Your trusted source for top remote Time Series Analysis developers — Perfect for startups and enterprises.
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Vetted Time Series Analysis developer in Spain (UTC+2)
Data Scientist with almost 7 years of experience with clients in the UK and Spain. I specialise in developing PoCs and MVPs with AI and Cloud technologies, working in cross-functional teams in sectors such as banking, telecommunications and the public sector. With over 30 collaborations for over 15 clients under my belt in the last three years, some of my projects include developing NLP models for identifying bad practices in IT reports, developing a client call transcription tool for further analysis, creating dashboards for KPI visualisation and writing a course on time series analysis. I specialise in econometric techniques for time series analysis, causal inference, natural language processing (NLP), and data visualisation. My programming language is Python, and I have experience with cloud technologies (IBM), visualisation tools (Cognos Analytics), and databases (Mongo, Db2).
Vetted Time Series Analysis developer in the United States (UTC-4)
Nine years of experience analyzing, visualizing, and data storytelling. 5+ years of experience in Python, SQL, PySpark, Time-series analysis, and Machine Learning techniques. 8+ years of statistical analysis in R. 6+ years of experience coding in JavaScript. 6+ of experience as an educator. 2 years of experience as a graduate teaching assistant at the university level. Courses taught: Ornithology, Ecology, and Biology. 2 years of experience teaching at the elementary level. Technology teacher and 5th Grade Science and Social Studies teacher. 2+ years of experience as a coding mentor.
Vetted Time Series Analysis developer in the United States (UTC-5)
Dedicated Data Scientist/Applied Research Scientist with over 8 years of experience, with a strong background in causal inference, data science, program evaluation, data analytics, risk analytics, reporting, and predictive modeling. Passionate about leveraging data to drive informed decision-making and skilled in using a variety of methodologies and technologies to extract actionable insights from complex datasets.
Vetted Time Series Analysis developer in Canada (UTC-5)
Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.
Vetted Time Series Analysis developer in Austria (UTC+2)
I am a **fullstack developer** based in Vienna, Austria with more than eight years of experience in software development and have designed, built and shipped multiple applications. I am specialized on **data science, machine learning and analytics** applications. Please feel free to check out my personal website [viktorludwig.com](https://viktorludwig.com/).
Vetted Time Series Analysis 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.
Vetted Time Series Analysis developer in the United Arab Emirates (UTC+4)
Ph.D. physicist with 9 years of affiliation with CERN, specializing in experimental research and data analysis. Proficient in advanced statistical methods and experience in applying machine learning techniques to extract meaningful insights from complex datasets. Seeking a challenging Data Scientist role to blend physics expertise with data science proficiency.
Vetted Time Series Analysis 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.
Vetted Time Series Analysis developer in Nigeria (UTC+1)
As a full-stack developer with a keen analytical mindset, I combine technical expertise with a commitment to delivering high-impact projects that solve real-world challenges. I bring a balanced skill set that spans from backend development and data analysis to intuitive front-end design, allowing me to approach projects holistically and tackle complex issues with precision. In my recent projects, I led the development of a predictive modeling system for the English Premier League, where I created a custom API to gather, clean, and normalize historical game data. By applying machine learning algorithms to this data pipeline, I developed predictive insights that not only generated accurate game forecasts but also highlighted player performance trends—proving valuable for users looking to make data-backed predictions. Additionally, I built a school management portal using React, a solution that streamlined data management for educators and provided real-time access to critical information, ultimately enhancing productivity and engagement across school communities. I am deeply motivated by projects that require attention to detail and critical problem-solving, especially those with a data-driven focus. Self-motivated and proactive, I have a track record of quickly adapting to new tools and challenges, always keeping usability and scalability in mind. With each project, I aim to create solutions that are not only efficient but also adaptable to future needs, and I am eager to bring this mindset to new opportunities that prioritize innovation and high-quality development.
Vetted Time Series Analysis developer in India (UTC+6)
I have 8+ years of experience in the IT industry as an AWS, Azure Cloud DevOps Engineer, and Linux Administrator, specializing in automating, building, deploying, and maintaining applications. My expertise includes AWS services such as EC2, S3, VPC, ELB, IAM, CloudWatch, ECS, Lambda, CodeCommit, CodePipeline, and DynamoDB. I have hands-on experience with Chef and Ansible, and I’ve deployed Azure Resource Manager resources and implemented security for web applications on Azure. I’m skilled in automating application deployment from Git repositories onto Docker containers, configuring CI/CD pipelines with Jenkins, and writing Chef recipes. My container management experience includes using Docker, creating local Kubernetes clusters, and deploying applications. I’ve worked extensively with Terraform for infrastructure management and have converted Terraform modules to CloudFormation templates. My scripting expertise includes PowerShell, Python, JSP, HCL, and Shell/Perl scripting. I’ve implemented continuous delivery pipelines with Docker, Jenkins, GitHub, and AWS AMIs, and I’ve deployed services using Chef, Ansible, and Terraform on AWS and Google Compute Cloud. I’m experienced in setting up and managing Kubernetes clusters in Azure, handling installation, configuration, optimization, auto-scaling, and security. I have also deployed Jenkins and Nexus on Docker using Terraform and automated the installation and configuration of web servers like WebSphere, WebLogic, Apache Tomcat, and JBOSS using Ansible, Chef, and Puppet. My Kubernetes expertise includes building HA clusters, multi-cluster setups using Istio, and understanding Kubernetes networking and advanced network policies like Calico and Cilium. Additionally, I’m proficient in deploying Kubernetes clusters using AKS, integrating Azure AD for RBAC, Managed Identity, Container Registry, and connectivity.
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Get startedIn 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 Analysis 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 Analysis developers can help keep your website up-to-date.
To hire a Time Series Analysis 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 Analysis developers effectively and efficiently. Hire full-time Time Series Analysis 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 Analysis 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 Analysis 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 Analysis developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Time Series Analysis 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 Analysis 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 Analysis developers, consider niche platforms like Arc that naturally attract and carefully vet their Time Series Analysis developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Time Series Analysis developers.
Some factors to consider when you hire Time Series Analysis 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 Analysis developers for hire.
Writing a good Time Series Analysis developer job description is crucial in helping you hire Time Series Analysis 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 Analysis 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 Analysis developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Time Series Analysis developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Analysis 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 Analysis developers to keep up with evolving technology and requirements.
You can find a variety of Time Series Analysis 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 Analysis developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Time Series Analysis 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Time Series Analysis developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Time Series Analysis 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 Analysis developers.
Every Time Series Analysis 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 Analysis 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Time Series Analysis 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 Analysis 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 Analysis developers, you can rest assured that all remote Time Series Analysis developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Time Series Analysis developers before we present them to you. As such, all the remote Time Series Analysis 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 Analysis developer in 72 hours, or find a full-time Time Series Analysis 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 Analysis developers.
Depending on the freelance developer job board you use, freelance remote Time Series Analysis developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Time Series Analysis 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 Analysis 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.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software 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 Analysis 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 Analysis developers, check out our FAQs page.