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499 Remote data scientists and experts available to hire:

Remote data scientist - Akshat S.
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Akshat S.

Vetted data scientist in India (UTC+6)

I am a Senior Data Scientist with 8+ years of experience in projects involving Gen AI deep learning, user insights, and biometric identification systems. Proficient in Python, TensorFlow, and various cloud platforms. TECHNICAL SKILLS □ Languages: Python (Numpy, Pandas, Jupyter, OpenCV, Scipy, Flask, Fast API, Plotly), SQL/HQL. PySpark □ Deep Learning and ML models: TensorFlow, Keras, PyTorch, [fast.ai](http://fast.ai/), LightGBM, XGBoost, Scikit-Learn □ Others: GCP, Azure, Docker, Kubernetes, PySpark, Conda, Git, MLflow, JMeter, Linux Bash

Remote data scientist - Sumit K.
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Sumit K.

Vetted data scientist in India (UTC+6)

Data Scientist with 6.5 years of expertise in ML, NLP, and deep learning. Proficient in Python, R, and SQL, skilled in intricate data analysis, visualization, and statistical modeling. Proficiency in Generative AI tools like LangChain, seamlessly integrating it with ChatGPT, Pinecone, LLAMA 2, and Hugging Face for dynamic language-based applications. Strong problem-solving abilities, excelling in fast-paced environments.

Remote data scientist - Heet S.
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Heet S.

Vetted data scientist in India (UTC+6)

"Great minds discuss ideas. Average minds discuss events. Small minds discuss people." - Eleanor Roosevelt Hello - I'm Heet, a Computer Science Graduate, currently working as a Machine Learning Engineer on various problems at large scales of millions of users/items. Working on ML techniques for Recommendation, and personalization, Content and User understanding, Trust & Safety: Moderation AI and Feed AI: Multi-objective decisioning. Passionate about AI - Machine Learning and Deep Learning, Recommendation Systems, Pattern Recognition, Problem Solving, Software Optimization. With having profound interest and experience, some of the key skills and concepts that I am interested in: - AI: Recommendations System, Computer vision, Audio/Speech processing, NLP - Problem-Solving skill: Data Structure and Algorithms - Backend development and optimization: MicroService, Job deployment - SQL/NoSQL Databases - Google Cloud Platform services - CI/CD Pipeline: Docker, Jenkins, Kubernetes - Flask Want to explore things in-depth and make an impact in society by uplifting people's lives along with personal advancement as well.

Remote data scientist - Ronit K.
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Ronit K.

Vetted data scientist in India (UTC+6)

CTO @ Talamus Health, Inc. | Deep Learning | HealthTech | All things AI, tech and startups!

Remote data scientist - Rishabh J.
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Rishabh J.

Vetted data scientist in India (UTC+6)

I am an AI Engineer with experience working on repository level LLM evaluation workflows, Python based APIs, and SQL driven backend systems. At Turing, I evaluated LLM coding agents (GPT-4, Claude Code) using structured A/B testing, multi turn prompt workflows, and Human-in-the-Loop (HITL) feedback processes contributing to RLHF style optimization. I have 10+ years of experience in building robust, reproducible, high performance systems supporting AI applications. My backend experience includes designing Python REST APIs, optimizing SQL queries using execution plans, improving data retrieval latency, and deploying containerized services with Docker and CI/CD pipelines. I have also built Machine Learning preprocessing pipelines and inference APIs for Raman Spectroscopy based impurity detection systems, improving model accuracy and query performance.

Remote data scientist - shankar K.
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shankar K.

Vetted data scientist in India (UTC+6)

· Over 18 years of experience in software development including leadership roles in **Project Management, Architecture Design, Research & Innovation** · More than 12 years of experience in leading and implementing data analytics using descriptive, predictive, and prescriptive analytics across diverse domains, including **Telecom, Finance, Customer and Marketing Analytics, as well as Network and Cybersecurity analytics** · **Master’s** in data science and engineering from BITS Pilani · Extensive hands-on experience in leveraging **Business Intelligence, Big Data tools Statistical Models, Machine Learning, Deep Learning, NLP techniques, Large Language Models (LLMs), Forecasting Techniques, Recommendation systems, and Graph Analytics** to deliver innovative and data-driven solutions · Hand-on experience in multiple programming languages like **C, C++, Java, Scala, Golang** and Proficient in **Python** · Hands-on experience with data science frameworks and tools, including **Spark, Scikit-learn, TensorFlow, PyTorch, Lang Chain, OpenLLM, Vertex AI, Azure AI, and AWS Sage Maker** · Spearheaded **Advanced** **Research & Innovation,** developing proof-of-concepts **(POCs)** to solve complex business challenges · Designed and implemented Generative AI applications using **LLMs**, **RAG systems** with **Lang Chain** Framework and **Prompt Engineering** · In-Depth understanding of state-of -the-art language models (LLMs) and architectures, training and fine-tuning methodologies · Deployed scalable End to End Big data AI/ML solutions in **AWS/GCP** cloud and on-prem Infrastructure, leveraging Containerization Technologies (**Docker, K8S**), **ML Ops**, and **CI/CD** automated pipelines to deliver enterprise-grade solutions · **Built, led and mentored** a high-performing Data Science Team, fostering a culture of innovation and continuous learning · Literature review, workshops, conferences and publish papers · Published my research as chapter in Rever Publishers: **Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture: Volume II**

Remote data scientist - Vinit S.
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Vinit S.

Vetted data scientist in India (UTC+6)

Versatile Data Scientist distinguished for collaborative skills and a track record of independently delivering impactful results. I have experience in instance segmentation, object detection, clustering, OCR time series forecasting, post-processing forecast correction, retail analytics, regex, delivering well-documented, tested, and operable code. I have also worked with Turing on their LLM deliverables, curating high quality dataset for python coding practises. Efficient in collaborating and communicating new ideas and opinions.

Remote data scientist - Pranav P.
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Pranav P.

Vetted data scientist in India (UTC+6)

I have a strong background in AI, GenAI, and ML, I believe I can bring valuable expertise to your team. Over the years, I've worked on some cutting-edge AI projects that I'm quite excited about. At Motive, I built an end-to-end facial recognition system that could identify drivers with more than 85% accuracy, handling over 1 lakh predictions daily. I also developed multi-task deep learning models for object detection and tracking, which we deployed on more than 10 lakh edge devices. I've got hands-on experience with the latest in GenAI too. At Stybe, I leveraged Large Language Models (LLMs) to create a personalized search experience for our fashion app. We used vector databases like Qdrant for semantic search, achieving over 90% accuracy in product matching. My technical toolkit includes Python, PyTorch, and TensorFlow, and I'm well-versed in cloud platforms like AWS. I've worked extensively with GPT models, BERT, and T5, and I'm comfortable with prompt engineering and frameworks like LangChain. I've applied ML to solve real-world problems. At Wipro, I developed a COVID-19 detection app using audio analysis, achieving an F1 score of 0.89. I've also worked on innovative projects like using GANs for document denoising and implementing one-shot learning for symbol recognition in engineering drawings. I'm really passionate about pushing the boundaries of what's possible with AI and ML. I'd be thrilled to bring this expertise to your team and contribute to developing next-generation AI solutions. I'm looking forward to the possibility of discussing how my skills can contribute to your AI initiatives.

Remote data scientist - basani A.
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basani A.

Vetted data scientist in India (UTC-7)

A result-oriented professional with nearly 5 years of experience across Data Science in Health Tech, Civil Litigation & Consulting Industry ❖ Exceptional understandings of latest Gen AI space including building and fine tuning LLMs as well as media generation using Gen AI models. Have more than a year of experience working with successful LLM players in the industry ❖ Identified, developed, and implemented appropriate statistical techniques, algorithms, and Deep Learning/ML Models to create new, scalable solutions that resolved business challenges ❖ Proficient with a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and present the insights in a concise and effective manner ❖ Comprehensive knowledge of Language Modelling (NER, Topic Labeling, Document Classification, Question Answering Model), Computer Vision, Recommendation Systems; experienced in Python, MySQL ❖ Expertise in collaborating effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards ❖ Defined service standards and guidelines for smooth delivery of end-to-end projects while evaluating risks, costs, resource requirements & schedules and submitting delivery opinions

data scientists developer - basani A.'s portfolio image
data scientists developer - basani A.'s portfolio image
data scientists developer - basani A.'s portfolio image

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FAQs

Why hire a data scientist?

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.

How do I hire data scientists?

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.

Where do I hire the best remote data scientists?

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.

How do I write a data scientist job description?

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.

What skills should I look for in a data scientist?

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.

What kinds of data scientists are available for hire through Arc?

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.

Why is Arc the best choice for hiring data scientists?

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.

How does Arc vet a data scientist's skills?

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.

How long does it take to find data scientists on Arc?

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.

How much does a freelance data scientist charge per hour?

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.

How much does it cost to hire a full time data scientist?

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.