Hire Vetted Data Scientists
Gather a team ready to help you realize your company’s future.
Discover a winning team with us
We’ll work with you to fully understand your technical gaps, culture, industry regulations, and strategic route. Instantly view a curated selection of technologist profiles that meet your needs.
Our proprietary assessments are designed to find you the best talent by role, no matter where they are in the world. Based on your team’s goals, meet vetted technologists you can trust.
Connect within hours, with vetted technologists who can easily align with your existing teams, tools, and workflows. Our matching times are consistently twice as fast compared to industry standards.
With a focus on sustainable growth, we’re with you every step of the way. From rapid onboarding and seamless integration to global payroll solutions and compliance support.
Empower your future
to ensure you hire
top Data Scientists
We strive to bring together companies and talented people with in-demand skillsets. Our rigorous vetting process enables you to focus on picking the right fit for your company knowing that each candidate is fully qualified having passed our technical screening tests.
Hiring the world’s top Data Scientists should be easy
Save time and energy with instant access to thousands of technologists around the world in three easy steps
- Smart skill matching
Our intuitive machine learning and AI platform finds you the best match for any role.
- Meet the best talent
Easily schedule interviews and connect with top technologists curated to fit your team’s needs.
- Continued excellence
Integrate your new team members quickly and effectively. Let us manage payroll and compliance.
Meet some our top Data Scientists
We’re proud to be able to match our top talent and vetted engineers from around the globe to your business.
Qaim is a data specialist with over five years of experience in end-to-end data science pipelines. He has worked with over 30 international clients with a focus in banking, marketing, travel, AgriTech, MedTech, and entertainment. He brings his experience with applied statistics, artificial intelligence, data visualization, and machine learning to all projects.
Pavan is a data scientist with over a decade of experience in predictive analytics, informatics, and data visualization. He’s comfortable working with Big Data techniques, ETL pipelines, and Tableau. Previously, he has spearheaded projects that involve machine learning, customer behavior, and performance analysis.
Lucas is a data scientist with a background in Economics and Finance. He’s comfortable analyzing large datasets and implementing computational routines. Lucas has experience in R, Python, PostgreSQL, and MySQL. In the past, he’s integrated public and proprietary databases on a relational database and structured efficient coding routines for reproducing statistical models.
Brian is a data engineering specialist with a focus on FinTech and the Internet of Things. He’s comfortable working in performance, functional, integration, regression, and user acceptance testing. With knowledge in Python 3, SQL, Pandas, and Kubernetes, Brian has led projects to design data flows, build ETL pipelines, and evolve sophisticated data models.
Oluwatomi is a TOGAF-certified enterprise architect and software engineer with over 10 years of experience building scalable, performant solutions for sectors spanning finance, food tech, education, and oil. He’s comfortable working with digital payments, data analytics, AI, and information security. As a senior data engineer, he has designed and implemented pipelines to ingest, analyze, and distribute data. He has also worked on ETL pipelines and REST APIs.
Ali is a data engineer experienced in data warehousing, data analytics, and big data. He’s worked with GCP, AWS, Cloud SQL, GitHub, Python 3, Hadoop, Hive, Spark, and ETL. At Coca-Cola, Ali has worked on supply chain projects, raw data management, and data pipelines. He also specializes in artificial intelligence, cloud computing, data visualization, and data warehousing.