Your trusted source for top remote Time Series Forecasting developers — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
Vetted Time Series Forecasting 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 Forecasting 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 Forecasting 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 Forecasting developer in the United States (UTC-5)
I am a senior data scientist with expertise in managing large volumes of data and conducting analysis using machine learning and deep learning techniques. I have worked in the finance and technology sectors, holding advanced degrees and diverse skill sets. My experience includes implementing predictive modeling, facilitating conversations on key trends and risks, and devising work plans for teams. I have also generated trading ideas, deployed real-time data gathering systems, and communicated findings to stakeholders. Additionally, I have developed algorithms for facial movement and speech analysis, improved autonomous driving capabilities, and published research in ML/AI. My skills include programming languages such as Python, Matlab, and R, as well as tools like TensorFlow, PyTorch, and AWS.
Vetted Time Series Forecasting developer in Poland (UTC+1)
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 Forecasting developer in Finland (UTC+2)
I am a Senior AI Researcher with a PhD in Machine Learning. I have experience in projects related to NLP, search&recomendation, time series forecasting, online learning, outlier detection. Currently I am a playing coach of an AI team which develops AI and software solutions.
Vetted Time Series Forecasting 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 Forecasting 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.
Vetted Time Series Forecasting 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 Forecasting developer in Nigeria (UTC+1)
A data scientist with 10+ years' experience, including 7 years in collaborative teams, driving data-driven AI solutions across Education, Fintech, Research, and Healthcare. I'm passionate about the convergence of Extended Reality (XR) and data analytics, aiming to enhance immersive experiences with AI. My skills include data analysis, ML, data visualization and process automation, with a focus on actionable insights from complex data. I am currently working on a project which is at the intersection of machine learning and neonatal medicine.
Meet Time Series Forecasting developers who are fully vetted for domain expertise and English fluency.
Stop reviewing 100s of resumes. View Time Series Forecasting developers instantly with HireAI.
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Feel confident hiring Time Series Forecasting developers with hands-on help from our team of expert recruiters.
Share with us your goals, budget, job details, and location preferences.
Connect directly with your best matches, fully vetted and highly responsive.
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Ready to hire your ideal Time Series Forecasting developers?
Get startedArc helps you build your team with our network of full-time and freelance Time Series Forecasting developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 Forecasting 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 Forecasting developers can help keep your website up-to-date.
To hire a Time Series Forecasting 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 Forecasting developers effectively and efficiently. Hire full-time Time Series Forecasting 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 Forecasting 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 Forecasting 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 Forecasting developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Time Series Forecasting 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 Forecasting 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 Forecasting developers, consider niche platforms like Arc that naturally attract and carefully vet their Time Series Forecasting developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Time Series Forecasting developers.
Some factors to consider when you hire Time Series Forecasting 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 Forecasting developers for hire.
Writing a good Time Series Forecasting developer job description is crucial in helping you hire Time Series Forecasting 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 Forecasting 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 Forecasting developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Time Series Forecasting 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 Forecasting 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 Forecasting developers to keep up with evolving technology and requirements.
You can find a variety of Time Series Forecasting 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 Forecasting developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Time Series Forecasting 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 Forecasting 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 Forecasting 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 Forecasting developers.
Every Time Series Forecasting 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 Forecasting 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 Forecasting 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 Forecasting 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 Forecasting developers, you can rest assured that all remote Time Series Forecasting 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 Forecasting developers before we present them to you. As such, all the remote Time Series Forecasting 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 Forecasting developer in 72 hours, or find a full-time Time Series Forecasting 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 Forecasting developers.
Depending on the freelance developer job board you use, freelance remote Time Series Forecasting developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Time Series Forecasting 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 Forecasting 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 Forecasting 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 Forecasting developers, check out our FAQs page.