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1,190 Remote Time Series Modeling developers and experts available to hire:

Naufil H., Time Series Modeling developer
Naufil H.

Time Series Modeling developer in Pakistan (UTC+5)

I have extensive experience in data science and computer vision, leading teams to provide business solutions. My research focuses on road anomaly detection and driver behavior analysis, with publications and projects in sleep disorder classification and urban land cover classification.

Time Series ModelingMachine learningData SciencePythonAIComputer VisionNLPNumPyPandasLeadershipNeural NetworksForecastingHeatmapsData processingDeployment automationTensorFlowAnomaly DetectionEdge ComputingAnnotationEvent Based trackingCustomer behavior analysisUser behavior analysis
+15
NumPy, Pandas, Leadership, Neural Networks, Forecasting, Heatmaps, Data processing, Deployment automation, TensorFlow, Anomaly Detection, Edge Computing, Annotation, Event Based tracking, Customer behavior analysis, User behavior analysis
Anderson S., Time Series Modeling developer
Anderson S.

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 Engineering
+12
Apache Kafka, Elasticsearch, Debian, PostgreSQL, C++, Bash, Kubernetes, Deep Learning, PyTorch, Helm, Bare Metal, Distributed Systems Engineering
ajay G., Time Series Modeling developer
ajay G.

Time Series Modeling developer in India (UTC+6)

Seasoned Data Scientist with over 8+ years of proven expertise in driving actionable insights and substantial cost savings across diverse domains. Renowned for elevating last-mile delivery hub order forecast accuracy by an impressive 11% and orchestrating a 19% performance boost through data pre-processing pipeline optimization. Proficient in Python, Machine Learning, Time Series Forecasting, Deep Learning, and recognized for strong leadership acumen.

Time Series ForecastingPredictive modelingPython 3Machine learningData ScienceGoogle BigQueryDockerGoogle Cloud PlatformTensorFlowPyTorchMLflowMLOpsCloudPredictive Analytics
+7
Google Cloud Platform, TensorFlow, PyTorch, MLflow, MLOps, Cloud, Predictive Analytics
CJ S., Time Series Modeling developer
vetted-badge
CJ S.

Vetted Time Series Modeling developer in the United States (UTC-4)

I am a Senior Data Engineer with experience in optimizing reports, developing ETL pipelines, and leading data team strategies. Skilled in Python, SQL, AWS, Docker, and data visualization tools.

Data modeling • 4 yrsSQLPythonAWSData warehouseDockerAirflowLinuxBash
+2
Linux, Bash
Rithesh K., Time Series Modeling developer
Rithesh K.

Time Series Modeling developer in the United States (UTC-7)

Computer vision and machine learning researcher with a strong foundation in neuro-symbolic AI and deep learning techniques. Former senior machine learning decision scientist who built AI models for real-world impact, including time-series analysis and risk scoring. Experienced in optimizing real-time AI models, multimodal learning, and perception algorithms for large-scale applications.

Startup experienceTime Series ModelingTime Series AnalysisNLPAIMachine learningTensorFlowPythonGenerative AISemantic WebAWS LambdaGoogle Cloud FunctionsAPI AutomationLLMRetrieval-Augmented GenerationRisk managementCredit scoring development
+9
Generative AI, Semantic Web, AWS Lambda, Google Cloud Functions, API Automation, LLM, Retrieval-Augmented Generation, Risk management, Credit scoring development
Ryan M., Time Series Modeling developer
vetted-badge
Ryan M.

Vetted Time Series Modeling developer in the United States (UTC-4)

I hold a Master's in Computer Science with a focus on Artificial Intelligence and have extensive experience as both a Data Scientist and Full Stack Developer. In my current role at DTN, I develop machine learning models for commodity demand forecasting and implement LLM-based solutions, while my previous position at Gro Intelligence involved leading full-stack development of web applications, and developing data pipelines for large numbers of time series. I'm proficient in Python (including pandas, scikit-learn, and various ML frameworks), Javascript, C#, and AWS services. My unique combination of ML expertise and full-stack development skills allows me to tackle complex technical challenges from both development and data science perspectives. I've successfully deployed production systems ranging from data pipelines to interactive web applications, and have experience working with Unity3D for simulation and VR development.

Time Series ForecastingMachine learningPythonFull StackDockerData ScienceDashAWSHTML/CSSJavaScriptNode.jsPandasNixScikit-learnLinuxBashNumPyPlotly
+11
AWS, HTML/CSS, JavaScript, Node.js, Pandas, Nix, Scikit-learn, Linux, Bash, NumPy, Plotly
Zubair A., Time Series Modeling developer
vetted-badge
Zubair A.

Vetted Time Series Modeling developer in Pakistan (UTC-7)

Results-oriented Senior Machine Learning Engineer with a proven track record of delivering impactful AI solutions that drive business growth. Specializing in the development and deployment of cutting-edge algorithms, I have successfully enhanced customer churn prediction, boosted customer satisfaction scores, and improved fraud detection systems. Skilled in analyzing large datasets to design personalized recommendation engines and optimize machine learning pipelines for real-time data processing. My expertise extends to developing and fine-tuning Large Language Models (LLMs), implementing Agentic Retrieval-Augmented Generation (RAG) systems, and building intelligent chatbots to elevate natural language understanding, automate customer interactions, and simplify access to critical documentation. These systems go beyond traditional query-response mechanisms by providing context-aware, dynamic, and actionable insights. Passionate about integrating state-of-the-art technologies to maximize model performance and operational efficiency. I consistently leverage my ability to research, innovate, and implement data-driven strategies that lead to measurable, game-changing outcomes. Always eager to push the boundaries of AI to deliver strategic value, transform business operations, and revolutionize user engagement through intelligent automation.

Predictive modelingTime Series AnalysisPythonData ScienceMachine learningSQLAINLPTensorFlowJavaScriptNode.jsBotAmazon RedshiftPredictive AnalyticsAWSRetrieval-Augmented GenerationClusteringGraphsLinear regressionText MiningXGBoostAnomaly DetectionSensor FusionSentiment TaggingTranscriber
+18
NLP, TensorFlow, JavaScript, Node.js, Bot, Amazon Redshift, Predictive Analytics, AWS, Retrieval-Augmented Generation, Clustering, Graphs, Linear regression, Text Mining, XGBoost, Anomaly Detection, Sensor Fusion, Sentiment Tagging, Transcriber
Italo R., Time Series Modeling developer
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
Rafael F., Time Series Modeling developer
vetted-badge
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
Carlos L., Time Series Modeling developer
vetted-badge
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

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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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Arc helps you build your team with our network of full-time and freelance Time Series Modeling developers worldwide.
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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