Hire top Data Scientists from around the world
Trusted by enterprise teams and growing startups alike, Andela can onboard the Data Scientists you need 70% faster compared to the industry benchmark. Spend more time driving impact by hiring Data Scientists on your project.
Partner with us for your Data Science talent needs. Our global marketplace gives you access to Data Science developers, and Data Science consultants. Join hundreds of companies already hiring Data Scientists with Andela to deliver on mission-critical projects.
We’re trusted by the best
Why Hire Data Scientists through Andela?
Want to connect with the very best professionals for your Data Scientist projects but don’t know exactly how to go about it? Well, at Andela, we eliminate the stress involved in choosing the best professionals and also ensure they are the right fit for your project, based on the peculiarities of your organization.
Hire dedicated Data Scientists can either work on a full-time or hourly basis to rapidly execute your Data Science project.
Dedicated Professionals
Our dedicated Data Scientists are experts committed to delivering world-class work. Embedded Data Science technologists will seamlessly integrate with your team to align with your business goals.
AI-Powered Matchmaking
We understand that different organizations require different solutions. That’s why we use the power of Artificial Intelligence to arrive at the most compatible Data Science professionals for your projects based on the particular demands of your company.
Successful Delivery
Our Data Scientists are equipped with cutting-edge technology, ensuring the successful delivery of projects. So far, we’ve achieved over 96% successful placements as we build teams ready to help realize the future of the businesses they work with.
Rigorous Vetting
Our vetting process for Data Scientists guarantees that you’re connected with technologists you can trust. From coding challenges to language tests, we ensure expertise combined with professionalism with every Data Science engineer.
Rigorous vetting
to ensure you hire
top Data Scientists
We’ve already done the necessary homework by selecting the very best crop of professionals with outstanding technical abilities through rigorous vetting processes. Hence, you can trust our team to deliver on your Data Science development project with ease.
How to hire Data Scientists through Andela
With Andela, the hiring process is quite straightforward. Here are 3 simple steps to arrive at the best-fit software developer:
- Talk to One of Andela’s Industry Experts
Our engineering team will work together with you to thoroughly comprehend your technological requirements, culture, and strategic objectives to hire Data Science app developers. - Work With Hand-Selected Talent
Due to our quick and efficient hiring process, you will be matched with an experienced Data Scientist within two to four business days of your initial contact with Andela. You can count on speed and also high quality. - The Right Fit, Guaranteed
Andela will be there with you every step of the way to find the best Data Scientists for hire and also facilitate a smooth transition and team integration.
Hire Data Scientist who have applied to Andela
Qaim
Data Scientist
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.
- MS SQL Server
- AWS
- Data Analysis
- TensorFlow
Pavan
Data Scientist
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.
- Data Engineering
- Data Science
- Data Visualization
- Machine Learning
Lucas
Data Scientist
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.
- MySQL
- Postgres
- Python
- Ruby
Brian
Data Scientist
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.
- Flask
- Java
- PHP
- Pandas
Abdullah
Data Scientist
Abdullah has nine years of experience working in the treasury and has been a lead consultant for GSM companies and top banks. After completing his Ph.D., he focused on financial data science. He is proficient with many machine learning technologies and the ecosystem in general, especially with Python, TensorFlow, Scikit-learn, Pandas, and SQL. Most recently he has been working as a principal data scientist at Magnimind.
- Data Science
- Python
- TensorFlow
- Pandas
- SQL
Daniel
Data Scientist
Daniel is a highly analytical and business-oriented data science expert who provides insights into global issues through data mining and advanced data-driven techniques. He has experience capturing, organizing, analyzing, and disseminating insights from a wide range of data sources, conveying information clearly and effectively for the benefit of end-users.
- Data Science
- C#
- TensorFlow
- SQL
Frequently asked questions
How Are Andela’s Data Scientists Different?
One distinguishing factor about Andela is that we offer you peace of mind since we don’t only help you select the best talent, but also ensure they fit perfectly into your team. Besides, Andela uses AI-powered technology to analyze your request and match you with already vetted talent with outstanding technical and professional abilities, thereby making your onboarding process 70% easier and faster.
When you work with Andela, you can expect Data Science talent who will contribute not only technical-wise, but also in terms of global perspectives, growth mindsets, and long-term commitment — all backed by a support team that is available to assist in any given stage of the project execution.
How long does it take to hire Data Scientists through Andela?
You may start reviewing profiles of Data Scientists from Andela instantaneously through our client portal or within the first two to four business days if you speak to an industry expert at Andela. Timing depends on your specific requirements such as seniority, skill set, and time zone. Our matching times are still twice as fast compared to industry standards.
How Does Andela ensure long-term success?
We leverage human expertise as well as artificial intelligence to match our clients with the right talent based on work schedule, tech stacks, team dynamics, and overall compatibility. We also provide continuous support from the get-go of the project to the completion.
Why do great Data Scientists choose Andela?
Andela matches engineers with long-term remote Data Science opportunities at leading companies. Additionally, Andela provides professional growth opportunities including a global talent community, compensation and career coaching, educational resources, and ongoing support.
Hire Data Scientists with Andela Today
From the hiring guide and steps above, it’s obvious that locating a top Data Scientist that can deliver on your project is not all that easy.
Although the market is flooded with lots of Data Science freelancers it takes an extensive background check, interviewing, and matchmaking to discover the right fit for your project.
Fortunately, Andela takes away the stress and risks involved in recruiting the right professional for your job. Connect with us and relax while we seamlessly complete the hard work.
