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Data Science developer in Australia (UTC+10)
I'm an engineer, data scientist, and researcher with 8+ years experience in industry, government, and academia. I help people and companies to solve problems connecting the dots using analysis, modelling, implementations, and visualisations with focus on people, communication, and teamwork. I use different tools based on data analysis, machine learning, and artificial intelligence and I am always learning about new tech to bring new options to different fields.
Data Science developer in Australia (UTC+11)
Data scientist and insights engineer with 10+ years of experience in delivering executive insights from large and complex data sets to drive financial, operational, and customer experience benefits. Highly skilled across the full data to insight lifecycle from data sourcing, storage, and management; through to processing, analysis, insight development, and insight communication. Experienced with key concepts in maximizing value from large data sets, such as advanced statistical analysis, machine learning, and AI. Expert level user of a range of tools in data management and insights such as Pycaret, TensorFlow, Power BI, Tableau, Hadoop, Spark, Databricks, SQL server, Teradata, Oracle, R, RStudio, Python, and advanced Excel.
Data Science developer in Australia (UTC+10)
I am an experienced Business Analyst and Software Engineer with over 10 years of expertise in identifying customer needs and developing software solutions using agile software development and SCRUM methodology. My research interests and domain expertise lie in the field of investment and financial markets. Moreover, I have the added experience of teaching at a university while working in the industry.
Vetted Data Science developer in Australia (UTC+11)
With 8 years of coding experience and a high interest in providing a high level of service, I excel in problem solving and matching requirements to get a projects finished to high standards.
Vetted Data Science developer in Australia (UTC+11)
I'm a Machine Learning Engineer with 5+ years of experience in developing ML-based software for video surveillance cameras. I enjoy implementing research ideas and incorporating them into practical applications. I advocate for highly readable and self-contained code. I love reading about designing scalable ML systems, developing novel ML models & techniques, and releasing models to production. In my free time, I work with clients globally for their content requirements in AI/ML domain. Technical Skills: ⇨ Data Science: Machine Learning, Statistics, Computer Vision, Natural Language Processing, Deep Learning, ⇨ Data Tools: PyTorch, Spark, TensorFlow, Python Notebooks, Graphlab. ⇨ Languages: Python, C++, SQL. ⇨ Database Systems: MySQL, PostgreSQL. ⇨ Technologies: AWS, Docker, Azure DevOps, Unit Testing, Git, Bash.
Vetted Data Science developer in Australia (UTC+10)
Hi, I’m Jordy, an Acoustical Engineer from the UK. I’m currently working as a freelance Audio (Research) Engineer and Python Developer. Primarily I work for a hearing technology startup based in Berlin. Previously I have been a volunteer teacher of an Introduction to Python programme at ReDI school (see more below). I also have a passion for SCUBA diving, and am a PADI Open Water SCUBA Instructor (OWSI). I intend to work professionally in both the Diving and technology industries, side by side. I have positive experience of this in the past. If you’d like to get in touch feel free to contact me on any of the methods given here.
Data Science developer in Australia (UTC+11)
I am an AI Integration Specialist and Full-Stack Developer with over 7 years of experience in Generative AI, Machine Learning, and Computer Vision, specializing in building scalable AI-driven solutions and web applications. I have a proven track record of leading cross-functional teams, optimizing AI models, and delivering impactful projects using technologies like Python, React, and AWS. Passionate about leveraging AI to solve real-world business problems, I combine technical expertise with effective leadership and clear communication to drive innovation and achieve business goals.
Vetted Data Science developer in Australia (UTC+11)
I am an energetic, young academic scholar with the PhD in the field of Computer Vision, Robotics and Intelligent Machines. Involved in research related activities from last 5 years and completed successful tasks for the clients. Currently focus of my services for the clients include 1. All Latex related problems and conversion tasks. 2. Computer Vision and Robotics-Vision related development jobs
Vetted Data Science developer in Australia (UTC+11)
I am a senior engineer with a strong background in machine learning, AI technologies, and AWS infrastructure. Having co-founded a startup, I’ve had the hands-on experience of building and scaling solutions from the ground up. That included finding talent both local and abroad. I’m currently looking for new opportunities in generative AI, AI engineering, or DevOps, where I can bring my expertise in cloud environments, AI/ML integration, and system automation. I’ve worked on production-ready systems using large language models (LLMs) from platforms like OpenAI and AWS Bedrock. I also enjoy solving complex data challenges by blending prompt engineering with PostgreSQL and vector databases. With solid skills in Python, cloud engineering, and frameworks like PyTorch, I’ve collaborated with teams to improve infrastructure and create AI-driven solutions. I’m passionate about building scalable systems that boost efficiency and add real value to users.
Vetted Data Science developer in Australia (UTC+11)
A creative, collaborative, self-motivated and forward-thinking research scientist with 13 years experience of in both academia and industry. A technically sound individual with a strong background in mathematics/computational methods, programming (Python, C, C++, Matlab), deep learning, medical imaging, computer vision and signal processing.
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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.