Hire the Top 2% of
Remote Time Series Modeling Developers
in Brazil

Your trusted source for top remote Time Series Modeling developers, engineers, expert programmers, freelancers, and consultants in Brazil — Perfect for startups and enterprises.

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153 Remote Time Series Modeling developers and experts available to hire:

Time Series Modeling expert - Anderson S.
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Anderson S.

Vetted Time Series Modeling developer in Brazil (UTC-5)

Highly skilled **Senior Data Engineer** with **10+ years** of experience specializing in **Rust, C++, and high-performance computing**. Expertise in **low-latency data processing, distributed systems, and system-level programming**. Proven track record in **building scalable, memory-efficient applications** with a deep understanding of **Debian/Linux server management, database design, and numerical computing**. Passionate about **developing cutting-edge data engineering solutions** and contributing to **open-source Rust and C++ projects**.

Time Series Forecasting • 10 yrsTime Series ModelingSystem AdministrationData EngineeringRustMachine learningDocker & KubernetesApache KafkaElasticsearchDebianPostgreSQLC++BashKubernetesDeep LearningPyTorchHelmBare MetalDistributed Systems EngineeringRedisOAuth 2.0EhcacheFault Tolerance TechniquesJwtSOLID PrinciplesData IntegrationClean Architecture
+20
Apache Kafka, Elasticsearch, Debian, PostgreSQL, C++, Bash, Kubernetes, Deep Learning, PyTorch, Helm, Bare Metal, Distributed Systems Engineering, Redis, OAuth 2.0, Ehcache, Fault Tolerance Techniques, Jwt, SOLID Principles, Data Integration, Clean Architecture
Time Series Modeling architect - Carlos L.
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Carlos L.

Vetted Time Series Modeling developer in Brazil (UTC-3)

Innovative and results-driven Data Scientist with comprehensive experience in machine learning, deep learning, and data-driven insights across multiple industries. Proven track record in developing predictive models and optimization solutions, resulting in cost savings and increased production efficiency. Skilled at cross-functional collaboration, data storytelling, and mentoring, with a focus on implementing data science to drive strategic business decisions and operational improvements.

Time Series ModelingPredictive modelingPythonData ScienceMachine learningTensorFlowNLPAIComputer VisionAutomationCode optimizationForecastingDeep LearningPandasSpotfirePower BIMarketing analysisScikit-learnWeb ScrapingCRM
+13
AI, Computer Vision, Automation, Code optimization, Forecasting, Deep Learning, Pandas, Spotfire, Power BI, Marketing analysis, Scikit-learn, Web Scraping, CRM
Time Series Modeling expert - Rafael F.
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Rafael F.

Vetted Time Series Modeling developer in Brazil (UTC-3)

Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.

Data modeling • 5 yrsTime Series AnalysisSQLPythonData architectureData warehouseETLData EngineeringPower BIBigQuery MLWeb ScrapingSalesforceVirtualizationGit flowContinuous DeploymentApache AirflowMachine learningBig DataHeuristicsDeep LearningRESTful APIOpen Source Software
+15
Data Engineering, Power BI, BigQuery ML, Web Scraping, Salesforce, Virtualization, Git flow, Continuous Deployment, Apache Airflow, Machine learning, Big Data, Heuristics, Deep Learning, RESTful API, Open Source Software
Time Series Modeling engineer - Italo R.
Italo R.

Time Series Modeling developer in Brazil (UTC-3)

* Reduced annual absenteeism costs by over R$ 3 million for Heineken Brazil using Machine Learning. - Generated over R$ 6 million in annual revenue through causal inference. - Increased the ROI of a major e-commerce company by more than 30% using Marketing Mix Modeling. - Developed the company's first projects using LLM. Throughout my career, I've used the following tools: SQL, Python, PowerBI, DataStudio, Looker, BeautifulSoup, Scrapy, Databricks Google Cloud Platform, Azure, Git, Postgres, BigQuery, Azure OpenAI, Sklearn, Pandas, Numpy, Time Series, Regression, NLP, LLM.

Predictive modelingTime Series AnalysisAIMachine learningPythonData ScienceLLMNLPAnomaly DetectionGenerative AIAzure OpenAILanggraphPower BIDatabricksSQLScrapyGoogle BigQueryFormGoogle Data StudioMarketing analysis
+13
NLP, Anomaly Detection, Generative AI, Azure OpenAI, Langgraph, Power BI, Databricks, SQL, Scrapy, Google BigQuery, Form, Google Data Studio, Marketing analysis
Time Series Modeling coder - david C.
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david C.

Vetted Time Series Modeling developer in Brazil (UTC-3)

Experienced Data Scientist with 5+ years in AI-driven solutions, with expertise in computer vision and time-series analysis. Currently working at Itaú Unibanco, the largest bank in Brazil, where I optimize the accounting pipeline and develop anomaly detection models for debit and credit transactions across the entire financial system. Previously, I led projects in medical imaging, infrastructure assessment, and industrial automation using AI. Passionate about solving complex problems and driving innovation in international environments.

Time Series ForecastingMachine learningPythonComputer VisionAccountingAnomaly DetectionOCRClassificationImage AnalysisForecastingSegmentation strategyReliability centered maintenanceVoice RecognitionNLPChatbotRecommendation systems
+9
Classification, Image Analysis, Forecasting, Segmentation strategy, Reliability centered maintenance, Voice Recognition, NLP, Chatbot, Recommendation systems
Time Series Modeling engineer - Ian K.
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Ian K.

Vetted Time Series Modeling developer in Brazil (UTC-3)

Experienced Data Analyst with a proven track record of Martech, Product Analytics, Customer Analytics, and Data product development in startups and Large established through the delivery of high-quality data solutions. I've been instrumental in the success of a few LATAM and European companies, specializing in Python Environment, SQL, and Cloud native technologies (GCP, Azure, and AWS) 🚀 Key Expertise: Python and its main libraries for Data development (FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, Keras, etc.) Creation of Data Products using cloud environment in all of the major Clouds (Azure Data Factory, AWS Redshift & Glue, GCP Dataproc & Big Query) Working on Data Orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow CI/CD environments (Github, Gitlab, Confluence, and Jira) Proficient in programming, refactoring, and debugging skills 🌐 Other Skills: Proven experience working remotely in agile teams Independent problem solver with a proactive attitude and team player Passionate about designing data products with quality, scalability, and impact. Self-taught and curious, with a history of building and transforming startups and generating value in large companies 🎮 Additional Skills and Interests: Avid long-range cyclist, exploring the intersection of technology and cycling in the best possible way Enthusiastic gamer, with a penchant for immersive gaming experiences.

Time Series ForecastingSQLPythonMachine learningETLData ScienceMicrosoft SQL ServerGoogle BigQueryDBTMySQLComputer VisionGoogle Cloud PlatformLookerAirflow
+7
Google BigQuery, DBT, MySQL, Computer Vision, Google Cloud Platform, Looker, Airflow
Time Series Modeling programmer - Nathalia L.
Nathalia L.

Time Series Modeling developer in Brazil (UTC-3)

Experienced Data Consultant and Developer specializing in Telecom Operations, leveraging the power of AI-driven cognitive solutions to enhance human-machine collaboration. Skilled in traditional and generative AI, predictive analytics, and anomaly detection to optimize decision-making and operational efficiency. 15+ years of expertise in Wireless Systems as an Engineering Consultant, covering network operations, architecture, planning, dimensioning, design, performance management, and optimization.

Time Series ForecastingData ScienceMachine learningPythonAINLPTensorFlowComputer VisionData analyticsProcess MiningIntelligent AutomationGen aiReliability centered maintenanceTableauQlik SenseAnomaly DetectionProject management
+10
Computer Vision, Data analytics, Process Mining, Intelligent Automation, Gen ai, Reliability centered maintenance, Tableau, Qlik Sense, Anomaly Detection, Project management
Time Series Modeling architect - Luan B.
Luan B.

Time Series Modeling developer in Brazil (UTC-3)

Data Scientist with 6 years of expertise in Machine Learning, Generative AI, Data Analysis and Visualization and Data Engineering. From retail segmentation to predictive maintenance, I specialize in crafting impactful solutions utilizing Python, SQL, GCP, AWS, and innovative approaches. I have transformed data accessibility with an AI-driven WhatsApp Chatbot, providing tangible benefits to directors and managers. Additionally, I have excelled in optimizing media investments, engineering delivery time predictions. Proficiency in ETL design, regression modeling, and agile methodologies underlines my commitment to delivering high-quality solutions. Beyond technical skills, my strong communication abilities facilitate effective collaboration throughout cross-functional teams and ensure successful project outcomes.

Time Series ForecastingPython 3Machine learningData ScienceAIComputer VisionLLMSharePointPythonExploratory Data AnalysisSQLGoogle Cloud PlatformData VisualizationMetabaseOpenAIAWSLangchainData EngineeringMLOps
+12
SharePoint, Python, Exploratory Data Analysis, SQL, Google Cloud Platform, Data Visualization, Metabase, OpenAI, AWS, Langchain, Data Engineering, MLOps
Time Series Modeling engineer - Daniel C.
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Daniel C.

Vetted Time Series Modeling developer in Brazil (UTC-3)

With over 17 years of expertise in computational system analysis, research, and development, I have a strong background in backend web technologies, including Python, Golang, Rust, and TypeScript (NodeJS). I have delivered scalable solutions within microservices architectures. Nowadays, I am focused on advancing my knowledge in Artificial Intelligence, concentrating on Model Selection, Hyperparameter Tuning, and Reinforcement Learning to drive cutting-edge solutions.

Startup experienceData modeling • 6 yrsC++PythonBashSQLApache KafkaKubernetesRustGoElasticsearchPostgreSQLTypeScriptTerraformGraphql.jsTensorRTWAMPAWSMongoDBIstio
+12
Rust, Go, Elasticsearch, PostgreSQL, TypeScript, Terraform, Graphql.js, TensorRT, WAMP, AWS, MongoDB, Istio
Time Series Modeling coder - Lawrence F.
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Lawrence F.

Vetted Time Series Modeling developer in Brazil (UTC-3)

I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.

Data modeling • 5 yrsSQLData warehousePythonAzureJiraGoogle Cloud PlatformConfluenceApache AirflowAWSMySQLPostgreSQLGoogle AnalyticsGoogle BigQueryApache SparkMicrosoft SQL ServerLookerApache BeamDatabricksAzure Data Factory
+13
Confluence, Apache Airflow, AWS, MySQL, PostgreSQL, Google Analytics, Google BigQuery, Apache Spark, Microsoft SQL Server, Looker, Apache Beam, Databricks, Azure Data Factory

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Why clients hire Time Series Modeling developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Time Series Modeling developers
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Arc Time Series Modeling developers
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We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire a Time Series Modeling developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Time Series Modeling developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Time Series Modeling developers can help keep your website up-to-date.

How do I hire Time Series Modeling developers?

To hire a Time Series Modeling developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Time Series Modeling developers effectively and efficiently. Hire full-time Time Series Modeling developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Time Series Modeling developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Time Series Modeling developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Time Series Modeling developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Time Series Modeling developers?

There are two types of platforms you can hire Time Series Modeling developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Time Series Modeling developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Time Series Modeling developers, consider niche platforms like Arc that naturally attract and carefully vet their Time Series Modeling developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Time Series Modeling developers.

Some factors to consider when you hire Time Series Modeling developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Time Series Modeling developers for hire.

How do I write a Time Series Modeling developer job description?

Writing a good Time Series Modeling developer job description is crucial in helping you hire Time Series Modeling developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Time Series Modeling developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Time Series Modeling developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Time Series Modeling developer?

The top five technical skills Time Series Modeling developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Time Series Modeling developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Time Series Modeling developers to keep up with evolving technology and requirements.

What kinds of Time Series Modeling developers are available for hire through Arc?

You can find a variety of Time Series Modeling developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Time Series Modeling developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Time Series Modeling developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Time Series Modeling developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Time Series Modeling developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Time Series Modeling developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Time Series Modeling developers.

Every Time Series Modeling developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Time Series Modeling developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Time Series Modeling developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Time Series Modeling developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Time Series Modeling developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Time Series Modeling developers, you can rest assured that all remote Time Series Modeling developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Time Series Modeling developers on Arc?

Arc pre-screens all of our remote Time Series Modeling developers before we present them to you. As such, all the remote Time Series Modeling developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Time Series Modeling developer in 72 hours, or find a full-time Time Series Modeling developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Time Series Modeling developers.

How much does a freelance Time Series Modeling developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Time Series Modeling developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Time Series Modeling developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Time Series Modeling developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Time Series Modeling developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Time Series Modeling developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Time Series Modeling developers, check out our FAQs page.

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