Your trusted source for top remote Data Science developers — Perfect for startups and enterprises.
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Vetted Data Science developer in Singapore (UTC+1)
Hi there! I am a Data scientist/ AI engineer with 6 years of experience in natural language processing, big data and Gen AI. ➕My value add to Dun and Bradstreet: Spearheaded and deployed end to end machine learning and AI projects in the Adtech domain generating 1M-6M in revenue on both AWS and Google Cloud Platform. 💻Deployed GenAI project using LLM with Retrieval Automated Generation (RAG) for generating audience segment recommendations on Google Cloud. ✍️Designed system architecture and processed big data (few TB) daily using pyspark and snowflake. Launched demographic precision segments product increasing access to high quality demographic data. Credentials🎓: Graduated from Georgia Institute of Technology with a Masters in Analytics, certified Google Machine Learning Engineer
Vetted Data Science developer in Singapore (UTC+8)
With more than four years in data, I work on the entire engineering process, from collecting to analyzing. Experienced in Python, SQL, and Spark, I build data pipelines and optimize workflows for quality and scalability. Whether in warehousing or modeling, I enjoy solving complex issues creatively. Besides technical expertise, I excel in dynamic settings, collaborating across teams to turn business needs into scalable data solutions
Data Science developer in Singapore (UTC+8)
I have experience leading teams in implementing Data Science initiatives, process improvements, and automation projects. I have expertise in Python, RPA, PowerBI, and Tableau for enhancing operational efficiency and visibility.
Data Science developer in Singapore (UTC+8)
I'm a data scientist with a strong belief in proper software engineering and architecture. I'm fluent (self-taught!) in both Python and Scala, and have taught Python classes from the very basics. I believe in learning something new every day, and that you can always improve.
Vetted Data Science developer in Singapore (UTC+8)
Experienced software engineer focused in back end system, data engineer. I worked 5 years in software development in Europe, Singapore. \- Software engineer, offers from FAANG \- 4y+ experience in backend, data, devops, ML, AI \- Java, Golang, Node.js, SQL, CD/CI, AWS
Vetted Data Science developer in Singapore (UTC+8)
Hi There I am Madhav. Hope you are doing great and life's treating you well. I am a tech Lead with 10 years of experience building scalable and maintainable software systems for SaaS across various industries such as AI, Workflow Orchestration, and Retail Price Intelligence. I am comfortable working in both styles as an "independent contributor" or "working with a team". My previous experience includes building backend systems/APIs in various languages (Ruby, Python, Java) for microservices, creating and managing infrastructure across AWS following Infrastructure as a Code principles, and designing the architecture of various components involved in an AI recruiting assistant. I firmly believe in clear communication and engagement with client to align on measurable deliverables and making sure it's delivered in time with accountability. I am looking forward to hear from you and understand more about this role. I will be happy to understand how can I help you in building the next Big Thing. Talk to you soon. Cheers!
Data Science developer in Singapore (UTC+8)
An adept Machine Learning Engineer with four years of experience, I excel in translating complex problems into scalable solutions. My self-motivation and capacity for self-directed learning are demonstrated through independently mastering advanced machine learning and deep learning courses on Coursera. My work spans innovative algorithm development in diverse contexts, from enhancing TikTok's user engagement through bespoke search algorithms to pioneering state-of-the-art image compression methods at Hikvision, recognized at AAAI. Fluent in both Mandarin and English, I am keen to leverage my robust self-learning ability and versatile technical expertise in a dynamic, fully remote environment that values innovation and problem-solving.
Data Science developer in Singapore (UTC+8)
I'm a tech enthusiast and a passionate engineer with 5 years of experience. I love building software and have previously led a government funded traveltech start-up in Singapore. Have a knack for taking concepts and ideas from theoretical discussions to reality.
Data Science developer in Singapore (UTC+8)
With +9 years as a senior full-stack developer, I seek challenging projects, leadership roles offering collaboration with skilled professionals. I value positive company culture, competitive compensation. Driven by "Creation is my life," I aim to leverage cutting-edge techs, make a significant impact.
Vetted Data Science developer in Singapore (UTC+8)
Tony is an Infrastructure Consultant with seven years of experience in developing applications and cloud infrastructure. In his most recent project, he has worked with technologies such as Kubernetes, Helm, Terraform, Go. He is a AWS Certified Solutions Architect. He is also a BTA Certified Blockchain Solution Architect and Blockchain Security Professional, and currently exploring opportunities in web3 and blockchain industries. His other interest is to continue working with designing large-scale distributed system architecture using cloud platform technologies, specifically with large language model. His other expertise includes front end with React and CSS. Besides, he has hands-on experience in backend development in NodeJs and Spring Boot framework.
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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.