Your trusted source for top remote Statistics developers — Perfect for startups and enterprises.
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Vetted Statistics developer in the United States (UTC-5)
I'm a machine learning engineer with a degree in computer science (BSc and MSc in computer science, and a PhD in data science/bioinformatics). I have been a Python and R Programmer since 2009 and have experience as a Computer Science lecturer and a Data Scientist. I can help you with data acquisition and wrangling, training, testing Machine Learning models, and deploying them to production. At Meta, harnessing machine learning to enhance the integrity of global social platforms is not just a job—it's a mission. Within the Integrity Measurement team, we're dedicated to identifying and mitigating harmful content, ensuring a safer experience for millions of users on Facebook and Instagram. Our work is pivotal in shaping the digital landscape through ethical AI practices. Leveraging over five years of bioinformatics and software engineering expertise, the focus has shifted from understanding neurological diseases to making social media a secure environment. My background in applying machine learning to genomic data enables our team to develop innovative solutions that measure and reduce online risks. Fluent in Python and driven by data, we're committed to advancing the field of online safety. Let's talk!
Vetted Statistics developer in the United States (UTC-4)
Machine Learning Engineer and Data Scientist with 9 years of experience in the field and a passion for enabling speed, scale, and quick feedback loops for data practitioners. My experience varies across designing and deploying infrastructure, building robust data pipelines, creating systems for developing, deploying, and monitoring models, and leading cross-functional teams in designing Machine Learning systems for production.
Vetted Statistics developer in the United States (UTC-6)
I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.
Vetted Statistics developer in the United States (UTC-5)
I'm a software engineer and full-stack developer focused on UX and web accessibility. I'm knowledgeable in backend languages like Node.js, and in front-end design with UI frameworks like React. One of my core values is personal autonomy, meaning I believe that everyone has the capacity to make independent decisions and pursue their chosen path in life. In a professional context, I display this by unapologetically showing up as my authentic self.
Vetted Statistics developer in the United Kingdom
Hello! My name is Basile. I am a senior data scientist and passionate about statistics and machine learning. I graduated from a PhD at the University of Sheffield in the UK. Having an extensive experience in tutoring and consulting at the University and in many industries, I can receive short and long-term projects in data science and machine learning. I can work with R, Python, SQL, SPSS and Excel.
Vetted Statistics developer in the United Kingdom
Over the past 5 years as a Machine learning Engineer and Data Scientist, I have been implementing scalable machine learning models and end-to-end pipelines to production from document similarity for legal(increase our user retention rate to over 80%), credit default analysis for over 400,000 customers, customer segmentation for 600,000 customers, Dynamic embedding topic modelling for over 40,000 bills in developing countries, Custom NER pipeline used by over 3000 customers, Liveness detection, Transaction similarity, transaction classifiers, Speech to text model using Transformer and a lot more I was praised for these results and I am convinced that my expertise, resistance to stress and ability to work overtime will be an asset to your development team.
Vetted Statistics developer in the United Kingdom (UTC+1)
Generalist with experience on all aspects of data science from formal academic research to product deployment; I have a strong background in mathematical statistics and the fundamentals of ML, as well as 3+ years of software engineering experience in industry helping companies create new products and insights from their data. I am also a self-learner always keeping up to date with innovations in the data science and MLOps spaces.
Vetted Statistics developer in Canada (UTC-4)
Highly motivated, full-stack developer with a proven track record in developing intricate data-driven products. Successfully delivered highly complex data-driven APIs featuring advanced Geographic Information Systems, providing comprehensive data visualization of Canadian addresses and subdivisions, offering valuable insights to client side. Hands on data analysis experience with a passion for using data driven insights for informed decisions. Prepared to contribute analytical skills, a problem-solving mindset with a thirst for knowledge, adaptability, and knack for learning on the fly, ability to produce solutions for complex products, and driven to providing a data experience facilitating valuable insights to the client.
Vetted Statistics developer in the United Kingdom (UTC+1)
Data scientist/developer with 15+ years’ experience in the algorithmic hedge fund industry looking to apply cutting edge statistical techniques in ML and AI. Deep background in implementation, deployment and monitoring of statistical learning systems. Motivated and personable candidate with proven ability to work either alone or as part of a larger team.
Vetted Statistics developer in the United Kingdom
I am an experienced data scientist with a background in R&D and a particular interest in Natural Language Processing. I aim to enable clients to innovate.
Meet Statistics developers who are fully vetted for domain expertise and English fluency.
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Ready to hire your ideal Statistics developers?
Get startedArc helps you build your team with our network of full-time and freelance Statistics 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 Statistics 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 Statistics developers can help keep your website up-to-date.
To hire a Statistics 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 Statistics developers effectively and efficiently. Hire full-time Statistics 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 Statistics 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 Statistics 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 Statistics developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Statistics 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 Statistics 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 Statistics developers, consider niche platforms like Arc that naturally attract and carefully vet their Statistics developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Statistics developers.
Some factors to consider when you hire Statistics 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 Statistics developers for hire.
Writing a good Statistics developer job description is crucial in helping you hire Statistics 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 Statistics 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 Statistics developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Statistics 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 Statistics 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 Statistics developers to keep up with evolving technology and requirements.
You can find a variety of Statistics developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Statistics developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Statistics 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 Statistics 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 Statistics developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Statistics developers.
Every Statistics 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 Statistics 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 Statistics 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 Statistics 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 Statistics developers, you can rest assured that all remote Statistics 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 Statistics developers before we present them to you. As such, all the remote Statistics 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 Statistics developer in 72 hours, or find a full-time Statistics 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 Statistics developers.
Depending on the freelance developer job board you use, freelance remote Statistics developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Statistics 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 Statistics 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 Statistics 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 Statistics developers, check out our FAQs page.