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Hire Data Scientists
To better understand who a Data scientist is and why you would want to hire a data science engineer, let’s take a look at what data science is. Data science as a field works to extract knowledge from structured and unstructured data. On the surface, to do so, it uses algorithms, scientific methods, and systems. But dig deeper, and you will see that it combines statistics, computer programming, mathematics, and information technology (IT) to process and analyze big, intertwined amounts of data. And it is all done with one purpose – derive insights and make predictions about the real world.
What will we cover?
- Hire Data Scientists
- What does a Data Scientist do?
- Why hire a Data Scientist?
- Challenges of hiring a Data Scientist
- Skills to assess in a Data Scientist
- What’s the cost of hiring a Data Scientist?
- + see all
Are you dealing with large databases and are looking to make product predictions based on them? Then you should look into adding a Data Scientist to your team.
Read on to find out more!
Senior Data Scientist with a theory base (Ph.D.), hands-on technical experience, and proven people skills. Hemed has achieved remarkable results working on a diverse range of ML models.
- data science
Meet a man with various interests: Data Science, Machine Learning, crafting sweet code, playing multiple musical instruments, and chess. Impeccable English included.
- data science
- machine learning
- +2 skills
What does a Data Scientist do?
Data Scientist analyzes and interprets large volumes of data generated and provided to them by data engineers. By doing so, they aim to identify similarities, trends, and patterns. With this information, businesses can now make better and more precise decisions, as well as create new products and optimize the existing ones.
Furthermore, a Data Scientist can also develop operational models using machine learning algorithms. These models help companies to forecast future outcomes based on current conditions.
Why hire a Data Scientist?
- Data science experts are a valuable asset in any company when it comes to developing business strategies based on available data. As mentioned earlier, their main task is to analyze large volumes of data to extract insights and make market predictions;
- Besides being able to build predictive models to forecast customer behavior and market trends, they can also develop algorithms for automated decision-making processes;
In other words, an experienced Data Scientist will work to help your businesses make informed decisions regarding product development initiatives, pricing structures, and marketing plans.
Challenges of hiring a Data Scientist
There are two major challenges you might be faced when looking to hire a Data Scientist for your startup.
Number one is finding the right candidate.
This is challenging because a Data Scientist should possess both non-technical and technical skills, such as machine learning algorithms, knowledge of databases and programming languages, statistical analysis techniques, and decision-making. Since the desired skillset varies from company to company, it might be difficult to locate a Data Scientist with the necessary qualifications but also desired educational level and relatable past experience.
Challenge number two is fierce competition
Even when you locate the one and only Data Scientist, you might find it difficult to make them interested enough. Since the demand for data science professionals has grown exponentially over recent years, it became very competetive to attract the top Data Scientists these days. This makes it even more difficult for startups with limited budgets because now you are competing with tech giants who are able to afford higher salaries and sweeter benefits.
On top of that, if you are a company located outside the lines of Silicon Valley or New York City, aka tech clubs, it could look like mission impossible due to lower salaries in other regions of the USA and the globe.
Do these challenges sound like there is no way out? Hang on there! We’ve got a solution.