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in the United Arab Emirates

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Top Data Science developers available to hire:

Data Science developers in the United Arab Emirates - Ankit M.
Ankit M.

Data Science developer in the United Arab Emirates (UTC+4)

An acccomplished AI leader with proven experience in pioneering data science incubators and building scalable AI/ML solutions in Fortune 500 companies. Adept in steering the AI and Generative AI (GenAI) strategy, from use-case discovery to responsible implementation and deployment. Experience in building global data science teams including hiring, mentoring, and fostering technical excellence. Deep practical knowledge of the full life cycle of AI and GenAI, with proficiency in communicating complex AI concepts from developers to executives.

Data Science developers in the United Arab Emirates - Marco V.
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Marco V.

Vetted Data Science developer in the United Arab Emirates (UTC+4)

Senior Tech Director with over 16 years' experience in designing, implementing and releasing data/AI solutions in both permanent and contract (full stack) roles. I expertly bridge stakeholder objectives with technical solutions, focusing on hands-on execution from architecture to implementation. I ensure data projects deliver real-world results with a keen eye for business alignment. I have solid experience working with machine learning technologies, with a focus on LLM (OpenAI, Mistral, etc ) and more traditional AI (TensorFlow, Keras, CNN). Ability to lead teams and work independently under demanding time constraints, from back-end to front-end. Master of Science (MSc) in Computer Science Engineering

Data Science developers in the United Arab Emirates - Omar A.
Omar A.

Data Science developer in the United Arab Emirates (UTC+4)

A Data scientist and Deep Learning Engineer who is seeking to work in a challenging and interesting environment that will encourage him to apply his experience in real-world problems. passionate about cutting-edge technology with previous experience in Machine learning and Deep learning, always eager to learn new skills.

Data Science developers in the United Arab Emirates - Muhammad W.
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Muhammad W.

Vetted Data Science developer in the United Arab Emirates (UTC+4)

Ph.D. physicist with 9 years of affiliation with CERN, specializing in experimental research and data analysis. Proficient in advanced statistical methods and experience in applying machine learning techniques to extract meaningful insights from complex datasets. Seeking a challenging Data Scientist role to blend physics expertise with data science proficiency.

Data Science developers in the United Arab Emirates - Amine B.
Amine B.

Data Science developer in the United Arab Emirates (UTC+4)

Accomplished Senior Data Scientist with over 6 years of experience in leveraging data to drive product innovation and business growth. Expert in designing and implementing A/B tests and enhancing data-driven decision-making processes. Proficient in Python, SQL, and machine learning with foundation in NLP and language models. Effective communicator known for translating complex data insights into strategic actions across high-growth environments.

Data Science developers in the United Arab Emirates - Ludovic K.
Ludovic K.

Data Science developer in the United Arab Emirates (UTC+4)

I am a Senior Data Scientist and Machine Learning Engineer with over 6 years of experience in the field of machine learning. My professional background has allowed me to gain diverse expertise across various sectors such as social media, healthcare, legal, and more, working with a range of companies, from innovative startups to large organizations like Essilor and Microsoft. My adaptability and versatility are also demonstrated by my collaborations with companies based in different countries, including Japan, the United Kingdom, the United States, and France. My expertise is primarily focused on machine learning and deep learning, with strong skills in natural language processing (NLP), computer vision, and audio processing. Kaggler enthusiast, Grand Master Competition : https://www.kaggle.com/ludovick

Data Science developers in the United Arab Emirates - maria M.
maria M.

Data Science developer in the United Arab Emirates (UTC+4)

May-2015–Present Software Developer, Comfort Technologies • Developing and implementing multi-relational data mining algorithm for pattern discovery. This will also support temporal querying, improved statistical aggregation and data visualization. July-2013-Apr-2015 Android, web Developer, ifish Technologies,Islamabad,Pakistan Led several inter-team and cross-team brainstorming sessions and evaluated various approaches to managed card provisioning. Created requirement and specification document, design, architecture and dependency model for provisioning managed card and led the team for the implementation and verification.

Data Science developers in the United Arab Emirates - Ali G.
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Ali G.

Vetted Data Science developer in the United Arab Emirates (UTC+3)

I'm a full-stack developer with 10 years of experience in various startups. I'm looking for a new startup to join and work with a great team to use all of my abilities to create something great. I can work in both MERN and MEVN stacks or as a front-end or back-end developer. I have strong typescript and AWS skills too. If you have an empty sit on your team, I would be very happy to compete with your other candidates in the recruitment process.

Data Science developers in the United Arab Emirates - Pankaj S.
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Pankaj S.

Vetted Data Science developer in the United Arab Emirates (UTC+4)

Professional QA specialist with solid background in ensuring software quality and reliability. Known for strong leadership in team collaboration and consistently delivering results. Skilled in test planning, automation, and defect tracking, adaptable to changing project needs. Respected for effective communication, problem-solving abilities, and passion for continuous improvement.

Data Science developers in the United Arab Emirates - Philip K.
Philip K.

Data Science developer in the United Arab Emirates (UTC+4)

I am an full-stack software engineer **focused on mobile** and **web applications**, always looking to further expand my technical and people skills. With over 🔟 **years of professional consulting and hands-on software engineering experience** I have never lost my entrepreneurial spirit and product oriented drive. In recent years, beyond deep technical contributions, I have found fulfillment in mentorship and higher level architectural contributions. Most recently I did so as the **Lead Software Engineer** for the iOS platform at Geneva, where I lead the mobile app engineering practice consisting of 7 engineers. Growing up **trilingual** (German🇩🇪, Polish🇵🇱, and English🇺🇸), and having lived on multiple continents, I have had the opportunity to developed strong cultural sensibilities and business acumen. For the past eight years, I have worked both on-site and remotely out of Munich, Berlin, Warsaw, and now the UAE. While I tend to bounce between these locations, **🕚 I prefer to work EST business hours in order to best overlap with my client's schedule**. I have never found it a challenge to reconcile multiple timezones – on the contrary, I have found this to be an asset I value quite highly as it makes it easier for me to find flow. I invite you to take a look at my open source work on GitHub to get a feel for the quality of my work. **Core Competencies:** Consulting, Engagement Management, Software Project Management, SDLC, Native Mobile Apps, Full-Stack Engineering, Backend Engineering, Swift, Objective-C, C/C++, C, Kotlin, Python, SQL, JavaScript, TypeScript, Elixir, Ruby, Go and everyone's secret favorite: Rust.

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FAQs

Why hire a Data Science developer?

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 Science 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 Data Science developers can help keep your website up-to-date.

How do I hire Data Science developers?

To hire a Data Science 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 Data Science developers effectively and efficiently. Hire full-time Data Science 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 Data Science 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 Data Science 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 Data Science developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data Science developers?

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

Some factors to consider when you hire Data Science 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 Data Science developers for hire.

How do I write a Data Science developer job description?

Writing a good Data Science developer job description is crucial in helping you hire Data Science 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 Data Science 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 Data Science developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Data Science developer?

The top five technical skills Data Science 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 Data Science 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 Data Science developers to keep up with evolving technology and requirements.

What kinds of Data Science developers are available for hire through Arc?

You can find a variety of Data Science developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Science developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Science 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 Data Science developers 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 Science developers?

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

Every Data Science 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 Data Science 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.

How does Arc vet a Data Science developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Science 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 Data Science 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 Data Science developers, you can rest assured that all remote Data Science developers 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 Science developers on Arc?

Arc pre-screens all of our remote Data Science developers before we present them to you. As such, all the remote Data Science 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 Data Science developer in 72 hours, or find a full-time Data Science 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 Data Science developers.

How much does a freelance Data Science developer charge per hour?

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

How much does it cost to hire a full time Data Science developer?

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 Data Science 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 Data Science developers, check out our FAQs page.

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