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Data Science developer in China (UTC+8)
I have a Bachelor's degree in Medical Informatics Engineering and a Master's degree in Computer Science. I have experience as an NLP Engineer, ML Engineer, and Data Scientist. My technical skills include proficiency in various NLP models and pretrained models, as well as knowledge of Knowledge Graph databases. I have worked on projects involving entity alignment, relationship extraction, and building large-scale model platforms. I have also worked on projects in the legal domain, real-time monitoring of social media content, and constructing knowledge graphs for the travel industry. I have published papers and received awards for my work. I am also proficient in English, having passed the CET-6 exam.
Data Science developer in China (UTC+8)
Jason is an exceptional data scientist with a strong background in software engineering, data analytics, data modeling, and project and people management. He has over a decade of immersive experience in these areas and has demonstrated proficiency in applying advanced statistical techniques such as cluster and segmentation analysis, time series analysis, regression and logistic regression analysis. Jason is also highly skilled in a spectrum of technologies including Machine Learning, Python, PostgreSQL, MongoDB, AWS Redshift, Hive, Tableau, Power BI, Perl, Java, and JavaScript. He has a proven track record of transforming data insights into strategic opportunities for product growth and has successfully managed expanding scopes and responsibilities. Jason is known for his remarkable attention to detail, analytical thinking, and proactive problem-solving skills. He is a self-starting professional with excellent communication and presentation abilities in both English and Chinese, fostering effective cross-cultural communication and collaboration.
Vetted Data Science developer in China (UTC+8)
1\. Experienced in Generative AI, LLM, NLP, chatbot, Langchain, AutoGen, RAG, Agent,PGVector and Embedding 2\. Experienced in high concurrency System design, Complex project 3\. Experienced in Python, Java, PHP, FastAPI, Laraval , Django 4\. Experienced in Javascript, React, Vue, Nextjs 5\. Experienced in Mysql , Postgresql, Redis, MongoDB, Memcache , Spark, Kafka 6\. Experienced in DevOps, CI/CD, Docker, Jenkins, Gitlab, Kubernetes, Terraform 7\. Experienced in Scikitlearn, Pytorch, Pandas, Fintech 8\. Experienced in Linux, Unix , AWS, AWS Lambda, RDS, DynamoDB, LNMP, FFMpeg,SonarQube
Data Science developer in China (UTC+8)
I’m a skilled algorithm engineer experienced in developing various algorithms. \- Versatile Algorithm Development 1\. My expertise spans from handling raw sensor data to complex image data, showcasing a deep understanding of data processing and analysis. 2\. My skill set encompasses traditional signal processing, conventional machine learning, and the development of end-to-end deep learning models.
Data Science developer in China (UTC+8)
Senior software engineer with over 6 year experience. Worked on various frontend technologies include JavaScript、typescript、nodejs、 react、vue、angularjs、rxjs etc. Familiar with python, used java, learning rust.
Data Science developer in China (UTC-6)
Hi, my name is Sandy Clark. I am a senior Geographic Information System engineer and have 12 years of experience in GIS development. I've worked for several companies and launched several successful products. Here are my skill sets: - Working with several kinds of map data formats & protocols like shp, geodatabase, kml/kmz, json/geojson, alkis/nas, gml, cad/dxf, OSM(OpenStreetMap), WMS, WMTS, WMS-T, TWMS, WMS-C, WFS, WCS, SLD, OpenDRIVE, WTK and so on. - Editing and analyzing maps using ArcMap, ArcGIS Pro, ArcView, QGIS, JOSM and so on. - Deploying maps using ArcGIS server, GeoServer, MapServer and so on. - Backend scripting using ArcPy, gdal, PyQGIS and so on. - Drawing maps using mapping libraries like Mapbox sdk, ArcGIS javascript API, Google Map API, Openlayers, Leafletjs, Three.js, CesiumJS and so on. - Working with map related databases & APIs & sdks & frameworks & libraries like PostgreSQL/PostGIS, geotools, pgrouting, Osmand, Overpass API, Global Mapper, Pix4Dmapper, OsmSharp, Itinero and so on. - Server & container management (GCP, AWS, Docker, Xampp and so on). - Integrating with scrapping, image processing and machine learning. I am a serious developer and I am fully understanding that requirements, communication, quality and timeline are very important in software development. Detailed requirements and frequent communication, then I will deliver high quality products on time. When my products are used for customers, I feel happiness. I live in China and I want to work remotely. (I can work in any time zone)
Data Science developer in China (UTC-7)
I hold a Master's in Computer Science and a Bachelor's degree. I have experience in software engineering, machine learning, and team management. Proficient in C++, Python, TensorFlow, and PaddlePaddle.
Vetted Data Science developer in China (UTC+8)
I am a Principal Software Engineer with experience in designing systems, transforming complex business processes into highly forward-thinking system designs and implementing business requirements for companies like Michaels Stores, Verizon, and Samsung SDS America.
Data Science developer in China (UTC+8)
I am a male Java Development Engineer with 7 years of experience. Proficient in Java, design patterns, Git, Maven, Docker, MySQL, Spring, and messaging middleware. Experienced in system design and analysis.
Data Science developer in China (UTC+8)
I am 7+ years of Java development experience, proficient in microservices, system design, databases, distributed systems, CI/CD, and DevOps. I am eager to contribute to innovative projects.
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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.