Toptal® Data Science Services

FAQs

• How are Toptal developers different?

  At Toptal, we thoroughly screen our developers to ensure we only match you with talent of the highest caliber. Of the more than 100,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.

• Can I hire developers in less than 48 hours through Toptal?

  Depending on availability and how fast you can progress, you could start working with a developer within 48 hours of signing up.

• What is the no-risk trial period for Toptal developers?

  We make sure that each engagement between you and your developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another expert who may be a better fit and with whom we will begin a second, no-risk trial.

• What type of talent does Toptal have?

  Our platform hosts a very diverse range of skill sets and experiences. Our freelancers range from software engineers, user experience designers, business intelligence experts, and product managers to finance experts who have worked at leading tech companies such as Google, Microsoft, and many more.

  Our data engineers are highly skilled in the latest data science technologies. They also have several years of experience in data analysis and neural networks building recommendation engines, machine learning models, data warehouses, and integrating multiple data sources.

• What other services does Toptal provide?

  Besides our talent matching services, we also provide data science solutions like a data science company. Through our Toptal Projects team, we assemble cross-functional teams of senior project managers, data scientists, software engineers, designers, business strategy experts, and other experts. Our team members follow a well-defined development process to build a fully functional solution.

• When should I hire a data scientist?

  You may have reached the limits of an existing reporting platform, or you may have a case of statistical analysis that current employees do not have the capability or expertise to solve. Essentially, if you have business questions or insights that you believe are hidden deep within your data, it’s time to hire a data scientist. A skilled data scientist can help you make sense of your company’s data, and derive insights which help you make important business decisions.

• How do I hire a data scientist?

  The first step is understanding that you need to use your data for specific insight and direction, followed by the next (and most important) step - to hire a data scientist who has the experience level necessary to help you define the goals you want to achieve, through data science knowhow. Toptal data scientists have a deep understanding of how to use both small and expansive datasets to accomplish your business objectives.

• What should I look for in a data scientist?

  It’s essential to seek out a skilled data scientist with clear, demonstrated expertise and a strong background in the subject. Data scientists in the Toptal network are experts in their field, with proficiencies in predictive analytics, data pipelines, machine learning, and more, that can carry your data science goals through from start to finish.