Arc helps you find and hire top freelance Time Series Forecasting engineers for your jobs. With 483 Time Series Forecasting programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Time Series Forecasting developers and experts that you can trust.
Time Series Forecasting developer in the United States (UTC-4)
3 years of experience in data science. Developed and automated a Sales Channel Dashboard, resulting in a 20% increase in visibility and efficiency within 6 months. Built end-to-end pipeline for Customer Calling Probability Model. Delivered 3 small business consumer buyer models, improving accuracy by 15% in 3 months.
Time Series Forecasting developer in the United States (UTC-4)
I hold PhD in Physics. Worked as a quant/data scientist for 10 years on wall st (ex-Goldman Sachs). Currently working in the energy space. Experienced in a wide range of machine learning applications (expert in time series analysis).
Time Series Forecasting developer in the United Kingdom (UTC+1)
I am a Research Software Engineer with experience in ML model development, CI/CD pipelines, and parallel computing. Skilled in Python, PyTorch, LLM, and time series.
Time Series Forecasting developer in Germany (UTC+2)
Senior Data/Machine Learning Scientist with a strong foundation in scientific research and extensive experience applying machine learning in the business industry. Proven expertise in leading end-to-end projects, building scalable ML systems (including MLOps), and driving impactful business solutions through predictive analytics. Specializes in research, explainable AI and Bayesian modeling, with proficiency in different ML frameworks. Recognized for innovative problem-solving and fast learning.
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/).
Time Series Forecasting 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.
Time Series Forecasting 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 Forecasting developer in India (UTC-8)
**Data Scientist skilled in building and deploying machine learning models (LSTM, Random Forest) to optimize algorithmic trading strategies.** **Boosted returns by 83% and reduced drawdowns by 24% through downtrend and liquidation detection. Strong background in Python, Machine Learning, time series forecasting, sentiment analysis and leveraging stock market data to optimize trading strategies. Proficient in Python, Flask APIs, NumPy, Pandas, and automating backtesting pipelines.**
Time Series Forecasting developer in India (UTC-7)
Experienced in behavorial analytics, working with real time data. Worked on a diverse spectrum of problems such demand forecasting,sales propensity models, Optimisation, Impact assessment, Causal modelling, Supply chain analytics and credit and fraud modelling. Have a hands on experience working with Python and pyspark including the use of relevant libraries and packages as well as platforms such as AzureDB, HIVE and AWS Sagemaker. Have a working knowledge of deep learning models as well. Graduated from IIT Roorkee in July 2019 with a Bachelors in Production and Industrial engineering.
Time Series Forecasting developer in India (UTC+6)
Personable, tenacious and Senior Machine learning Operation(MlOps) engineer with years of experience in AI Research and analyst environments. Exhibits excellent organizational and problem-solving skills. Works well in team environments and displays strong work ethic
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 freelance Time Series Forecasting?
Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
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 developers, 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 engineers 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 developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Time Series Forecasting programmers 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 developer candidates.
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 programmers 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 programmers, 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 programmers, 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 (both for depth in Time Series Forecasting and breadth across the greater domain). 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 engineer 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 programmer in 72 hours, or find a full-time Time Series Forecasting programmer 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.