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Vetted data scientist in Mexico (UTC-6)
As a seasoned Data Scientist and Machine Learning Engineer with extensive experience architecting and leading the development of end-to-end AI and analytics solutions, I specialize in translating complex business problems into practical, scalable products. Throughout my career, I have successfully led diverse teams, driving innovation and fostering collaboration to deliver impactful results across various industries, including automotive, retail, finance, and media. My expertise spans developing sophisticated predictive models, advanced analytics, and real-time data solutions using state-of-the-art technologies and platforms such as AWS, Azure, Databricks, and IBM WatsonX. I excel in deploying robust machine learning models leveraging libraries and frameworks like TensorFlow, PyTorch, Prophet, XGBoost, and PySpark to deliver accurate forecasts, effective anomaly detection systems, and actionable insights. I have a strong track record in designing comprehensive data architectures and managing data engineering workflows, from initial data ingestion through ETL processes, to visualization and deployment in production environments. My proficiency in cloud infrastructure, big data technologies, and agile methodologies ensures streamlined project execution and efficient operational management. Passionate about innovation and committed to ethical AI, I continuously strive to build data-driven solutions that not only meet business objectives but also align with best practices and responsible use of technology.
Vetted data scientist in Mexico (UTC-6)
I hold a Bachelor's in Biomedical Engineering and a Master's in Bioengineering. My expertise lies in developing Deep Learning models for Computer Vision tasks, with proficiency in PyTorch and OpenCV.
Vetted data scientist in Mexico (UTC-6)
I'm a CONACyT scholar with a lifelong passion for technology. Over the years, I’ve honed my skills in Data Science and Software Engineering through diverse projects spanning virtual reality, expert systems, smart agents, and IoT. Notably, I contributed to sections on GPIO configuration for the Intel Edison in this [GitBook](https://www.gitbook.com/@theiotlearninginitiative). My experience also includes Linux driver debugging for Android devices, recommender systems, NLP, machine learning, and computer vision. Most recently, my biggest challenge—and growth opportunity—has been managing a team. **Technical Skills:** * Data Science: Exploratory Data Analysis, Feature Engineering, Scikit-learn, NumPy, Pandas * Machine Learning & AI: NLP, Recommender Systems, Computer Vision * Software & Tools: Python 3, C, C++, Flask, Linux, Git, Ogre3D, Blender
Vetted data scientist in Mexico (UTC-6)
Machine Learning Engineer with a background in Mathematics, Computer Science, and Philosophy of Technology. Specialized in developing intelligent, autonomous systems and articulating end-to-end technological solutions. I specialize in implementing robust, safe and reliable AI automation workflows that process and analyze tabular, text, vision and audio data.
Vetted data scientist in Mexico (UTC-6)
With over 5 years of AI/ML and Software Engineering experience, I specialize in delivering advanced AI solutions, including real-time, low-latency and scalable services. I have built ML systems that increased users efficiency by 50%. Passionate about driving AI innovation and providing impactful insights.
Vetted data scientist in Mexico (UTC-6)
Electronic Engineer with Master’s and PhD degrees in Artificial Intelligence. Experienced in machine learning, computer vision, data science, and software engineering, with a track record of developing innovative solutions. Proficient in Python programming, machine learning algorithms, and data visualization. Known for adaptability, analytical thinking, and collaborative spirit, consistently delivering creative and accurate solutions to complex problems. Regarding my experience in 3D computer vision, I have worked with elevation maps and point clouds for image segmentation. This has involved processing and analyzing 3D data to extract meaningful insights. As for Structure from Motion (SfM), my experience is primarily in testing different modules of an SfM pipeline, with a particular focus on evaluating inputs and outputs. Specifically, I have worked on testing the mesh generation part of the pipeline, ensuring the quality and consistency of reconstructed 3D models.
Vetted data scientist in Mexico (UTC-6)
An experienced scientist and engineer with exhaustive knowledge about data transformation, machine learning modeling, data architecture and cloud engineering. I've been involved in different fields such as ML research, start ups, IT consulting for ML and Data Architecture projects. I have an holistic vision of the data products and sources depending on the business requirements and expected added value. Cloud Data Architect working in Data Governance and ML/Gen AI architectures. As part of the external workforce team in the Google Cloud Professional Services Org, we implement and design scalable architectures for Gen AI and LLM solutions. We also provide Data consulting for small and midsize enterprise.
Vetted data scientist in Mexico (UTC-6)
Data Scientist, Economist, and developer. Passion for Data Science, Econometrics, and IT. Linked Inn: https://www.linkedin.com/in/armando-fern%C3%A1ndez-816046146/ DataCamp: https://www.datacamp.com/portfolio/armandofergon
Vetted data scientist in Mexico (UTC-7)
Data Scientist & AI Engineer with over 4 years of expertise in Machine Learning, NLP, and Large Language Models (LLMs). Demonstrated proficiency in designing and deploying scalable data solutions and fine-tuning transformer models. Experienced in optimizing performance through technologies such as FastAPI and Docker, while leveraging Google Cloud and Azure to enhance operational efficiency. Experienced in developing systems that drive business value by improving decision-making, and data processing capabilities.
Vetted data scientist in Mexico (UTC-6)
Hello! I'm Omar, and I build intelligence software for data-intensive companies worldwide. I solve high-value data-rich problems with custom, secure, cloud-based software systems that leverage machine learning and time series forecasting. No nonsense. No generic products. No in-house expertise required. Efficient. Effective. Execute. contact@mllabs.com
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Ready to hire your ideal data scientists?
Get startedArc offers pre-vetted remote 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 scientists 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 scientist, 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 scientists can help keep your website up-to-date.
To hire a data scientist, 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 scientists effectively and efficiently. Hire full-time data scientists 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 scientists 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 scientists.
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 scientists for your company, and let Arc handle the logistics.
There are two types of platforms you can hire data scientists 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 scientists 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 scientists, consider niche platforms like Arc that naturally attract and carefully vet their data scientists for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote data scientists.
Some factors to consider when you hire data scientists 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 scientists for hire.
Writing a good data scientist job description is crucial in helping you hire data scientists 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 scientist 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 scientists, read our Engineer Job Description Guide & Templates.
The top five technical skills data scientists should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 scientists 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 scientists to keep up with evolving technology and requirements.
You can find a variety of data scientists for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance data scientists, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote data scientists 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready data scientists 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 scientists with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire data scientists.
Every data scientist 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 scientist 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 scientist 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 scientists, 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 scientists, you can rest assured that all remote data scientists 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 scientists before we present them to you. As such, all the remote data scientists 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 scientist in 72 hours, or find a full-time data scientist 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 scientists.
Depending on the freelance developer job board you use, freelance remote data scientists' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find data scientists 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 scientists 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 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 scientist’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 scientists, check out our FAQs page.