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Remote Data Scientists
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Top remote data scientists and experts available to hire:

Remote data scientist - VINOD M.
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VINOD M.

Vetted data scientist in the United Kingdom (UTC+1)

An experienced data scientist with extensive technical proficiency and a consulting background gained from diverse projects across medical, retail, consumer, space, and energy domains. My focus lies in applying data science to tackle complex challenges and providing innovative solutions that yield significant business outcomes. I possess a distinctive combination of technical prowess and strategic thinking, underpinned by a robust foundation in fields like statistical analysis, machine learning, deep learning, NLP etc. Currently, I am actively pursuing challenging opportunities to further enhance my technical skills, aiming to contribute to a forward-thinking organization where my expertise can propel development and technological advancement.

Remote data scientist - Shehroze B.
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Shehroze B.

Vetted data scientist in the United Kingdom

I'm a seasoned Machine Learning & AI Engineer with over 7 years of hands-on experience designing and deploying intelligent systems that drive business impact. My expertise spans across traditional machine learning, deep learning, natural language processing, and data science — building everything from predictive models to large-scale recommendation engines.

Remote data scientist - Alper K.
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Alper K.

Vetted data scientist in the United Kingdom

Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!

Remote data scientist - Alex T.
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Alex T.

Vetted data scientist in the United Kingdom (UTC+1)

Data scientist/developer with 15+ years’ experience in the algorithmic hedge fund industry looking to apply cutting edge statistical techniques in ML and AI. Deep background in implementation, deployment and monitoring of statistical learning systems. Motivated and personable candidate with proven ability to work either alone or as part of a larger team.

Remote data scientist - Ilija I.
Ilija I.

Remote data scientist in the United Kingdom (UTC+1)

Ilija Ilievski | Machine Learning Researcher at University of Oxford | Agentic AI & Interdisciplinary Innovation I am a Machine Learning Researcher at the University of Oxford, where I develop cutting-edge models to solve complex problems at the intersection of immunology and AI. My core focus is on the frontier of Agentic AI, building autonomous systems that can reason, learn, and collaborate to drive scientific discovery and real-world impact. My foundation in AI was forged at the National University of Singapore (NUS), a top-10 globally ranked university, where I earned a prestigious NGS Scholarship (awarded to the top 1% of graduate students) and completed my PhD in Deep Learning. This was followed by a Senior Research Fellowship at NUS, where I led projects in high-dimensional optimization. I have a consistent record of publishing in the most competitive and influential AI conferences, including NeurIPS, AAAI, IJCAI, CVPR, and ICML. My research, cited over 500 times, has delivered novel solutions in hyperparameter optimization, multimodal learning, and natural language processing. I was also the first-place winner among single participants in the IEEE CVPR Visual Question Answering Challenge. Beyond academia, I have applied my expertise in industry. As Head of Research at Neuri Pte Ltd, I led a team in applying machine learning to optimize FX portfolios for a multi-billion dollar alternative investment management firm, where our methods generated significant alpha returns. My experience also includes freelance full-stack development, where I designed cloud-based systems and developed a patent-pending algorithm for a mobile application. My key areas of expertise include: * Agentic AI & Autonomous Systems * Efficient Deep Learning & Hyperparameter Optimization * Interdisciplinary Research (Immunology, Finance, Urban Development) * Multimodal Learning (Text, Image, Sequential Data) * Full-Stack ML System Design & Implementation How I can help your business: * Develop and Implement Agentic AI Solutions: Automate complex workflows, create intelligent virtual assistants, and build systems that can independently reason and execute tasks. * Optimize Your Machine Learning Models: Leverage my expertise in hyperparameter optimization and efficient deep learning to make your AI models faster, more accurate, and more cost-effective. * Solve Interdisciplinary Challenges: Apply my experience in diverse fields like finance, immunology, and software engineering to bring a fresh, innovative perspective to your most pressing problems. * Provide Strategic AI Guidance: Offer insights into the latest AI trends and help you develop a roadmap for integrating advanced AI into your business strategy. I am passionate about collaborating on high-impact projects and delivering measurable results. Let's discuss how my expertise can help you achieve your goals.

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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.