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Vetted Time Series Modeling 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 Modeling developer in the United Kingdom (UTC+8)
Reza is an accomplished CTO and engineer with extensive experience in near-silicon design and problem-solving. He has done stream processing in all kinds of domains, using MQTT-SN, HL7 in healthcare, and mSEED and SEGY in earthquake analysis, utilizing a wide array of databases and programming languages. Passionate about building, Reza has maintained projects such as Ansible, universal-ctags, and QMK, and contributed to the Linux kernel and EDKII (UEFI).
Vetted Time Series Modeling developer in Poland (UTC+2)
An experienced Full-stack software engineer. For +15 years I have worked with international companies (Kayak, Lastminute, Massimodutti), universities and institutions, helping them developing software and marketing tech projects. (see [mejuto.co](http://mejuto.co/))
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**.
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.
Vetted Time Series Modeling developer in India (UTC-7)
Hi,I am an AI Architect with over 9 years of combined professional experience across industry roles and advance postgraduate education in computer vision, natural language processing(LLMs), multimodal AI, and data science. Proficient in Python, R, and related tools, I specialize in predictive modeling and deriving actionable insights from complex datasets to drive informed decision-making. Check out my Portfolio at: [https://bagchigourab.github.io](https://bagchigourab.github.io/)
Remote 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.
Remote Time Series Modeling developer in Taiwan (UTC+8)
I am a Sr. Data Scientist and Tech Lead with expertise in machine learning, time series forecasting, and NLP modeling with an academic foundation in computational social science, with a focus on social network analysis and behavioral economics. I have led the development of production-level applications and implemented scalable big data pipelines. I have also conducted exploratory data analysis and developed Power BI reports. Additionally, I have experience in project management and market research. I have completed professional training in Deep Learning and Business Intelligence Analysis. My programming skills include Python, R, T-SQL, and Scala, and I am proficient in tools such as AWS and Git.
Remote Time Series Modeling developer in the United States (UTC-5)
Dedicated Machine Learning Engineer and Data Analyst with a strong background in financial data analysis and predictive modeling, seeking to leverage my expertise to develop innovative solutions that optimize delivering strategies and enhance decision-making processes.
Remote Time Series Modeling developer in Mexico (UTC-6)
I have extensive experience in machine learning engineering, data science, and teaching. I have worked on various projects involving financial modeling, ML model productionalization, and ML infrastructure.
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Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.