribute to software projects when appropriate. β Comfortable working in a fast-paced environment while using AI tools such as Claude or similar platforms to improve productivity and accelerate development. Nice to Have β Experience with Google Apps Script. β Experience implementing dbt from the ground up. β Experience using Git and version control workflows. β Familiarity with PostgreSQL / Supabase Work Schedule This is a full-time position Monday through Friday from 1000 AM to 600 PM ET. The role is fully remote and reliable availability during these hours is required for collaboration with internal teams. Work From Home Requirements β Stable wired internet connection (DSL or Fiber) with a minimum download/upload speed of 10 Mbps. β Backup internet solution (LTE mobile data or pocket WiFi). β Desktop or laptop computer with at least an Intel i3 processor (or equivalent). β Quality headset with microphone and noise cancellation preferred. β External or integrated webcam. How to Apply Submit your CV to c a r e e r s @blankspace-ph.coο»Ώm (remove space) with the subject line Application β Amazon Inventory & Logistics Specialist Job Type Full-time Application Question(s) Are you fluent in English? Can you walk us through a complex SQL query youβve written in a production environment that involved stored procedures views indexing and query optimization? Describe your experience using Amazon Seller Central reporting SP API and Amazon Ads API to generate insights such as LTV CAC advertising performance and profitability. How have you managed their limitations? Work Location Remote
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