Find Top Data Scientists in a Matter of Days
Whether you need the expertise of freelance data scientists, part-time or full-time professionals, or comprehensive project management services, Eventum empowers your team to swiftly develop cutting-edge technology, even with limited resources.
Hire Data Scientists2 week risk-free guarantee
Top 1%
Elite Data Scientists
99.2%
Placement success rate
Why hire Data Scientists through Eventum?
Hiring top data science talent through traditional methods can be a burdensome, costly, and time-consuming process. This challenge is amplified by the high demand for skilled professionals in the data science field, making it even more difficult to find individuals who not only possess the necessary expertise but also align with your company culture.
Through Eventum, you can swiftly access the top 1% of talent from a meticulously curated and thoroughly vetted network of global data scientists, engineers, and researchers specializing in data science. Within a matter of days, you can tap into this exceptional talent pool.
3.4 days
Average time to place top Data Science talent
40%
Hire 1 - 10+ team members at a fraction of the price
56 hours
Average time saved by our clients on the hiring process per developer
Hire Data Scientists on Your Terms
We are here to help you find the ideal fit for your hiring needs from our meticulously screened network of data science specialists. Our network comprises a diverse range of talent, including Junior Devs, Senior Devs, PhDs, and Kaggle Grandmasters.
These professionals hold degrees in data science from esteemed institutions and have valuable experience at rapidly growing startups and leading tech companies. Whether you require the expertise of an individual engineer or the formation of a complete team, we have the knowledge and capabilities to assist you in effectively training and managing them.
Recruit Data Scientists at a fraction fo the cost
- Looking for a Data Science expert? Within 48 hours, we will connect you with a diverse range of professionals in the AI field, including engineers, developers, ML product managers, team leads, project managers, researchers, and scientists
- Build up your data science team - Let us know us of the team members you need to accelerate the progress of your project in the field of data science. Whether you require junior professionals, senior experts, managers, CTOs, or interim heads of data science, we are here to support and assist you.
- Bootstrapped for resources or recently funded? We can guarantee that you won't find more competitive rates in the market when hiring data science talent. Our clients typically achieve savings of up to 40% when utilizing our services to hire their data science professionals.
Engage remote, part time or full time Data Scientists for your project
- Looking for a permanent hire or extra help? You have the flexibility to hire a data science specialist from our pool of professional freelancers and specialists on a full-time, part-time, project-based, or hourly basis.
- Remote team augmentation for your timezone - Whether your preference is for remote specialists in your timezone or on-site team members, we will connect you with talented individuals who can offer the crucial support your team requires during critical times.
Engage Top 1% Data Scientists
We offer you the opportunity to hire exceptional data science professionals from our extensive global network, all at a significantly reduced cost. With our support, you can find the perfect fit from our carefully vetted network of data science experts. Our network includes individuals with MSc and PhD degrees in data science, as well as champions of national math and physics Olympiads and Kaggle Grandmasters.
Whether you require the expertise of a single engineer or an entire team, we have you covered. Our exclusive talent pool consists of over 7,500+ data science engineers, researchers, advisors, and managers. They have received education from renowned institutions worldwide and have previously contributed their skills to top-tier tech companies such as Google, Amazon, Tesla, and Microsoft.
Polina ML Engineer
Experience: 5 years
Machine Learning Research Engineer with a master degree in math and computer science, and 5 years working at both a large tech company, Huwei, and a fast growing startup, plailabs.com. Plailabs was started by the founders of MySpace, and she is building a consumer app based on Stable Diffusion that is going viral.
Expert in:
Computer vision, Stable Diffusion, Generative AI
Also worked with:
Video, Google Cloud
Alex MLOps Engineer
Experience: 8 years
Computer Vision and MLOps Engineer with more than 7 years of experience in software development. Wide experience in designing and implementing ML models, complex Data Pipelines and Data ingestion scenarios. Strong background in algorithms and data structures, mathematics, statistics and data analysis with special emphasis on image/video processing. Great at keeping cloud costs low and ML teams productive.
Expert in:
MLOps, Computer vision, Team Lead
Also worked with:
AWS, Google Cloud, Kubernetes
Dmitry ML Engineer
Experience: 3 years
Gold Medal at International Physics Olympiad. Graduated from one of Russia’s top universities, MIPT. Worked on rebuilding DeepCell's (Raised >$70M) computer vision pipeline for identifying cell types in a cell sorting microfluidics machine. Worked on a small AI super team building an AI quant system from the ground up.
Expert in:
Computer vision, Quantitative Finance, Self-Supervised Learning
Also worked with:
pytorch_lightning, convex optimization, hydra, tree ensembles
Sergey MLOps Engineer
Experience: 8 years
Sergey is a hands-on Machine Learning Engineering Manager with a lot of experience in production software engineering. Loves to work with challenging cross-functional projects. He has 7+ years of professional experience in different areas of machine learning usage: recommendations, logistics, audio/video processing, and applied chatbots
Expert in:
MLOps, Kubernetes, ETL, Team Lead, Chatbots, RecSys, Audio
Also worked with:
Data Engineering, Cloud
David NLP Researcher
Education: PhD
David’s research efforts in neuroscience and deep learning have spanned over a decade, and include 11 publications and multiple blog posts (https://medium.com/@dwbressler). In all, his research has been cited more than 500 times in scientific literature. David has been working with production LLMs for over 3 years.
Expert in:
NLP, Computer Vision, LLM Fine-tuning, LoRa, RLHF
Also worked with:
Neuroscience, ChatGPT, Claude
Emil ML Engineer
Experience: 4 years
Emil is a very strong ML engineer and researcher who specializes in computer vision. He is able to train neural networks from scratch, reproduce papers, come up with novel research ideas, and do all of the end-to-end engineering for a production system. An absolute workhorse who is on his way to do big things.
Expert in:
Computer vision, Stable Diffusion, MLOps
Also worked with:
AWS, google cloud, Generative AI
Stanislav ML Engineer
Experience: 4 years
Passionate machine learning engineer with deep experience in audio- and image-based machine learning algorithms. His main expertise is developing ML algorithms from scratch, including problem research, data collection, development, and production deployments. He has experience in startup building and managing a group of people.
Expert in:
Speech, Audio, Voice cloning, Voice enhancement, TTS
Also worked with:
AWS, Docker
Danil ML Engineer
Experience: 6 years
A rare breed of AI + Blockchain expert. Has experience ranging from building his own startup to utilizing homomorphic encryption to make encryption work with neural networks. Won the international math olympiad gold prize!
Expert in:
Computer vision, Blockchain, Stable Diffusion
Also worked with:
NLP, Generative AI
Hire Talent based on Skills
How to hire a Data Scientist at a fraction of the cost?
Identifying and recruiting top data science professionals, irrespective of their seniority, can be a demanding endeavor that requires considerable time, resources, and entails inherent risks.
We put together a guide on How to Build a Market Leading AI Product: Strategies for Hiring Elite ML Teams.
Embark on an inspiring journey to build a market-leading data science product by exploring strategies for assembling outstanding data science teams. Dive into captivating insights and techniques in this tantalizing overview.
Discover the keys to hiring top-tier talent and gain a competitive edge in the dynamic data science landscape.
Read now to unlock the power of elite ML, AI and Data Science teams.Finding Data Scientists doesn't need to be complex
We will assist you in finding the perfect match for your hiring needs from our carefully vetted network of data science experts. Our network includes a diverse range of talent, including junior developers, senior developers, PhD holders, and Kaggle Grandmasters. They possess AI degrees from top schools and have gained valuable experience at fast-growing startups and large tech companies. Whether you need to hire a single engineer or assemble an entire team, we can support you in training and managing them effectively.
Step 1
Speak with one of our AI experts
Our experts with over 14 years applied AI experience will help work out your talent and project needs
Step 2
Get tailored talent recommendations
You choose from a short list of hand-picked professionals who we think are the best fit for you
Step 3
Project
Kick-off
Selected talent starts within 48 hours with a 2 week no-risk guarantee
Why hire Data Science talent with us
Interviewing process - time cost
Extra 40% overhead costs for vacation, benefits, taxes
Scalable and on demand teams
Systematized vetting process
2 week risk-free guarantee
Training and employee development
Upfront recruitment costs
Eventum
Hire team from 1 - 10+ in record time
Hire freelancers, full time, part time, project or hourly based
Minimal
Specialized professionals to solve specific problems/specialized to your needs
Choose candidates fit from a vast pool in days
In-house hiring
Not possible, very time consuming
Extensive
Broad skillset, not used efficiently
Can be hard to gauge and be easily missed
Testimonials
"Eventum built and managed our ML team, models, and software from the ground up at below market rates delivering incredible results. They are an essential partner for us that I couldn’t recommend more highly."
- Jim Benedetto, CAO PLAI Labs
“Eventum helped us go from stuck to cutting edge in a matter of months, rewriting our entire ML training stack and continually supporting our R&D efforts.”
- Kevin Jacobs, VP Data Science, Deepcell
“Eventum came in and quenched our MLOps fire in quick order ensuring our ML Scientists could make rapid progress. We then immediately hired them to help build us a generative AI audio model from scratch”
- Shawn Zhang, CTO, Founder, Sanas
FAQs
What is the no-risk trial period for Eventum engineers?
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There is a 2 week trial period. If you are unhappy, you will not pay and we will find you another match.
How does Eventum vet their talent pool/candidates?
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We do big-tech style interviews for knowledge in ML theory, ML practice, Software Engineering, past ML projects, and communication style. Interviews are very rigorous, and our acceptance rate is very low.
Do all Eventum engineers speak proficient English?
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Yes, this is required of all talent
How long does it take to hire an Eventum engineer?
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What is included in the project management service?
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This varies by project, but often times clients want us to help provide technical advice on how to architect their AI system, have a part-time AI team lead to manage their team, or just provide end-to-end product development and delivery.
Can Eventum provide us with a team?
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Yes! There is no limit to the size of team we can build for you. We are currently working with one client that wants a 20 team hire.
Can Eventum project manage teams?
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Yes! Our experienced leaders who have build AI products and lead AI teams before at big tech companies and startups that have unicorned will gladly project manage for you part time. This is highly recommended if your leadership does not have any experience building AI systems, particularly if you are training your own models or doing R&D.
Are there any upfront recruiting costs?
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No, there are no upfront recruiting costs
How do we pay for engineers?
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We will invoice you after the first 2 weeks, and then monthly thereafter
How is Eventum different from other hiring platforms?
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Eventum provides a risk free way to get extremely good AI talent at reasonable prices. You take on very little risk with our money back guarantee, and you can hire only the talent that has proven themselves after a few months. We also do very rigorous interviews similar to what's done at a company like OpenAI or Google.
What kinds of engagement does Eventum provide?
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We engage on a consulting bases for hourly rates. Some of our long-term startup partners also provide a small amount of equity compensation so that our long term objectives are even more aligned. Equity compensation is of course never required.
