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Vetted Data scientists developer in the United States (UTC-5)
I've always loved words -- reading them, writing them, learning about them -- so I appreciate that I'm able to apply that love of words to very analytical tasks. A lot of programming and machine learning is focused on math and numbers, but NLP and data science allows me to do interesting tasks without losing the human voice.
Vetted Data scientists developer in the United States (UTC-5)
Data Engineer specialized in Azure cloud solutions with proven expertise in building scalable ETL/ELT pipelines. Expert in: 🔹 Azure Data Factory: Developed production-grade data pipelines integrating Data Lake, Databricks, and Azure SQL, with automated data quality validation and Teams notifications. 🔹 API Integration: Successfully implemented end-to-end data solutions connecting with major SaaS platforms (Zendesk, HubSpot) using both Azure Functions and Databricks, handling complex authentication and data transformation. 🔹 Azure SQL & Data Lake: Extensive experience in data warehouse implementation, query optimization, and managing large-scale data operations. Recent achievements include: \- Automated file processing system with smart deduplication \- Real-time API integration with multiple CRM platforms \- Robust data validation frameworks with automated alerts \- End-to-end ETL solutions using Python, Databricks, and Azure services ✅ Available to work in the U.S timezone ✅ Available for freelance projects ✅ Strong focus on documentation and knowledge transfer ✅ Track record of delivering projects on time Looking to help businesses streamline their data operations and unlock valuable insights through robust data engineering solutions.
Vetted Data scientists developer in the United States (UTC-7)
Results-oriented AI/ML and Full-Stack Engineering leader with 22+ years of experience. This includes architecting, developing, and deploying cutting-edge AI solutions, including LLMs, generative AI, and large-scale data insights systems. Expertise in a wide range of technologies, including AWS cloud services, CI/CD pipelines, and various AI/ML frameworks (TensorFlow, PyTorch, etc.). Adept at translating business requirements into technical solutions and delivering impactful results in fast-paced, innovative environments.
Vetted Data scientists developer in the United States (UTC-4)
I hold a Master's in Computer Science with a focus on Artificial Intelligence and have extensive experience as both a Data Scientist and Full Stack Developer. In my current role at DTN, I develop machine learning models for commodity demand forecasting and implement LLM-based solutions, while my previous position at Gro Intelligence involved leading full-stack development of web applications, and developing data pipelines for large numbers of time series. I'm proficient in Python (including pandas, scikit-learn, and various ML frameworks), Javascript, C#, and AWS services. My unique combination of ML expertise and full-stack development skills allows me to tackle complex technical challenges from both development and data science perspectives. I've successfully deployed production systems ranging from data pipelines to interactive web applications, and have experience working with Unity3D for simulation and VR development.
Vetted Data scientists developer in the United States (UTC-6)
I am a skilled Data Scientist with expertise in programming languages, cloud platforms, big data, machine learning, data visualization, and project management. I have led projects in anomaly detection, product analysis, and preventive maintenance.
Vetted Data scientists developer in the United States (UTC-4)
My summary is as follows: \- 7 years in team management including 5-70 members of teams including top-level managers \- Excellent track record of bridging the gap between technical teams & executives and the ability to translate business initiatives into technical requirements. \- 6 years as a Professional Data scientist including senior level, team lead, and chief data scientist \- 5 years of consultancy to provide visibility and insights into key business issues. \- 6 years in Business Analytic Projects (customer journey, customer target selection, online pricing, target selection, recommendation engine). \- 5 years of experience with Extract Intelligence from Data using Data Preprocessing, EDA (Explorative Data Analysis) \- 7 years of deep theoretical and practical knowledge of Machine Learning (ML) Algorithms \- 12 years of Solid Experience in Computer Vision (CV) (object detection, Background / Foreground Subtraction, Object verification, Counting objects). \- 11 years in Research and Development (R&D) including e-commerce, defense, finance, and telecommunication industry. \- 10 years in Software Programming as a Professional developing algorithm (C, C++, Python, MATLAB) \- 6 years of experience in Deep Learning (DL) using FRCNN, InceptionV3, and CNN mask architecture for Computer vision projects. \- 3 years of Sequential Modelling using DL based approach (LSTM, GRU), Statistical Approach (Arima, Sarima), and Graph-Based approach (Markov chain, finite state space modeling) for (NLP, sales forecasting) \- 4 years in Time serial analysis from data processing (lead, lag insertion using auto-correlation analysis) to developing models (with evaluation by comparing persistence model, moving average model, and Gaussian smoothing) \- 6 years of fluent Tensor Flow, Keras, pandas, and scikit-learn experience \- 4 years of experience in Agile development methodologies with emphasis on Scrum. \- 1-year experience in Reinforcement Learning using DQN (Deep Q Network), cross-entropy method with MLP \- 3 years in Machine Learning (ML) applications for Wireless Communications: Signal Detection, Channel Estimation, Channel Encoding-Decoding, and Resource Allocation. \- 4 years in Big Data, Cloud Computing, and NoSQL Databases \- Excellent record of accomplishment in defining, designing, developing, and implementing phenomenally successful automated and deployed solutions. \- Strong interpersonal, written, and verbal communicator who can deliver effective presentations and maintain collaborative relationships. Muhammet Pakyurek +1(319)259-3907 mpak85@hotmail.com
Vetted Data scientists developer in the United States (UTC-5)
Dedicated Data Scientist/Applied Research Scientist with over 8 years of experience, with a strong background in causal inference, data science, program evaluation, data analytics, risk analytics, reporting, and predictive modeling. Passionate about leveraging data to drive informed decision-making and skilled in using a variety of methodologies and technologies to extract actionable insights from complex datasets.
Vetted Data scientists developer in the United States (UTC-7)
I am a Co-Founder & Chief Technology Officer at Dawatek, with experience in data science roles at American Family Insurance, Next Insurance, and Arity. My skills include Python, R, SQL, and various computing platforms. I have 5 years of experience with Bayesian statistical modeling, primarily predicting insurance claim events and loss costs from telematics data (for auto insurance) and home inspection image data (for homeowner's insurance).
Vetted Data scientists developer in the United States (UTC-7)
Experienced in the field of AI/ML/CV/NLP and Full Stack with 9 years of experiences. Hands on experiences in data science and machine learning, including data analysis, data modeling, statistics, time series analysis & forecasting, data visualization, neural network, machine learning, NLP, object tracking, image processing, object detection, etc using Tensorflow, pytorch, keras and so on and full stack developement such as ReactJS, AngularJS, VueJS, ExpressJS, NodeJS, Laravel, Django, FastAPI, SQL, MongoDB, WordPress, Android, Flutter and so on.
Vetted Data scientists developer in the United States (UTC-4)
Nine years of experience analyzing, visualizing, and data storytelling. 5+ years of experience in Python, SQL, PySpark, Time-series analysis, and Machine Learning techniques. 8+ years of statistical analysis in R. 6+ years of experience coding in JavaScript. 6+ of experience as an educator. 2 years of experience as a graduate teaching assistant at the university level. Courses taught: Ornithology, Ecology, and Biology. 2 years of experience teaching at the elementary level. Technology teacher and 5th Grade Science and Social Studies teacher. 2+ years of experience as a coding mentor.
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Ready to hire your ideal Data scientists developers?
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 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 scientists 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 scientists developers can help keep your website up-to-date.
To hire a Data scientists 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 scientists developers effectively and efficiently. Hire full-time Data scientists 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 scientists 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 scientists 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 scientists developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data scientists 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 scientists 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 scientists developers, consider niche platforms like Arc that naturally attract and carefully vet their Data scientists developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data scientists developers.
Some factors to consider when you hire Data scientists 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 scientists developers for hire.
Writing a good Data scientists developer job description is crucial in helping you hire Data scientists 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 scientists 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 scientists developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Data scientists developers 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 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 scientists developers to keep up with evolving technology and requirements.
You can find a variety of Data scientists 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 scientists developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data scientists 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Data scientists 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 scientists 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 scientists developers.
Every Data scientists 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 scientists 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 scientists 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 scientists 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 scientists developers, you can rest assured that all remote Data scientists 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 scientists developers before we present them to you. As such, all the remote Data scientists 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 scientists developer in 72 hours, or find a full-time Data scientists 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 scientists developers.
Depending on the freelance developer job board you use, freelance remote Data scientists developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data scientists 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 scientists 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 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 scientists 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 scientists developers, check out our FAQs page.