Drawing the line between hiring data scientists or developers can be challenging for growing enterprises. A data scientist analyzes data, while a developer is skilled in programming languages. However, both roles encompass much more than their titles suggest. This article will explore the reasons businesses choose to engage data scientists and developers and the benefits of utilizing IT staff augmentation services.
In our everyday lives, information technology (IT) is pivotal both personally and within the professional sphere. The IT sector operates independently while also influencing various other domains like finance, healthcare, manufacturing, education technology, travel, and entertainment, among others. As companies expand and evolve into larger organizations, IT plays an essential role in managing day-to-day activities and informing critical decisions. Within this landscape, software engineers, AI specialists, machine learning experts, and data professionals emerge as vital components in diverse industries.
The demand for software developers is notably high. Current statistics project that the number of software developers worldwide will reach 28.7 million by 2024. Gartner predicts that global spending on IT services will rise to $5 trillion by 2024, marking a 6.8% increase over 2023. This trend positions IT services as the most significant segment of IT expenditure in the international market.
Practically all startups, small to medium-sized businesses, and large corporations require some form of IT service, including tools, technology, and human expertise. This leads to a crucial decision: should you hire a developer for scaling your enterprise or should you invest in a data scientist? What specific functions do they serve? How can data scientists elevate your business?
Let’s delve into this topic further.
Developer's Contribution to an Organization
At its core, a developer is a specialist who writes code to develop, design, and create software applications. Over time, software development has evolved far beyond just crafting simple applications or games. Generally, developers can be classified into two main categories:
Application Developer: A professional who focuses on a specific sector of development, such as web applications, mobile apps, or native applications, crafting software that satisfies both client and user needs.
System Developer: A specialist responsible for designing operating systems tailored for particular purposes (either for business or consumer applications). They also develop interfaces that enable user interaction with the systems.
Developers have become indispensable across many sectors as they build technologies to help businesses navigate challenges and provide technical solutions. For instance, a software developer may design an application to oversee inventory within a manufacturing entity. They can tailor existing open-source software to fit the manufacturer’s specific needs, ensuring optimized resource management and efficient stock handling.
Nonetheless, not every enterprise needs to maintain a permanent development team. This is where IT staff augmentation comes into play. It allows businesses to hire a developer or an entire team to tackle a specific project, thereby delivering outcomes without the extensive hiring process. This approach can also prove to be more cost-efficient.
Understanding the Role of a Data Scientist
Data science has become a prominent and sought-after career path in the modern era. A data scientist integrates knowledge from various fields such as computer science, statistics, mathematics, and modeling to analyze extensive datasets and realize their potential. In today’s landscape, where data-driven decision-making is seen as optimal for effective business management, having a data scientist on board is invaluable.
When you hire data scientists, their responsibilities typically include the following tasks:
Conducting research on the company and wider industry
Discovering areas for growth and identifying weaknesses
Evaluating which data sets are pertinent for analytics
Enhancing data quality and reliability through cleaning processes
Developing and applying algorithms for automation to handle data
Investigating historical data for latent patterns and trends
Collaborating with developers to build improved models for analysis and insights
Partnering with data analysts and business intelligence experts to create data visualizations
Providing data-informed recommendations to upper management, among other tasks.
Data scientists engage with various forms of data (raw, processed, structured, unstructured, semi-structured, etc.) that may include text, numerical figures, and multimedia components. Statistically driven models and sophisticated tools powered by artificial intelligence and machine learning allow them to process extensive data volumes effectively.
A burgeoning demand for data scientists has made it increasingly challenging to recruit top talent quickly. Yet, IT staffing services simplify the process, enabling businesses to collaborate with seasoned data scientists to enhance data management and align with long-term objectives. Additionally, it's possible to obtain estimates for temporarily hiring data scientists tailored to your organization’s needs.
Is a Data Scientist Also Considered a Developer?
Possessing coding skills and a profound understanding of mathematics, statistics, machine learning, and analytics is expected of a data scientist. However, they do not function as developers, as their primary focus revolves around data utilization. Developers, in contrast, concentrate on system frameworks and software applications.
While there might be overlapping skills, both roles are distinct and serve different purposes. Furthermore, in many cases, a bachelor’s degree suffices for developers, whereas data scientists typically require an advanced (often master's) degree or equivalent.
So, is one role superior to the other?
There isn't a definitive answer to this question. Both positions have unique specifications and significance. Businesses need developers, data scientists, data engineers, and data analysts to establish a robust IT framework and embrace a data-centric decision-making approach.
Should you require an individual with development skills along with advanced capabilities, hiring a data engineer would be more appropriate. Data engineers are tasked with constructing and managing the IT infrastructure and overseeing data management within the organization. This position involves greater responsibilities and complexities compared to a developer.
Fortunately, IT staffing services streamline the process of identifying and selecting the right professionals according to your evolving needs. Staff augmentation services allow businesses to expand their internal teams or create new teams with varied skills. By communicating your requirements or project details, staff augmentation companies can assist in sourcing talented candidates and forming a customized team swiftly. Whether you need a developer, data scientist, or both, these services can facilitate that.
What Does IT Staff Augmentation Entail?
We have referred to IT staff augmentation services multiple times. But what exactly are these services? Why would you consider hiring Python developers, data scientists, or data engineers through staff augmentation firms? Let’s unpack that.
Staff augmentation is a subset of outsourcing. However, it notably differs from traditional outsourcing by giving companies greater authority over their teams, resources, and project direction. Through staff augmentation, you can recruit one or more individuals to work on your project (either on-site or remotely) for a specified duration. These individuals will be considered your employees for that timeframe, integrate with your current workforce, and utilize your resources.
What advantages do staff augmentation services offer to businesses?
Fill critical job vacancies quickly with specialized talents
Only pay for the duration you hire the candidates, accommodating part-time or hourly arrangements
Save time and effort involved in extensive recruitment processes (building a team can take as little as 24-72 hours)
Maintain control over the process (interviewing and selecting candidates, incorporating them into current teams, allocating resources, etc.)
Access experienced professionals at a reasonable cost (many developers and data scientists prefer project-based roles for flexibility while building their portfolios)
Continuous support from the IT staff augmentation firm (including access to tools, technology, and talents with regular reports and updates)
Should You Hire Developers or Data Scientists?
The pivotal question remains: should you prioritize hiring a developer or a data scientist for your organization? Ultimately, the right choice depends on your authenticated needs.
Typically, a company will benefit from employing both developers and data scientists, especially if it seeks to establish and maintain its own IT and data frameworks. If your primary focus is on systems, applications, and tools, hiring a developer would be advisable. Conversely, if your emphasis is on utilizing data for informed decision-making, then data scientists, data engineers, and data analysts become imperative. As businesses scale, striking a balance between these two facets becomes essential, complicating the hiring process.
Making the right choice is context-specific and varies from one organization to another. If uncertainty lingers regarding who to hire, it may be beneficial to consult an IT staff augmentation provider for informed guidance.
Do Businesses Employ Data Scientists?
Organizations specializing in data science naturally hire more data scientists. However, such roles are not confined to specific sectors or niches. Data science is regarded as a lucrative profession, often accompanied by competitive salaries. This is attributable to both the disparity in demand versus supply and the intricate nature of the work, which necessitates proficiency in various programming languages.
According to the Bureau of Labor Statistics, the median yearly salary for data scientists was $108,020 in 2023. Forecasts indicate a 36% growth in demand for data scientists from 2023 to 2033, a rate surpassing many other professions.
Furthermore, some data scientists may transition into roles such as machine learning engineers or data analysts, although the responsibilities of data analysts are comparatively less demanding. Leading companies like Google, Deloitte, PwC, IBM, and Microsoft count data scientists among their workforce, while others may opt to hire data scientists via IT staff augmentation firms.
A common query arises regarding whether Google hires data scientists without formal degrees. The answer is no. Google mandates a master’s degree in a quantitative discipline as a minimum credential for data scientist roles, along with requisite practical experience in fields like IT, computer science, statistics, industrial engineering, or operations research.
Conclusion
When deciding between hiring data scientists or developers, it’s advisable to engage with a reputable staff augmentation company and share your specific needs. Utilizing an estimator tool can provide tailored quotes based on the type of team you wish to assemble.
Your organization doesn’t need to suffer due to fluctuating market demands or unpredictable employment conditions. Collaborating with an IT staff augmentation provider can facilitate the selection of suitable candidates at fair and transparent costs.
