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Data Science developer in Hong Kong (UTC-8)
I am Data Scientist and Machine Learning Engineer with 6 years of experience in developing and leading data science projects across healthcare and retail fields. I have helped companies, such as TriNetX and Dunnhumby, enhance their data analytics’ ability and modeling capabilities. I am proficient in ML algorithms, statistical analytics and cloud platforms like AWS, Azure. I have hands on experience with databases like Oracle, SQL Server, PostgreSQL and MongoDB.
Data Science developer in Hong Kong (UTC+8)
I am a full stack Senior data scientist with exceptional experience on AI related positions more than 6 years. I well equipped with strong mathematical and technologies background, ranging from classical ML to latest generative AI. As a data scientist, I am seeing technologies as the bright side of the solutions for the difficulties what we face right now and in the future. I am glad to be able being a part of the frontier to this competition.
Data Science developer in Hong Kong (UTC+7)
I have extensive experience in healthcare analytics, leading teams and driving innovation in data science and predictive modeling. I have worked with major companies in the insurance industry, advising on population health metrics and implementing data-driven clinical initiatives. I have also managed data science projects and teams, delivering predictive models and integrating them with marketing strategies. Additionally, I have experience in consulting, specializing in advanced analytics for banking and telecom clients. I have a Master's degree in Public Health with a focus on biostatistics and epidemiology.
Data Science developer in Hong Kong (UTC+8)
Passionate about cloud, blockchain, DeFi, analytics and ML Combining creativity with enthusiasm, initiative taker
Data Science developer in Hong Kong (UTC+8)
I am Hong Kong-based Banking & Finance Professional with 20+ years Asia Pacific & European Experience in Structured Finance, Risk Management and Quantitative Modelling. But first and foremost I am an engineer with 2 engineering degrees with a heavy emphasis on maths, stats, CS (including AI). I am also passionate about AI, Fintech, Insurtech, Machine Learning, Data Science, Quantitative Methods and G.I.S. I run a Consultancy advising my clients to help them make the best use of the latest machine learning technology to optimise their businesses. I come from a Computer Science and Petroleum Engineer background and I have successfully applied my knowledge to Equity Analysis, Project Finance leasing. The thing that binds all of this together is my ability to be creative given highly technical, often conflicting, constraints. If you are interested in well-rounded unsual profiles, I would love to have a chat!
Data Science developer in Hong Kong (UTC+8)
Emerged into the data science industries for more than 3 years, I have worked on different large scale projects that help business users to resolve their pain points with data analytics and artificial intelligence enabled solutions. I am familiar with optimisation and modelling knowledges and able to turn data into actionable insights. Working with both SME and MNC, I get used to communicating effectively, addressing stakeholders’ concerns, and managing data product in the ML development cycle. Specialties Forecast modelling - anomaly detection, time series forecast Optimisation - robust optimisation, operation research Machine perception - natural language processing, computer vision Analytics - dashboard and insight discovery If you have some thoughts in mind, even though the problems may be too abstract to describe, please drop me some texts. We can make it clear and perhaps turn it into an actionable idea!
Data Science developer in Hong Kong (UTC+8)
Computer Science graduate with years of working experience in analyzing large data sets and coming up with data-driven insights and Machine Learning insights for various industries. Plan, design, and manage several projects aligning business goals with technology solutions
Vetted Data Science developer in Hong Kong (UTC+8)
Experienced technologist, quantitative researcher and machine learning engineer skilled in AI/ML, Finance, Math and programming (C++/C#/Java/Python/R).
Data Science developer in Hong Kong (UTC+8)
Results-driven IT executive with extensive experience in Incident and Problem Management, adept at managing teams of support analysts to deliver hands-on support and effective stakeholder management. Recent focus on governance and risk, demonstrating a commitment to driving organizational improvements and risk mitigation strategies. Passionate about fostering a data-driven culture for continuous improvement and skilled in driving a culture shift towards Site Reliability Engineering (SRE). Expertise in business intelligence tools Power BI / Tableau / Alteryx, with a proven track record of delivering well-designed dashboards that capture KPIs and trends, leading to actionable insights and informed decision-making. Known for enthusiasm in increasing business intelligence literacy within teams, driving adoption and proficiency.
Vetted Data Science developer in Hong Kong (UTC+8)
My work is aggregating and identifying patterns in large volumes of data to benefit our customers and business. I have won hackathons for innovative solutions with prize money of up to USD$100,000. Previous work unlocked two InnovateUK grants and I have a patent filed with the USPO. I am currently based in Hong Kong since 2021 and am learning Cantonese."
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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.