Important Notice       Be aware of a scam where Redfish employees are being impersonated via WhatsApp and text messages

Read the Notice

CATCH OF THE DAY

High-tech industry news, companies, jobs, innovation and trends.

The Best Data Science Recruiting Agencies in 2024

Table of Contents

  • [toc headings="h2,h3" title="Table of Contents"] Hiring the right data science talent is essential for businesses looking to leverage the power of data-driven insights. However, identifying and recruiting skilled data scientists can be a daunting task. Companies across fields need to make data-driven decisions, and this means there are more employers than ever before competing for a limited pool of talent with this knowledge and expertise. With employment of data scientists projected to increase by 36% by 2031, finding and attracting data professionals is only likely to become more challenging over the coming years. This is where recruiting agencies can be a game changer for any organization with challenging data science jobs to fill. These firms specialize in identifying the most qualified candidates across the technology world and connecting them with the businesses where they can thrive and grow their careers. Whether you're a hiring manager with a tricky role to fill or a data scientist looking for guidance to take their career to the next level, the recruiting firms below can help.

  • The top 7 data science recruiters

  • 1. Redfish Technology

  • As the premier IT and technology recruiters in the United States, Redfish Technology has worked in the technology industry for more than 25 years. This extensive experience is at the heart of their success placing highly-skilled data scientists in a variety of industries, from tech startups to healthcare and the life sciences. Redfish is especially adept at finding in-demand talent, including those with skills in artificial intelligence and machine learning, as well as data analytics, ecommerce sales, and information security. With offices in cities across the country, including New York, San Francisco, Chicago, and Austin, they connect clients with the top talent the industry has to offer. Read more about Redfish Technology

  • 2. Nexus IT Group

  • Nexus IT Group is another data science recruitment agency with a broad reach. They have offices in 10 cities, including tech hotspots like Boston, Atlanta, Dallas, and Denver. They're the go-to recruitment partner for major brands like Amazon and Goldman Sachs, who trust Nexus to find solutions to their data science hiring challenges. Nexus fills a range of roles in data science and big data, from data mining, data engineering, and data analysis experts to managers and executives with experience leading teams and projects. The speed and quality of Nexus hires is what keeps their clients coming back, with 81% of successful candidates submitted within a week and 96% of placed talent still employed after a year. Read more about Nexus IT Group

  • 3. Paltron

  • Paltron is more than a recruiting agency. They brand themselves as the personnel consulting firm of the future, and this is an apt description of the services they provide to clients. As a headhunter, they specialize in data-driven executive search services, drawing on their in-depth industry knowledge as technology consultants to identify the data experts and IT leaders your company needs on its team. Their exclusive network of more than 600,000 candidates includes candidates skilled in data warehousing, deep learning, business intelligence, and other key jobs crucial to business success. They choose the right candidates from this vast pool with a comprehensive selection process that includes a two-stage interview and full vetting before resumes are presented to hiring teams. Read more about Paltron

  • 4. Averity

  • Based in New York City, Averity is an award-winning recruitment agency dedicated to placing the top data science and engineering talent the Big Apple has to offer. They recruit data scientists with expertise in machine learning, NLP, deep learning, AI, and other in-demand positions in today's technology landscape. They balance thorough tech knowledge with a collaborative and human-centric culture, aiming to build authentic relationships with both client companies and the job seekers they place with them. Their transparent 5-point recruitment system covers every step of recruitment, from the initial search through onboarding, to ensure a smooth process and a perfect match every time. Read more about Averity

  • 5. Burtch Works

  • The omni-channel hiring solutions offered by Burtch Works provides an innovative, curated hiring experience for both job seekers and the organizations that hire them. They use a mix of proprietary technology and a personalized high-touch approach for their full range of hiring solutions, which include contract, direct hire, retained search, and managed services. Data science, data engineering, and ML/AI talent is the primary focus on Burtch Works, and they have an extensive network of experienced professionals ready to put their data-driven insights to work for your business. Read more about Burtch Works

  • 6. Motion Recruitment

  • From Silicon Valley to Boston (and most of the major markets in between them), Motion Recruitment places data scientists who will make an immediate and lasting impact on the companies that hire them. Their robust market research strategy means they have their finger on the pulse of the tech talent landscape and are turned in to the latest industry and hiring trends. Each of their recruitment teams is hyper-specialized on a single tech category, giving them deep knowledge and expertise of the unique skills and terminology needed for each of their focus areas. Their ability to precisely match job seekers with roles gives them an impressive 92% candidate offer acceptance rate. In short, when they present a candidate, you can count on them to be an ideal fit. Read more about Motion Recruitment

  • 7. CalTek Staffing

  • CalTek Staffing is one of the leading machine learning and engineering staffing firms in the US. Based in San Diego, the majority of their more than 20 locations are in California, Arizona, Texas, and Washington, though they also operate in east coast cities like Atlanta. They place data scientists in positions across industries, from automotive and aerospace companies to those in electronics, pharmaceuticals, and telecommunications. Whether you need temporary talent for a short-term project or direct hire of a critical machine learning role, CalTek's AI-driven sourcing software and extensive talent network enable them to find people that perfectly meet the requirements of your position. Read more about CalTek Staffing

  • Qualities to look for in a data science recruiter

  • Like many areas of the technology sector, data science is a fast-growing and rapidly-evolving field. Because of this, industry expertise is the first thing you want to look for in a recruitment firm. You want to work with people who are intimately familiar with, not just the specific skills and technologies employees in that area need to thrive today, but also know where to find these candidates and what they look for in a role. Along with expertise, the recruiter's track record of success is something to consider. Read the reviews, testimonials, and case studies from past clients to gauge their past success filling similar roles. In addition to their initial placement success rate, see if you can find information on the long-term success of those candidates and how long they remain in the role after hiring. Consistently achieving a good long-term fit is often the hallmark of an effective recruitment strategy. The size and make-up of the recruiter's candidate network is something else to consider. You want to partner with a firm that has access to a wide range of talented professionals. The larger the recruiter's network, the more likely they'll be to quickly find someone who is a perfect match within it. Along with the size of their network, look for an agency with access to a diverse array of talent pools. Not only will this help you to hire diverse talent, but it will also make it more likely they can connect you with candidates you wouldn't be likely to find on your own. Finally, do some research on the agency's recruitment process and how they communicate with clients and candidates. As a hiring manager, you want to find someone who will put in the initial due diligence to fully understand the specific needs and requirements of your company and role. As a candidate, you want to work with someone who understands your career goals and the specific skills you bring to the table. Look for someone who is transparent about their search and screening methods, who will communicate with you frequently and efficiently. Having a single designated point of contact within the agency is always a plus, too, ensuring you have a go-to person who can answer any questions you have throughout the process.

  • Tips for finding the right data science recruiter as a candidate

    • Consult with your network and industry groups about their experiences. Getting a first-hand perspective on the experience of working with a recruiter can give you valuable insights about whether their service will be a good fit for you.
    • Consider their main clients or past companies they've worked with. Many recruiters will list some of their current or past clients on their website. You can also look at testimonials and reviews to get a sense for the type, size, and industry of companies they tend to work with, and whether these are places where you can see yourself building a career.
    • Gauge how much support they give to candidates. Some recruitment agencies are hands-on with the job seekers in their network, providing resume and application advice and guiding them through the interview and onboarding stages. Others aren't as invested in building their candidate relationships and will be more transactional in their interactions. Finding the style and level of support that matches your preferences will give you the best chance of success in your job search.

  • Tips for employers to choose the best data science recruitment firm

    • Evaluate what services they offer. Some firms only do direct hire placements. Others have a range of options, from contract and temp-to-hire through managed services or building entire teams. Knowing what type of role you are hiring into can help you choose the right firm for your needs.
    • Consider their specialty. While many recruitment firms can fill a variety of roles, they often have a particular area of type of job they focus on. A firm that excels in technology executive search may not be as effective at hiring individual contributors in the data science space, for instance, so you'll set yourself up for success hiring a firm that focuses on your specific type of role.
    • Look for customized and flexible solutions. Every company and search is unique, and a successful recruiting firm understands this. During your initial conversation, ask about their recruitment strategy and how they adjust it to match the needs of their clients.

  • Do you need a data science recruiter?

  • In the highly competitive field of data science, attracting and retaining top talent is crucial for business success. Recruitment agencies play a vital role in connecting companies with skilled data scientists and simplifying the hiring process on both sides of the equation. There are numerous benefits to partnering with a recruiting firm for both candidates and organizations. For job seekers, a recruiter can provide valuable insights on how to best represent yourself to hiring managers, making it more likely you'll land the right job for your skills, experience, and career goals. They can also connect you with opportunities you may not have found on your own, including openings that aren't listed on job marketplaces. For hiring managers, partnering with a recruitment expert can save time in the search. It also expands your reach to include the recruiter's talent network, giving you access to a wider and more diverse talent pool and making it easier to find a data scientist who is a perfect fit for your company culture and business needs. In short, working with a recruitment agency can be a win-win for both candidates and the companies that hire them, especially in a dynamic and active industry like data science.

Hiring the right data science talent is essential for businesses looking to leverage the power of data-driven insights. However, identifying and recruiting skilled data scientists can be a daunting task. Companies across fields need to make data-driven decisions, and this means there are more employers than ever before competing for a limited pool of talent with this knowledge and expertise. With employment of data scientists projected to increase by 36% by 2031, finding and attracting data professionals is only likely to become more challenging over the coming years.

This is where recruiting agencies can be a game changer for any organization with challenging data science jobs to fill. These firms specialize in identifying the most qualified candidates across the technology world and connecting them with the businesses where they can thrive and grow their careers. Whether you’re a hiring manager with a tricky role to fill or a data scientist looking for guidance to take their career to the next level, the recruiting firms below can help.

The top 7 data science recruiters

1. Redfish Technology

As the premier IT and technology recruiters in the United States, Redfish Technology has worked in the technology industry for more than 25 years. This extensive experience is at the heart of their success placing highly-skilled data scientists in a variety of industries, from tech startups to healthcare and the life sciences. Redfish is especially adept at finding in-demand talent, including those with skills in artificial intelligence and machine learning, as well as data analytics, ecommerce sales, and information security. With offices in cities across the country, including New York, San Francisco, Chicago, and Austin, they connect clients with the top talent the industry has to offer.

Read more about Redfish Technology

2. Nexus IT Group

Nexus IT Group is another data science recruitment agency with a broad reach. They have offices in 10 cities, including tech hotspots like Boston, Atlanta, Dallas, and Denver. They’re the go-to recruitment partner for major brands like Amazon and Goldman Sachs, who trust Nexus to find solutions to their data science hiring challenges. Nexus fills a range of roles in data science and big data, from data mining, data engineering, and data analysis experts to managers and executives with experience leading teams and projects. The speed and quality of Nexus hires is what keeps their clients coming back, with 81% of successful candidates submitted within a week and 96% of placed talent still employed after a year.

Read more about Nexus IT Group

3. Paltron

Paltron is more than a recruiting agency. They brand themselves as the personnel consulting firm of the future, and this is an apt description of the services they provide to clients. As a headhunter, they specialize in data-driven executive search services, drawing on their in-depth industry knowledge as technology consultants to identify the data experts and IT leaders your company needs on its team. Their exclusive network of more than 600,000 candidates includes candidates skilled in data warehousing, deep learning, business intelligence, and other key jobs crucial to business success. They choose the right candidates from this vast pool with a comprehensive selection process that includes a two-stage interview and full vetting before resumes are presented to hiring teams.

Read more about Paltron

4. Averity

Based in New York City, Averity is an award-winning recruitment agency dedicated to placing the top data science and engineering talent the Big Apple has to offer. They recruit data scientists with expertise in machine learning, NLP, deep learning, AI, and other in-demand positions in today’s technology landscape. They balance thorough tech knowledge with a collaborative and human-centric culture, aiming to build authentic relationships with both client companies and the job seekers they place with them. Their transparent 5-point recruitment system covers every step of recruitment, from the initial search through onboarding, to ensure a smooth process and a perfect match every time.

Read more about Averity

5. Burtch Works

The omni-channel hiring solutions offered by Burtch Works provides an innovative, curated hiring experience for both job seekers and the organizations that hire them. They use a mix of proprietary technology and a personalized high-touch approach for their full range of hiring solutions, which include contract, direct hire, retained search, and managed services. Data science, data engineering, and ML/AI talent is the primary focus on Burtch Works, and they have an extensive network of experienced professionals ready to put their data-driven insights to work for your business.

Read more about Burtch Works

6. Motion Recruitment

From Silicon Valley to Boston (and most of the major markets in between them), Motion Recruitment places data scientists who will make an immediate and lasting impact on the companies that hire them. Their robust market research strategy means they have their finger on the pulse of the tech talent landscape and are turned in to the latest industry and hiring trends. Each of their recruitment teams is hyper-specialized on a single tech category, giving them deep knowledge and expertise of the unique skills and terminology needed for each of their focus areas. Their ability to precisely match job seekers with roles gives them an impressive 92% candidate offer acceptance rate. In short, when they present a candidate, you can count on them to be an ideal fit.

Read more about Motion Recruitment

7. CalTek Staffing

CalTek Staffing is one of the leading machine learning and engineering staffing firms in the US. Based in San Diego, the majority of their more than 20 locations are in California, Arizona, Texas, and Washington, though they also operate in east coast cities like Atlanta. They place data scientists in positions across industries, from automotive and aerospace companies to those in electronics, pharmaceuticals, and telecommunications. Whether you need temporary talent for a short-term project or direct hire of a critical machine learning role, CalTek’s AI-driven sourcing software and extensive talent network enable them to find people that perfectly meet the requirements of your position.

Read more about CalTek Staffing

Qualities to look for in a data science recruiter

Like many areas of the technology sector, data science is a fast-growing and rapidly-evolving field. Because of this, industry expertise is the first thing you want to look for in a recruitment firm. You want to work with people who are intimately familiar with, not just the specific skills and technologies employees in that area need to thrive today, but also know where to find these candidates and what they look for in a role.

Along with expertise, the recruiter’s track record of success is something to consider. Read the reviews, testimonials, and case studies from past clients to gauge their past success filling similar roles. In addition to their initial placement success rate, see if you can find information on the long-term success of those candidates and how long they remain in the role after hiring. Consistently achieving a good long-term fit is often the hallmark of an effective recruitment strategy.

The size and make-up of the recruiter’s candidate network is something else to consider. You want to partner with a firm that has access to a wide range of talented professionals. The larger the recruiter’s network, the more likely they’ll be to quickly find someone who is a perfect match within it. Along with the size of their network, look for an agency with access to a diverse array of talent pools. Not only will this help you to hire diverse talent, but it will also make it more likely they can connect you with candidates you wouldn’t be likely to find on your own.

Finally, do some research on the agency’s recruitment process and how they communicate with clients and candidates. As a hiring manager, you want to find someone who will put in the initial due diligence to fully understand the specific needs and requirements of your company and role. As a candidate, you want to work with someone who understands your career goals and the specific skills you bring to the table. Look for someone who is transparent about their search and screening methods, who will communicate with you frequently and efficiently. Having a single designated point of contact within the agency is always a plus, too, ensuring you have a go-to person who can answer any questions you have throughout the process.

Tips for finding the right data science recruiter as a candidate

  • Consult with your network and industry groups about their experiences. Getting a first-hand perspective on the experience of working with a recruiter can give you valuable insights about whether their service will be a good fit for you.
  • Consider their main clients or past companies they’ve worked with. Many recruiters will list some of their current or past clients on their website. You can also look at testimonials and reviews to get a sense for the type, size, and industry of companies they tend to work with, and whether these are places where you can see yourself building a career.
  • Gauge how much support they give to candidates. Some recruitment agencies are hands-on with the job seekers in their network, providing resume and application advice and guiding them through the interview and onboarding stages. Others aren’t as invested in building their candidate relationships and will be more transactional in their interactions. Finding the style and level of support that matches your preferences will give you the best chance of success in your job search.

Tips for employers to choose the best data science recruitment firm

  • Evaluate what services they offer. Some firms only do direct hire placements. Others have a range of options, from contract and temp-to-hire through managed services or building entire teams. Knowing what type of role you are hiring into can help you choose the right firm for your needs.
  • Consider their specialty. While many recruitment firms can fill a variety of roles, they often have a particular area of type of job they focus on. A firm that excels in technology executive search may not be as effective at hiring individual contributors in the data science space, for instance, so you’ll set yourself up for success hiring a firm that focuses on your specific type of role.
  • Look for customized and flexible solutions. Every company and search is unique, and a successful recruiting firm understands this. During your initial conversation, ask about their recruitment strategy and how they adjust it to match the needs of their clients.

Do you need a data science recruiter?

In the highly competitive field of data science, attracting and retaining top talent is crucial for business success. Recruitment agencies play a vital role in connecting companies with skilled data scientists and simplifying the hiring process on both sides of the equation.

There are numerous benefits to partnering with a recruiting firm for both candidates and organizations. For job seekers, a recruiter can provide valuable insights on how to best represent yourself to hiring managers, making it more likely you’ll land the right job for your skills, experience, and career goals. They can also connect you with opportunities you may not have found on your own, including openings that aren’t listed on job marketplaces.

For hiring managers, partnering with a recruitment expert can save time in the search. It also expands your reach to include the recruiter’s talent network, giving you access to a wider and more diverse talent pool and making it easier to find a data scientist who is a perfect fit for your company culture and business needs.

In short, working with a recruitment agency can be a win-win for both candidates and the companies that hire them, especially in a dynamic and active industry like data science.