Our tech talent network consists of hundreds of on-site talents, off-site collaborators and top software houses. We will pick data science superstars perfectly fitted for your company culture, industry and technology.
Our goal is not to simply deliver the project. We will help you build a hypergrowth environment around your technology and your mobile product.
Even the best code is just a part of success. We will provide you with interdisciplinary team of tech business talents, from project managers and strategy consultants to sales and marketing experts.
We take the best principles of agile approach to software develolpment and expand it to other project's areas, to ensure the highest efficiency and transparency of our expert's work.
You tell us about your challenges and business goals.
Based on that information we provide you with top software talents perfectly matching your needs.
Together we brief the newly created team and kick-off the project.
Poof! Your tailor-made squad of experts is ready to work!
We’ve been extremely satisfied. We work with multiple partners, but they’re our main supplier because of the quality of their work.View the case study
Improve the decision-making processes at your company. With great data scientists on board, you can come up with solutions and new paths for your business that are based on data and not only on intuition.
Recognize changes and turns on your market before they happen. Using sophisticated machine learning models, data scientists can accurately predict the future and propose the way forward.
Protect the safety of your customers and keep your precious data away from hackers. Data scientists can help you detect potential breaches in your current cybersecurity systems, so you can patch them swiftly.
Deliver personalized offers and content that sells. With the help of data scientists, you can build models that assess the needs of your customers and deliver suggestions on how to connect them more with your brand.
In the modern business environment, nearly everything can be turned into data and analyzed by experts. Data science can have a huge impact on every area of your business, from marketing and sales to HR and software development. There is no industry that can hide from being measured and influenced by data. Professionally built machine learning can even help medical patients understand better their health condition and bank clients review their spendings. More generally, however, businesses use data science for things like:
What’s more, thanks to the technological advancements, we no longer think of data as something that only describes the past or present. In fact, the power lies in how data can help with predicting the future.
As data became the new trend, the business started changing their attitude from „why hire data scientists?” to „how can I hire data scientists?”. We’ve already answered the first question — time to answer the second one, a more important one, as data scientists are now in constant demand, and finding one that truly fits your business might be tricky.
Data scientists work on multiple fields related to data in order to deliver the best possible predictions for the business they work for. Their job responsibilities might differ depending on multiple factors, such as what other people are included in the data team (we delve into this in the next section of our guide) and the current needs of the company.
However, data scientists most often…
For the best understanding of the role of data scientists, it’s also important to clearly divide them from data analysts and data engineers. These three terms are sometimes used interchangeably which shouldn’t be the case.
Unlike data scientists, data analysts most often do not build machine learning or any other sophisticated data-related models. They are usually analyzing data provided to them by others, often from one source, in order to get new insights on current problems. On the other hand, data scientists leverage machine learning and other relevant technologies to try to predict the future. To do it, they incorporate in their work data from multiple sources, often disconnected.
How about data engineers? They are the people who mine the data from different sources and build pipelines to deliver this data to people who will later incorporate it in their research, such as data analysts or data scientists. Data scientists might also mine data themselves if separate data engineers are not present at the company.
When you want to hire data scientists, you should first and foremost think about whether they have the skills to deliver the results you need. Beware of data analysts who apply for the job — many of them might not have the hard skills needed for a data scientist role. What are those skills?
Although the job of a data scientist is surely a very technical one, a set of specific soft skills also comes in handy. They support not only the efficiency and quality of one’s work but also have a great impact on team collaboration and innovation.
What soft skills should you be specifically looking for when you plan to hire data scientists?
Best data scientists are usually graduates (often with a Master’s degree) in fields like computer science, statistics, maths, physics, or various types of engineering. They usually make use of the time in academia by taking courses on topics like:
When you want to hire data scientists, it’s also important to assess their experience. Focus on the candidates who have already worked in a business environment (instead of only in academia) and even more specifically on those who cooperated with companies within your industry.
To assess the skills and knowledge of your data scientist candidate, running a technical interview is a must. Such an interview can take different forms, e.g. a set of questions to be answered or a task that can be completed by the candidate at home. Whatever is your choice, if you are not a data expert yourself, you should ask a specialist to help you with running the interview. This can be either another data scientist or data-focused software consultant/IT Project Manager.
What kind of questions can be asked during a data scientist job interview?
When you hire data scientists, you take the first step to improving decision-making and innovating your business. The level of this improvement can be even higher if you decide to build an even broader data team, one that includes experts like AI developers, data engineers, or GAN networks experts.
Whatever type of tech talent you need, Ideamotive can supply. We run a leading network of IT professionals looking for new career opportunities. From ML and AI experts to web developers and IT project managers, we can connect you with the right people based on your company profile, product specification, and any other requirements you might have.
Get in touch with us today to build a tailored team of IT experts.