Remote Data Analyst Jobs

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 3 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production;
Solid understanding of systems, software and data engineering best practices;
Proficiency with cloud-based services;
Proficiency in Python or another major programming language;
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning);
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
Experience leading teams and managing careers.

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Project Management Python Software Development SQL Artificial Intelligence Cloud Computing Kubernetes Machine Learning Software Architecture Algorithms Data engineering Data science Data Structures REST API Communication Skills CI/CD Agile methodologies RESTful APIs Excellent communication skills Problem-solving skills Team management Technical support Data modeling

Posted about 3 hours ago

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 3 hours ago

📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production
Proficiency with cloud-based services
Proficiency in Python or another major programming language
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning)
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Python Software Development SQL Apache Airflow Cloud Computing Flask Kubernetes Machine Learning Numpy Data engineering Data science RDBMS REST API Pandas Communication Skills CI/CD RESTful APIs

Posted about 3 hours ago

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🔥 AI Software Engineer

Posted about 4 hours ago

📍 US, Canada, & Latin America

🧭 Full-Time

💸 105000.0 - 140000.0 USD per year

🔍 Software Development

🏢 Company: Superhuman

🔧 Requirements

You have 3-6+ years of software engineering experience, with 2+ years of AI-focused work.
You’re an expert in backend technologies such as Go or Python.
You have expertise in AI technologies such as working with ML models, LLMs, NLPs, fine-tuning, etc.
You have a strong foundation in software engineering principles that prioritize high-quality, maintainable code that adheres to best practices.
You're able to identify problems, propose solutions, and make informed decisions to drive forward our AI efforts.
You're comfortable dealing with ambiguity and can think critically to make decisions that benefit the company and our users.
You have a deep understanding of hosted and open-source models and algorithms.
You can leverage, implement, and optimize these models to solve complex problems and deliver value to our users.

💡 Responsibilities

Successfully implement AI features that enhance user experience and drive user engagement
Ensure all AI code released is robust, scalable, and maintainable
Stay at the forefront of AI technology and research, integrating relevant findings and technologies into our systems
Foster cross-functional collaboration, ensuring AI solutions align with overall company goals
Uphold ethical AI practices, ensuring our AI initiatives are responsible and respectful of user privacy

Backend Development Python Artificial Intelligence Machine Learning MLFlow Numpy Algorithms Go Tensorflow Software Engineering

Posted about 4 hours ago

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🔥 IT Content Author

Posted about 5 hours ago

📍 United States

💸 74300.0 - 106567.0 USD per year

🔍 IT

🏢 Company: wiley_careers

🔧 Requirements

Typically has MS/PhD or equivalent experience to demonstrate subject matter expertise
Typically has at least 2 years teaching experience, usually more
Acts as a resource for colleagues with less experience
Requires in-depth knowledge and experience
Uses best practices and knowledge of internal or external business issues to improve processes
Solves complex problems; takes a new perspective using existing solutions
Works independently, with guidance in only the most complex situations
Progression to this level is typically restricted to selected job families based on business requirements

💡 Responsibilities

May train/mentor for new authors in discipline
Authors sections, CA’s, labs, and other content types independently.
Takes ownership of assigned projects/titles.
May serve as a lead author on one or more titles
May maintain backlog of improvements for given titles and contributes strategy and roadmap ideas to leads or Senior Managers.
Responsible for ensuring quality of their projects/titles along with the project manager.
May speak at conferences; publish research papers, articles and blog posts.
Define and implement auto-generated and auto-graded homework assignments
Maintain and improve existing content
May collaborate with colleagues on the development team to define and develop interactive tools
Collaborate with colleagues in Marketing and Sales to assist with demos, respond to instructor feedback, assist with special requests, and more
May work with project managers to oversee external authoring projects (evaluate project proposals, train external authors to utilize the zyBooks platform, review content to ensure quality and adherence to zyBooks' authoring guidelines)

Python HTML CSS Java Javascript C++Algorithms Content creation Content management Data science Data Structures CI/CD RESTful APIs Data visualization Debugging

Posted about 5 hours ago

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🔥 Technical Account Manager (Remote Portugal)

Posted about 5 hours ago

📍 Poland

🧭 Full-Time

🏢 Company: Rossum👥 251-500💰 Debt Financing over 1 year agoArtificial Intelligence (AI)SaaS Machine Learning Document Management Software

🔧 Requirements

Enjoy working with customers, exceeding their expectations, and uncovering their needs and pain points.
Deliver clear, structured, and convincing presentations about your vision for the account and your plan.
Frame difficult problems by breaking them down for easier analysis and fostering a solution-oriented perspective.
Enjoy project management and can coordinate projects with multiple stakeholders.
Communicate designs and ideas in a clear and descriptive manner for customers to understand your recommendations.
Foster UX sensitivity and aim to simplify customers’ workflows.
Be honest and base your opinions on data, but don’t cling to it in the face of good arguments.
Strong problem-solving skills with a hands-on technical background.
Experience with other SaaS products, including API, integration, configuration, and customization.
Practical understanding of some of the following: Python, JavaScript, SQL, HTTP requests and API, integration platforms, AWS, GIT, and Tableau.

💡 Responsibilities

Being the customers' main technical contact throughout their contract.
Project managing more complex customer projects involving multiple parties with different skill sets and needs.
Cooperating with members of the Customer Experience and Sales organizations to deliver an exceptional customer experience.
Consulting with the Rossum product team on continuous improvement of the Rossum platform and advocating for customer views.
Tweaking and configuring customer accounts to achieve a great user experience, leveraging powerful tools like the Calculations extension.
Performing basic scripting in Python to support customer solutions.

AWS Project Management Python SQL API testing CI/CD Problem Solving Customer service RESTful APIs Excellent communication skills Account Management Relationship management Data visualization Technical support Scripting Customer Success SaaS

Posted about 5 hours ago

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🔥 Senior Solution Architect (Remote Slovakia)

Posted about 5 hours ago

📍 Spain

🧭 Full-Time

🏢 Company: Rossum👥 251-500💰 Debt Financing over 1 year agoArtificial Intelligence (AI)SaaS Machine Learning Document Management Software

🔧 Requirements

Ex-programmer
Love solving puzzles
Communicate designs and ideas clearly and descriptively
Asking the right questions
Understand the general principles of good security practices
UX-sensitive

💡 Responsibilities

Understanding customers' needs and tailoring customized solutions.
Creating descriptive and actionable backlogs for developers based on customer requirements.
Contextualizing technical decisions by their business impact.
Communicating designs and ideas clearly, ensuring developers can follow through effectively.
Asking the right questions to reveal customer pain points and their true source.
Identifying potential security risks to both the solution and the overall delivery process.

AWS PostgreSQL Python Django Flask Javascript Kubernetes Software Architecture REST API Communication Skills RESTful APIs Stakeholder management Data modeling Customer Success

Posted about 5 hours ago

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🔥 (UP024) Data & Telemetry Architect - Talent Connection

Posted about 5 hours ago

📍 LATAM

🔍 Telecommunications

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

🔧 Requirements

5+ Years of experience in Data Architecture, including designing robust data models (e.g., Splunk CIM, star/snowflake schemas) and data governance frameworks tailored to large-scale, high-volume telemetry data (preferably within telecommunications).
3+ Years of hands-on experience in at least two of the following observability platforms: Splunk (including Splunk Search Processing Language – SPL, and Common Information Model – CIM), ELK Stack (Elasticsearch, Logsearch complex pipelines, Kibana dashboards), Grafana and Prometheus for implementing observability solutions.
2+ Years of strong scripting skills (e.g., Python, Bash, PowerShell) for automation of telemetry system deployment, configuration management, and operational tasks.
Experience designing and implementing observability solutions with audit trails for user/system activities.
Familiarity with distributed tracing concepts and tools (e.g., OpenTelemetry, Grafana Tempo, Jaeger).
Understanding of telco network architectures (4G/LTE, 5G) and common data sources (CDRs, IPDRs, signaling data).
Proven experience designing scalable observability systems in telco or high-throughput environments.
Knowledge of security best practices for telemetry platforms (data encryption, RBAC).
Experience with cloud environments (AWS, Azure or GCP) and native cloud monitoring tools (CloudWatch, Azure Monitor or Google Operations Suite).
Experience designing and implementing data warehousing or data lake solutions for high-volume telemetry data.

💡 Responsibilities

Design, implement, and manage telemetry systems to enhance telecommunications operations.
Develop and optimize telemetry and observability platforms using tools like Splunk, ELK Stack, Grafana, and distributed tracing solutions.
Ensure network performance, service assurance, and security through advanced telemetry strategies.

AWS Python Bash Cloud Computing GCP Azure Grafana CI/CD Data modeling

Posted about 5 hours ago

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🔥 Principal Data Scientist - Pharma Media

Posted about 5 hours ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50 Digital Marketing Advertising Digital Media Consulting

🔧 Requirements

Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
5+ years of analytics experience
Minimum of 4 years’ hands-on experience in machine learning and relational databases.
Proficient in data manipulation using SQL, Python, and/or similar programming languages.
Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
Strong project-management skills managing cross-functional workflows.
Proven ability to build and maintain client relationships.

💡 Responsibilities

Mentor data scientists, fostering collaboration and professional growth.
Develop and execute a data-science strategy aligned with company objectives.
Design, implement, and optimize predictive models and machine-learning algorithms.
Partner with software engineers, product managers, and business units to deliver client-facing solutions.
Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
Manage model lifecycle: design, training, evaluation, validation, and deployment.
Translate complex analytical results into clear business recommendations and compelling visualizations.
Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
Analyze digital trends, user behavior, and product performance.
Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
Support measurement strategies, including learning agendas, test plans, and frameworks.
Collaborate regularly with stakeholders to address digital data needs and challenges.
Educate research and business teams on data-best practices and infrastructure.

Python SQL Data Analysis Machine Learning Snowflake Algorithms Data science Data visualization Data modeling

Posted about 5 hours ago

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🔥 DevOps Associate

Posted about 5 hours ago

📍 United States

🏢 Company: Interapt👥 101-250 Web Development Software

🔧 Requirements

2+ years of experience in a DevOps or Cloud Engineering role
Proficiency with AWS services required (EC2, S3, IAM, CloudFormation, etc.)
Experience with CI/CD tools
Familiarity with Infrastructure as Code (IaC) and containerization (Docker, Kubernetes)
Experience using scripting tools (Python, Bash, or similar)
Excellent communication and organizational skills for client-facing work
Passion for learning and applying IT risk, controls, and compliance concepts
Exposure to or interest in SOX compliance, NIST, or COSO frameworks
Experience working in regulated or high-growth environments (e.g., fintech, healthcare, pre-IPO)
AWS certification (Cloud Practitioner, Solutions Architect Associate, etc.)

💡 Responsibilities

Collaborate with risk consultants and IT auditors to assess and strengthen technology control environments
Automate deployment, monitoring, and configuration management across client environments (primarily AWS)
Support the design and implementation of DevOps pipelines with an eye on compliance
Participate in system reviews to identify gaps in infrastructure security, change management, and access controls
Assist clients in prep for IPO or audit readiness by aligning their DevOps practices with governance frameworks
Build scripts/tools to help automate evidence collection or control monitoring processes
Act as a technical SME during client meetings and documentation sessions

AWS Docker Python Bash Kubernetes CI/CD DevOps Compliance Risk Management Scripting

Posted about 5 hours ago

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🔥 AI/ML Engineer - Build the Future, Not Just the Model

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Marketplace

🏢 Company: CitizenShipper

🔧 Requirements

5+ years of experience in ML/AI (industry, startup, or serious research)
Has built and deployed ML systems at scale (not just notebooks)
Understands LLMs, embeddings, transformers, and how to bend them to your will
Is dangerously good with Python, vector DBs, and modern ML tooling
Has an instinct for product, not just precision

💡 Responsibilities

Build and ship models that solve real, high-leverage business problems
Own the entire ML lifecycle: framing → data → modeling → deployment → iteration
Architect data infrastructure and design pipelines that scale
Prototype fast, validate faster, deploy in the wild, and learn even faster
Explore LLM and agent-based systems for internal tooling and CX optimization
Push boundaries with real-time, production-grade AI — not sandbox toys

Python Machine Learning

Posted about 5 hours ago

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