How to recruit Data Scientists?

The market size of Data science in 2022 was USD 112.12 billion and is expected to grow to an outstanding USD 501.03 billion by 2032 with a Compound Annual Growth Rate (CAGR) of 16.2%. With this growth, the demand for Data Scientists is expected to grow exponentially. This will cause a huge competition between businesses to recruit data scientists who are proficient in their work. This is where the Global Squirrels’ staffing platform will be handy for you. Our SaaS platform allows you to streamline not only your hiring process but also your HR functions, such as payroll management and employee management.

In this blog, we will discuss various factors you need to consider before and while recruiting Data Scientists by discussing how Data Scientists contribute to your business, what to look out for when hiring these professionals, the advantages of hiring them with the top countries to choose from along with the challenges you may face when doing so and lastly will discuss how Global Squirrels solves your challenges.

What can a Data Scientist do for your business?

Data Scientists play a crucial role in enhancing your business operations with the help of data to drive critical decision-making, improve customer experiences, and optimize processes. Let us look at how Data Scientists contribute to your business in a little more detail.

1. Informed decision-making

Data scientists empower your management by providing insights from data analysis. They help you understand your performance metrics and trends, enabling your business to make more strategic decisions with the help of reports rather than just guessing.

2. Identifying opportunities

By conducting appropriate data examinations, data scientists can help your business with recommendations that align with your organizational goals. This includes analyzing the various market trends and looking at how customers respond to identify areas for growth.

3. Mitigating risks

Data scientists develop predictive models to identify potential risks, including fraud detection. By analyzing patterns in data, they can alert you to unusual activities that potentially could lead to fraud or other risks, allowing you to stop them before it is too late.

4. Optimizing operations

With Data Scientists, you can streamline your business operations by identifying inefficiencies and suggesting improvements. This includes optimizing supply chains, enhancing manufacturing processes, and improving service delivery methods.

What things to look for when hiring a data scientist (technical skills and relevant certifications)

When hiring a data scientist, it’s essential for you to evaluate their technical skills and relevant certifications. This helps you understand the quality of work they can provide for your business.

1. Programming languages

Data Scientists must be proficient in programming languages such as Python and R, which is crucial. Python, in particular, is favored for having a large number of libraries like pandas and NumPy that facilitate data manipulation and analysis.

2. Statistical analysis and modeling

Having a strong foundation in statistics is essential for data scientists to be able to interpret data correctly and make predictions. They also should have a good grasp of concepts like regression analysis, probability distributions, and Bayesian statistics.

3. Machine learning

It is essential for data scientists to have a good understanding of machine learning algorithms and their applications. They should also be able to implement models using libraries such as scikit-learn or TensorFlow.

4. Data visualization

They must be able to visualize data, meaning they should be comfortable using data visualization tools like Tableau and Power BI as they help present insights effectively. They must also have storytelling skills to explain the data better.

5. Big data technologies

Data Scientists must be familiar with big data frameworks like Hadoop & Spark and cloud computing platforms such as AWS, Google Cloud, and Azure, which is increasingly important as your business may handle larger datasets.

Here are some relevant certifications you must be aware of:

• IBM Data Science professional certificate

This certificate covers essential Data Science concepts and tools. Once they complete the certification, they gain skills like using Jupyter notebooks for coding and data manipulation, accessing and managing relational databases with SQL, applying machine learning algorithms using Scikit-learn, creating data visualizations with libraries like Matplotlib and Seaborn, and working with real datasets to extract insights and inform decisions.

• Google advanced data analytics professional certificate

This certificate is an online program designed to enhance your data analytics skills, particularly for those who have foundational knowledge in the field. This course focuses on key areas such as statistical analysis, Python programming for data manipulation, machine learning concepts, data visualization with tools like Tableau, and predictive modeling and experimental design. This program covers essential tools for advanced data analytics, including Jupyter Notebook, Python, Tableau, and Kaggle, enabling participants to handle tasks from data cleaning to visualization and analysis effectively.

• AWS-certified data analytics – specialty

The AWS-certified data analytics – specialty (DAS-C01) certification is designed for individuals who perform a data analytics role and wish to validate their expertise in using AWS services to design, build, secure, and maintain analytics solutions. By completing this certification, Data Scientists will have a comprehensive understanding of data analytics concepts and challenges, develop proficiency in AWS data analytics services, and learn to design, build, secure, and maintain analytics solutions using AWS. They will also be able to define how AWS services work together in data collection, storage, processing, and visualization. Through hands-on labs and projects, participants will gain practical experience building data processing solutions and automating workflows with AWS tools. Additionally, they will learn to design cost-efficient, secure, and high-performance analytics architectures while implementing authentication, encryption, and compliance controls. Finally, Data Scientists will be equipped to extract insights from data to drive informed business decisions and validate their expertise in AWS services for business transformation.

Leveraging remote hiring of data scientists

Hiring remote data scientists can be a strategic factor for your business if you are looking to leverage data-driven insights while benefiting from a flexible workforce. This approach not only provides access to a global talent pool but also fosters innovation and adaptability in an increasingly digital landscape.

Cost savings

Hiring Data Scientists remotely allows you to eliminate extra expenses associated with setting up local entities, such as rent, utilities, property taxes, and maintenance costs, while also saving on relocation costs.

Access to a global talent pool

Remote work allows your business to tap into a global talent pool, which allows you to hire Data Scientists who are proficient at their work regardless of their location. This access to diverse skills and perspectives can drive innovation and business success.

Flexibility and productivity

Remote data science jobs offer flexibility in terms of work hours and location. Employees can adjust their schedules to their most productive times and achieve better work-life balance by eliminating commutes. This can increase productivity for your business.

Here are some countries where you can hire Data Scientists remotely:

1. Bangladesh

• Bangladesh is home to many tech companies and startups offering remote data science roles.
• The average monthly salary for data scientists in Bangladesh is $259.08

2. India

• India is known to have a large number of IT-related professionals. This makes it easy for businesses to hire Data Scientists from this country.
• The average monthly salary for data scientists in India is $498.09

3. The Philippines

• The Philippines is a thriving tech ecosystem with many companies embracing remote work.
• The average monthly salary for data scientists in the Philippines is $538.53

What are the challenges of hiring Data Scientists globally, and how does Global Squirrels solve them?

Challenge 1: Disorganized task management

When you try hiring remote Data Scientists, you often may struggle with staying organized and maintaining productivity due to unclear task assignments and tracking. This can lead to confusion and missed deadlines.

Solution: Global Squirrels offers a task assignment feature that allows for both one-time and recurring tasks, with clear start and end dates integrated directly into timesheets. This ensures seamless task tracking, transparency, and accountability for both managers and employees.

Challenge 2: Time-consuming candidate screening

Manually matching candidates’ skills with job duties can be a lengthy and inefficient process, delaying hiring decisions.

Solution: Global Squirrels uses AI-powered job duties and skills matching to automatically identify the best candidates, saving you time and ensuring a more accurate fit between job requirements and skills.

Challenge 3: Complex pay increase and termination requests

Handling pay raises and terminations can be a complicated administrative task, often leading to delays and errors.

Solution: Global Squirrels streamlines these processes by offering a user-friendly portal where you can request pay increases and manage terminations with just a few clicks, ensuring timely, efficient, and accurate execution.

Challenge 4: Undedicated remote freelancers

Hiring freelance Data Scientists may present several challenges due to their lack of commitment, divided focus, and potential for inaccurate billing. Without long-term contracts, freelancers are not obligated to stay, meaning they can stop working without notice, wasting your efforts and resources spent on training. Additionally, since freelancers often juggle multiple clients, their focus can be divided, leading to confusion, delays, and lower-quality work.

Solution: Global Squirrels allows you to hire dedicated Data Scientists with the help of our Purple and Orange plans:

Purple plan: This plan effectively helps you onboard your already chosen Data Scientists. This is done by handling all HR functions, such as payroll management & benefits, and complying with local and international labor laws. Our platform solves the challenge mentioned above by providing Data Scientists with offer letters that include agreements that state that the Data Scientist only works for you and must give you a notice before ending employment with your company.

Orange plan: The Orange plan finds and hires data scientists who meet your business requirements and ensures they receive offer letters with proper agreements and clauses related to work.

How does Global Squirrels streamline remote hiring?

Global Squirrels is a SaaS payroll and staffing platform that enables you to hire workers from a distance on a contract or full-time basis. Our staffing platform’s upfront pricing lets you know precisely what you are paying for. Our platform, in contrast to other staffing companies, does not impose significant markups or additional fees like VMSs or MSPs, saving you money so you can effectively recruit top Data Scientists. One of our primary goals is to assist you in finding Data Scientists who can quickly fulfill your requirements.

With the help of our staffing platform’s latest features, you can now assign work to your Data Scientists and monitor their progress on projects by looking at their timesheets. Along with the ability to request termination, you can also see how many leaves your employee has had. All of this is available on a single dashboard.

What is the hiring process?

Our staffing platform helps you hire Data Scientists globally who meet all your job specifications. This is done by pre-screening the profiles and verifying their background before forwarding the curated profiles to your dashboard. Once you select the Data Scientists you wish to hire, our platform helps you schedule an interview with them by allowing both parties to choose a date and time mutually. When you choose your Data Scientist after the interview rounds, our platform begins the onboarding process. It will handle all the HR functions, such as onboarding, payroll management, compliance with local labor laws, and generating offer letters.

Are you ready to streamline your hiring process? Hire Data Scientists globally by requesting a demo today!