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Vetted Data Science developer in Uruguay (UTC-3)
Enthusiastic Data scientist with +3 years of hands-on experience in the research and development of AI-based applications.
Vetted Data Science developer in Uruguay (UTC-3)
A Fulbright Scholar, versatile and results-oriented engineer, with varied professional experience in several subdisciplines of engineering. With experience in successfully creating, from concept to production, data-driven software suited for the civil engineering industry.
Data Science developer in Uruguay (UTC-3)
I worked more than 16 years in big companies and R&D insitiutes as Samsung, NEC. I worked on advanced technologies, including AI, computer vision, I have more than 10 years of experience in project management and project architect I love to teach and encorage poeple for making a great things with SW
Vetted Data Science developer in Uruguay (UTC-3)
I've spent over a decade helping organizations shine by engaging with the developer community. I love public speaking and sharing my thoughts through blogs to make complex technical ideas easy to understand. You could say I was doing DevRel before it even had a name, thanks to my background as a Software Engineering tutor and professor at Universidad ORT Uruguay. I'm passionate about coding and plan to keep at it. Over the last 20 years, I've built high-performance solutions both in the cloud and on-premise using i.e. AWS, GCP, NGINX, PM2, C# and Redis. I've worked with backend technologies like JavaScript, Ruby, .Net, and Java; managed databases including MySQL, PostgreSQL, and NoSQL; and used web frameworks such as [ASP.NET](http://asp.net/) MVC and Ruby on Rails. Also, throughout my career I've managed projects using both agile methods like Scrum and XP, as well as more traditional approaches. From gathering requirements to delivering top-notch products, I've been involved in every step of the development process. I also have experience guiding students in their capstone projects, encouraging self-managed teams and collective growth. Lastly, I'm deeply interested in connecting scientific research with practical software development. That's why I pursued a Master's in Engineering focused on Software Engineering research at ORT Uruguay University. WEBSITE: [https://dariomac.com/](https://dariomac.com/)
Vetted Data Science developer in Uruguay (UTC-3)
Experienced and proactive **Data Analytics Engineer** with a strong background in **process analysis** and **data analysis**. Skilled in team leadership, process improvement, and systems integration.
Vetted Data Science developer in Uruguay (UTC-3)
_As a data analyst my approach to data analysis extends beyond the conventional boundaries. While my experience aligns with the fundamental aspects of data analysis, I am driven by the prospect of creating significant future impact. Throughout my career, I've consistently gone beyond the expected, leveraging my expertise in Python, databases, and business intelligence to not only meet but exceed key performance indicators (KPIs)._ _What sets me apart is my ability to connect unique skills and experiences to generate value that goes beyond the typical hire. At previous organizations, I've demonstrated this by identifying innovative solutions and implementing data-driven strategies that have not only maintained but significantly enhanced outcomes. I believe in moving forward and elevating the status quo, always looking for opportunities to improve and optimize processes._ _As a forward-thinking data analyst, my approach to data analysis extends beyond the conventional. With a strong foundation in Python, databases, and business intelligence, I consistently surpass key performance indicators (KPIs) to drive remarkable outcomes. What sets me apart is my ability to seamlessly blend unique skills and experiences, creating value that transcends the ordinary. I've honed this talent by crafting innovative solutions and executing data-driven strategies in prior roles, resulting in substantial improvements. I'm not just a data analyst; I'm your strategic partner for future success. Together, we can elevate the status quo, stand out from the competition, and achieve remarkable results._
Vetted Data Science developer in Uruguay (UTC-3)
Information Technology Analyst with more than five years of experience. Specialized in Java applications using Spring. Always looking for new opportunities and challenges to foster continuous growth. A proactive, self-driven person who is ready to assist other team members. Strong adaptability and flexibility skills.
Vetted Data Science developer in Uruguay (UTC-3)
I am a Senior Engineer with experience in React Native, Android development, and team leadership. Skilled in architecture, legacy code, and optimization, with a strong background in mobile development and experience jumping through the stack when necessary (from Terraform to the DOM).
Vetted Data Science developer in Uruguay (UTC-3)
Mobile developer with over 6 years of experience, passionate about crafting performant and elegant applications. I specialize in iOS development and leverage Python as a versatile, multi-paradigm language. Known for my strong problem-solving abilities and attention to detail, I excel at collaborating with cross-functional teams and delivering high-quality solutions. In addition to my iOS proficiency, I have a keen interest in the broader mobile ecosystem, with a particular focus on Flutter and React Native. Committed to continuous learning and growth, I strive to stay updated with the latest industry trends and cutting-edge technologies.
Vetted Data Science developer in Uruguay (UTC-3)
I have 20 years of experience in software development, architecture, and design for highly scalable and big data systems. Expert in functional programming. Experienced in requirements analysis, architectural design, development, and optimization of application systems in various domains like financial services, insurance, and retail.
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Ready to hire your ideal Data Science developers?
Get startedArc offers pre-vetted remote software 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 Data Science 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.