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Vetted Data Science developer in Brazil (UTC-3)
MSc in Economics and Econometrics, BS in Electronic Engineering, with a specialization in Business Analytics and certifications in Deep Learning and Generative AI. Accomplished Data Science Leader with over a decade of experience in leadership and senior technical roles. Combines deep expertise in software engineering with a proven track record of driving impactful, data-driven solutions.
Vetted Data Science developer in Brazil (UTC-3)
Data Scientist with over 5 years of experience working on multiple lines of business. My main stack is Python and I've worked with multiple machine learning algorithms, data anaysis and visualization, hypothesis testing (A/B testing), statistical analysis and data engineering work. Since I have an engineering backgound, problem solving comes naturally for me.
Vetted Data Science developer in Brazil (UTC-3)
_**A cloud certified developer with 10 years of experience responsible for complex modelling and engineering of vast amounts of data.**_ * Certified AWS Solutions Architect Associate and AWS Machine Learning Specialty. * Among consolidated technical skills are Deep Learning, NLP, LLM, embedded systems programming; data analysis development and programming; cloud computing; Big Data and large-scale database queries; Machine Learning modeling and statistical tests for data analysis; exploratory analysis, data visualization and dashboard creation. * Control and Automation Engineer with Master's and Postgraduate degrees, both with an emphasis in relevant areas for data analysis and Artificial Intelligence. * Award in national Data Mining competition. * Portfolio includes parallel projects such as the development of a Web App for analyzing sporting events, demonstrating ability to innovate and apply knowledge in a practical and impactful way. * Proficient in languages and tools such as Python, SQL, R, Tensorflow, Keras, Pandas, ScikitLearn, Plotly DASH, Tableau, Power BI, among others. Stands out not only for his extensive experience and technical qualifications, but also for his ability to apply his skills in an impactful way, generating real value for the institutions he has worked for.
Data Science developer in Brazil (UTC-3)
AI Engineer specializing in Chatbot Development, Generative AI, NLP, and LLMs. Extensive experience with Google Cloud Platform (GCP), Vertex AI, LangChain, and end-to-end chatbot implementations using Dialogflow CX. Passionate about applying AI to solve real-world problems, with a strong impact on mental health and customer engagement.
Vetted Data Science developer in Brazil (UTC-3)
**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)
Vetted Data Science developer in Brazil (UTC-3)
I am a seasoned data scientist with 7+ years of experience and a rich background in credit risk, fintech and marketing, recognized for developing impactful predictive models, spearheading projects, translating business requirements from stakeholders, and mentoring emerging talent. My experience ranges from optimizing fraud detection at Signifyd to enhancing credit risk assessment and customer retention strategies at Creditas and Will Bank. Proficient in technologies like Python, SQL, dbt, AWS, Looker, and R, I excel in turning complex data into actionable business strategies and thrive in roles that allow me to drive organizational success through data-driven solutions while being able to communicate my results with stakeholders of different technical backgrounds.
Vetted Data Science developer in Brazil (UTC-3)
Innovative and results-driven Data Scientist with comprehensive experience in machine learning, deep learning, and data-driven insights across multiple industries. Proven track record in developing predictive models and optimization solutions, resulting in cost savings and increased production efficiency. Skilled at cross-functional collaboration, data storytelling, and mentoring, with a focus on implementing data science to drive strategic business decisions and operational improvements.
Vetted Data Science developer in Brazil (UTC-3)
I am a Data Scientist with 7 years of experience in machine learning and advanced analytics. As a generalist, I've worked on a variety of challenges, including clustering, regression, classification, and recommender systems, with a deep understanding of NLP. My expertise in Python, statistics, and SQL has been instrumental in driving product value and business success. I thrive in dynamic environments, continuously learning and collaborating to turn complex data into actionable insights.
Vetted Data Science developer in Brazil (UTC-3)
Knows different types of programming language and ETL softwares. Can work with diverse teams and have good communication skills. Great experience with analytics, often gives new ideas with critical reasoning and thinks outside the box. Capable of presenting functional and innovative solutions. Detail oriented, collaborative and easily adapt to new circumstances
Vetted Data Science developer in Brazil (UTC-3)
I am a senior data scientist, a leading company in the field of artificial intelligence applied to human resources. With over five years of experience in data science and machine learning, I have a strong passion for solving real-world problems using data. I thrive on extracting value from data through the scientific method, applying machine learning and deep learning techniques. My expertise lies in statistical analysis, including exploratory data analysis and hypothesis testing. I have worked on challenging projects, developing and implementing models to provide valuable insights for business decisions. I excel at storytelling and have the ability to create descriptive and predictive models that reveal valuable insights for the business. I also have a special interest in time series forecasting, enabling organizations to make informed decisions based on future trends. In terms of technical skills, I am proficient in Python, SQL, AWS, and Docker. These tools enable me to manipulate and analyze data efficiently, ensuring accurate and reliable results. Additionally, I have experience in MLOps, which allows me to deploy, monitor, and maintain machine learning models in production environments.
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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.