Your trusted source for top remote Time Series Modeling developers, engineers, expert programmers, freelancers, and consultants in Canada — Perfect for startups and enterprises.
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Vetted Time Series Modeling developer in Canada (UTC-4)
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.
Time Series Modeling developer in Canada (UTC-8)
Results-driven Data Scientist with full-stack experience, adept at influencing product and business decisions through data-driven insights. Entrepreneurial mindset, Medical AI enthusiast, thriving in ambiguous environments and building features from concept to deployment. Proven track record of developing and implementing machine learning solutions that drive business value.
Time Series Modeling developer in Canada (UTC-7)
I am a Data Scientist with expertise in data analysis, machine learning, and statistical analysis. I have experience in leading projects in syndromic surveillance, COVID-19 variant forecasting, and urban planning. My educational background includes a Master's in Business Administration and Engineering.
Time Series Modeling developer in Canada (UTC-4)
Accomplished cybersecurity leader with 16 years of diverse industry experience, including retail, telecom, government, finance, BIG4, and Fortune 500 companies. Demonstrated success in leading and managing international cybersecurity projects worth multi-million dollars across Canada and Australia. Core competencies include: • Cloud security architecture, design, and implementations • Management of large security projects and portfolios • Cybersecurity risk management
Vetted Time Series Modeling developer in Canada (UTC-4)
Hacker, tinkerer, curious and always up for exploring and learning new things. I thrive in solving problems, and building systems while keeping up with the highest standard thereof. I have quite some milage in backend software development and data engineering. And I often wear as many hats as necessary to do the job. **Skills:** Python, Scala, Rust, Golang, Java, Bash, SQL, NoSQL, Vertica, ScyllaDB, MongoDB, Teradata, Apache Druid, Kafka, Hadoop, Apache Spark, Apache Beam, Amazon Web Services, Google Cloud Platform, Grafana, Prometheus, Datadog, Emacs, Vi, Intellij, Git, Mercurial, Github Actions, CircleCI, Linux, FreeBSD
Vetted Time Series Modeling developer in Canada (UTC-4)
AVAILABLE FOR LONG TERM MENTORING Total experience: 9 years. Tech stack: Golang, C/C++, Typescript, Python, React, React Native, Docker, GCP, AWS, Terraform, bash, git, OpenAPI, RESTful APIs, microservices. Education: Computer Science from University of Waterloo (Canada) Experiences: 2016-2021: Cisco Systems Inc. Designed and implemented software for Cisco's flagship routers and enterprise switches. Worked with protocols such as BGP, EVPN, VPN, PWHE, MPLS, IPv4, IPv6, LISP, BFD, Openflow, etc. 2021-2023: Worked with startup company Synctera to help them building Banking-as-a-Service platform. I am responsible for designing and implementing public backend APIs in Go and OpenAPI spec. 2023-current: Independent contractor helping startups to build web products. Currently working with education and fintech firms.
Vetted Time Series Modeling developer in Canada (UTC-4)
I have over 15 years of experience in data conversion, including 4 end-to-end implementations in S4HANA. I have played pivotal roles in data cleansing and conversion for organizations such as Liberty Utilities, the City of Kitchener, Tata Power, and NDPL, working extensively with ETL tools and creating effective strategies. In addition to my expertise in data conversion, I have also taken on roles in EAM, MM, and ISU device management, contributing to my 23 years of total experience. This functional knowledge gives me an added advantage and a deeper understanding of business processes. The tools I’ve used in my data roles include Syniti, Migration Cockpit, BODS, SLT, SDI, Emigall, and Information Steward.
Vetted Time Series Modeling developer in Canada (UTC-5)
* Developed and optimized data pipelines and ETL processes using Azure Databricks and Python. * Designed scalable data solutions, improving data accuracy and reducing processing time by 30%. * Collaborated with clients to deliver customized data analytics and reporting solutions on time.
Vetted Time Series Modeling developer in Canada (UTC-4)
Data-driven professional with over three years of experience in cybersecurity at Quick Heal Technologies. Skilled in Java, Python, and data analysis. Holds a master’s degree in software engineering from Concordia University, Montreal. Core Skills: Collaboration, Organization, Teamwork, Consistency, Analytical, Conflict Resolution.
Vetted Time Series Modeling developer in Canada (UTC-6)
Data Engineer with over 15 years of experience within the Upstream Oil and Gas industry. Expertise in designing and implementing data architectures and governance frameworks to manage the complete exploration and production data life cycle, including ingestion, transformation, delivery, data movement and quality assurance.
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Ready to hire your ideal Time Series Modeling developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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.
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.