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Top remote data scientists and experts available to hire:

Remote data scientist - Mauro S.
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Mauro S.

Vetted data scientist in Canada (UTC-4)

AI Developer who built and tested language models deployed in AI applications. Architecting the first autonomous multi-agent system that transforms traditional workflows in building performance engineering. This system replaces engineering decisions with an agentic AI network that analyzes designs, optimizes system selections, and calculates chain reaction effects on energy usage and costs. Using Python, LangGraph, LangChain, and MongoDB. Master of Science in Mechanical Engineering.

Remote data scientist - Glen R.
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Glen R.

Vetted data scientist in Canada (UTC-4)

Dynamic Technical Director and AI Specialist with a robust foundation in AItechnologies such as LLMs, Agents, Machine Learning and rapid AI collaborative development. Offering a unique blend of creative and technical expertise in game development, AI-driven projects, and interactive media. Renowned for pioneering AI solutions in video creation, bulk email analysis, AI-powered storytelling, and ecommerce optimization, alongside a storied career delivering top-tier games, VR experiences, and digital content for major clients including Disney, MTV, Toyota, Sony, Honda, Mini, Heineken, Nike, Ford, and Discovery among others. Internationally Published Author of over 10 game-development books and a frequent speaker at various conferences worldwide, proving visionary thought-leadership in the field. Skilled in leveraging virtual and augmented reality technology, tools, and platforms to lead, manage, and train personnel on SOPs and industry best practices. Skilled at synthesizing AI and gaming technologies to design, develop, and deploy sophisticated systems and mechanics, fulfilling and exceeding project objectives and client requirements. Demonstrates exceptional capability in managing projects, timelines, budgets, and cross-functional teams, ensuring the delivery of high-quality, impactful products. A seasoned composer and music producer with several years of experience writing music for orchestras and ventures such as the Oprah Winfrey Show. Adept at collaborating with cross-functional teams, including artists, C-suite, designers, producers, and QA testers, to deliver exceptional gaming experiences that exceed client expectations.

Remote data scientist - Mahamadou K.
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Mahamadou K.

Vetted data scientist in Canada (UTC-4)

**Solutions Architect, Lead AI & Soft Eng. **Leading Software Engineering team: Technical expertise, coaching Architect, Design, Develop and maintain scalable, efficient and reliable data pipelines and software – Machine Learning & Digital Twin projects Collaborate with other teams to understand data requirements and implement solutions – Development & Deployment of AI Models

Remote data scientist - Frederick Z.
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Frederick Z.

Vetted data scientist in Canada (UTC-4)

Having spent over a decade as a cyber security professional, in various technical roles, I now work as a freelancer offering generative artificial intelligence (GenAI), machine learning and data science services to clients across many industries. Whether you are looking to build projects using large language models (LLM) or neural network-based classification systems or conduct predictive modelling, my goal is to help you make better data-driven, evidence-based business decisions. A geek at heart and an eternal student, I am a firm believer that science and technology can provide solutions to all problems. From pharmacology to environmental sustainability to the loneliness epidemic, AI and automation have the potential to eradicate the major ills plaguing the world. Yes, I, for one, unironically welcome our robot overlords! When I am away from the keyboard, I like to dabble in Go, a game I was inspired to learn after the release of the AlphaGo documentary. I also enjoy nature walks and discovering new cuisines. If you are interested in a conversation on how we can work together to engage your data for your business needs, please do reach out with a quick hello! E-mail: fzhang@exoins.com

data scientists developer - Frederick Z.'s portfolio image
Remote data scientist - Olawale O.
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Olawale O.

Vetted data scientist in Canada (UTC-7)

I'm a Machine Learning Engineer and I'm generally interested in building deep learning-based algorithms.

Remote data scientist - Xavier U.
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Xavier U.

Vetted data scientist in Canada (UTC-7)

As a skilled data engineer and passionate data science enthusiast, I take a practical approach to problem-solving and have a natural curiosity for discovering solutions. With over 15 years of experience in data analysis, visualization, and automation development, I possess a strong foundation in the field. My career initially started in the electronics and embedded/firmware programming industry, specifically within the cellular sector. After gaining valuable experience in startups and large corporations, I transitioned towards data roles. Throughout my professional journey, I have consistently focused on acquiring high-quality data, both in terms of quantity and quality. To achieve this, I have frequently leveraged my expertise in Excel VBA and Python to develop custom automation solutions. Additionally, I have honed my managerial skills by leading a team of five engineers, defining products, providing expert advice to internal teams, and supporting customers on current and legacy products. My recent experience includes working with cloud services, databases, Snowflake, Tableau, Tableau Server, and Python.

Remote data scientist - Simon S.
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Simon S.

Vetted data scientist in Canada (UTC-6)

Over the past 7 years, I've accumulated a wide range of professional coding experience—from full-stack web development to AI, machine learning, data science, data engineering, and mobile app development. My deep expertise with the subtleties of Python and TypeScript, combined with my knowledge of recent AI tools, enables me to write efficient code quickly that solves real problems. With an MBA and experience as a startup co-founder, I efficiently blend technical expertise with business objectives. I'm particularly interested in working on data engineering, data science, and AI projects, where I can leverage my skills to drive meaningful impact.

Remote data scientist - Srilekha P.
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Srilekha P.

Vetted data scientist in Canada (UTC-7)

An enthusiastic Data Scientist with experience in Machine Learning, Natural Language Processing, Computer Vision, and Cloud Services. 6 years of work experience in Data Science, Site Reliability Engineering, and Web Development. I believe that data can create wonders !!!

Remote data scientist - Heriberto B.
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Heriberto B.

Vetted data scientist in Canada (UTC-3)

I am a Data Scientist with 6+ years of experience in AI/ML model development for various sectors. Skilled in statistical analysis, Python programming, and effective communication with stakeholders.

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Why clients hire data scientists with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a data scientist?

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 data scientist, 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 data scientists can help keep your website up-to-date.

How do I hire data scientists?

To hire a data scientist, 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 data scientists effectively and efficiently. Hire full-time data scientists 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 data scientists 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 data scientists.

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 data scientists for your company, and let Arc handle the logistics.

Where do I hire the best remote data scientists?

There are two types of platforms you can hire data scientists 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 data scientists 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 data scientists, consider niche platforms like Arc that naturally attract and carefully vet their data scientists for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote data scientists.

Some factors to consider when you hire data scientists 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 data scientists for hire.

How do I write a data scientist job description?

Writing a good data scientist job description is crucial in helping you hire data scientists 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 data scientist 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 data scientists, read our Engineer Job Description Guide & Templates.

What skills should I look for in a data scientist?

The top five technical skills data scientists 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 data scientists 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 data scientists to keep up with evolving technology and requirements.

What kinds of data scientists are available for hire through Arc?

You can find a variety of data scientists for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance data scientists, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote data scientists 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 data scientists for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring data scientists?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled data scientists with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire data scientists.

Every data scientist 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 data scientist 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.

How does Arc vet a data scientist's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted data scientist 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 data scientists, 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 data scientists, you can rest assured that all remote data scientists have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find data scientists on Arc?

Arc pre-screens all of our remote data scientists before we present them to you. As such, all the remote data scientists 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 data scientist in 72 hours, or find a full-time data scientist 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 data scientists.

How much does a freelance data scientist charge per hour?

Depending on the freelance developer job board you use, freelance remote data scientists' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find data scientists 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 data scientists 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.

How much does it cost to hire a full time data scientist?

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 data scientist’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 data scientists, check out our FAQs page.

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