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Vetted Data Science developer in Argentina (UTC-3)
Hi there! I can help you with: 💻 fix your code 📊 data analysis 🔎 statistical analysis for research 🔮 machine learning algorithms 🧠 artificial neural networks ➕ and more. Languages: python, R
Vetted Data Science developer in Argentina (UTC-3)
Senior engineer with master’s degree and years of experience in broad areas. I’ve been delivering solutions and value to companies in projects related to AI, machine learning, embedded systems, software, IoT, and electronics.
Vetted Data Science developer in Argentina (UTC-3)
Professional with a strong quantitative bias, enormous enthusiasm and experience in quantitative finance, data science and development of predictive models for different types of problems in the industry. Complex data analysis using Data Mining, Machine Learning and Big Data Analytics tools and methodologies. Programming languages and databases: R (Advanced), SQL (Advanced +4 years), Python (Advanced +3 years). Strong background in quantitative finance, financial risk management, financial regulation. Design, implementation and deployment of recommendation systems and churn models. Design and implementation of investment portfolios, using quantitative and artificial intelligence tools. Projects: development of a collaborative filtering recommender system for equity investments, portfolio optimization tool."
Vetted Data Science developer in Argentina (UTC-3)
As a driven and results-oriented data scientist, my passion lies in utilizing natural language processing to solve complex problems. With a proven track record of successful project delivery and extensive experience in fast-paced environments, I am confident in my ability to contribute to any organization seeking a quick problem solver
Vetted Data Science developer in Argentina (UTC-3)
Passionate, dedicated, and proactive Data Scientist and Machine Learning Engineer. Hands-on experience in data analysis and machine learning implementation including predictive algorithms, natural language processing, clustering algorithms, and neural networks. Problem solver. Excellent interpersonal and communication skills. Very good organization skills, combined with a love for new challenges.
Vetted Data Science developer in Argentina (UTC-3)
I'am an AI Engineer with experience developing machine learning solutions across diverse industries, including finance, cement manufacturing, banking and immigration services. Worked on computer vision and language-based applications, covering the full ML lifecycle from POC design to model deployment and monitoring in production, both in local and cloud environments (AWS and Azure). I'm passionate about building with LLMs, following best practices to ensure a great user experience and continuous improvement. Recent projects include architecting and developing agents from scratch for document processing and RAG systems for chatbots that answer user questions, using popular frameworks like Langchain and AWS for deployment. I also have experience working with traditional ML systems in production, specially deep learning models for computer vision and image processing, using MLOps to ensure the solutions are robust and scalable when delivered to the final users. I'm eager to face new challenges and continue learning new languages and technologies.
Vetted Data Science developer in Argentina (UTC-3)
A Data Scientist who helps fintech companies to understand their clients and to intervene with actions that will improve client loyalty with the use of artificial intelligence.
Vetted Data Science developer in Argentina (UTC-3)
I am a Data Scientist with experience in developing and productionalizing machine learning solutions for various business areas. I have successfully implemented propensity models and recommender systems to increase cross-selling of company products. Additionally, I have optimized FTEs by implementing automatic PDF processing and extraction, as well as image recognition systems. I am a PhD candidate in Physics with a focus on neutrino interactions in astrophysical systems, and I have published several scientific papers in this field. My skills include expertise in data science tools such as Python, Jupyter Notebooks, Pandas, Scikit-learn, as well as proficiency in and various technical platforms and languages.
Vetted Data Science developer in Argentina (UTC-3)
As a Data Scientist, I bring a wealth of experience and expertise to the table, with a strong focus on predictive modeling, machine learning, and data analysis. My primary stacks include Python, R, SQL, and I have honed my skills in utilizing these tools to drive business objectives and optimize strategies. I have a proven track record of developing predictive regression and classification models, pricing strategies, demand forecasting, customer segmentation, and statistical analysis. With a solid foundation in these key technologies, I am well-equipped to contribute effectively to any data-driven project, delivering actionable insights and tangible results.
Vetted Data Science developer in Argentina (UTC-3)
Machine Learning Engineer/ Data Scientist, currently working at Mercado Libre, generating a huge impact, which is a big challenge and also a big responsibility. My day-to-day is agile. I enjoy the BIG DATA environment (Python-SQL-AWS).
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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.