16+ Best Data Job Boards to Kickstart Your Career in Data Science, ML, AI & Analytics

Explore 16+ best data job boards for roles in data science, AI, ML, and analytics. Find your next opportunity today!

We are living in a data-driven world; careers in data science, machine learning, AI, and analytics are just growing crazy. As businesses depend heavily on data for decision-making, the demand for skilled professionals in these sectors is continuously growing.

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In this blog, we will share 16+ best data job boards to help aspiring data professionals kickstart their careers.

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We have categorised the list into:

1. Data Science & AI-Specific Job Boards

2. Freelance and Contract Platforms

3. General Tech Job Board

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Let's start.

A. Data Science & AI-Specific Job Boards

1. Datateams.ai

Datateams.ai is a specialized job board focusing on data science, machine learning, and AI roles.

Datateams.ai offers a curated selection of data job opportunities, emphasizing quality over quantity. Its advanced search filters allow candidates to narrow down positions by specific data science skills, experience levels, and industries.

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2. DataJobs.com

DataJobs.com is a specialized job board created by data scientists for data scientists. It offers a wealth of opportunities in data science, machine learning, and analytics.

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This platform features two distinct job boards: one for data science roles like AI researchers and ML engineers, and another for data engineering positions such as BI developers.

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Pricing: Free access for job seekers; employers pay to post jobs.

Verdict: Best suited for individuals seeking targeted opportunities in data science and data engineering.

3. AI Jobs

The AI Jobs Board is a specialized platform for data science and machine learning professionals. This niche job board caters exclusively to AI and ML roles, so it is a very important resource for both job seekers and employers in the industry.

Key Features

Comprehensive listings: From entry-level to executive positions
Advanced filters: Search by location, experience, and job type
Salary information: Ranges from $60,000 to $300,000+ annually
Company profiles: Featuring top AI firms like OpenAI, DeepMind, and Anthropic

Pricing: Free access for job seekers; employers pay for postings.

Verdict: Perfect for candidates specifically targeting careers in artificial intelligence and machine learning who want a focused job search experience.

4. Datayoshi

Datayoshi is a specialized job board catering to data science and machine learning professionals. This platform stands out for its curated listings and focus on high-quality positions.

Datayoshi excels in connecting top talent with innovative companies but may have fewer entry-level positions compared to larger job boards.

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Pricing: $199 per post for employers seeking candidates.

Verdict: Suitable for candidates looking for personalized job matching services along with valuable career development resources in the data field.

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5. Data Umbrella

Data Umbrella curates job listings from various companies, mainly focusing on roles in data science, machine learning, and AI. The platform's mission is to connect underrepresented groups with exciting opportunities in these fields.

Pricing: Free access for all users.

Verdict: Ideal choice, especially recommended for individuals from underrepresented backgrounds.

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6. Underdog.io

Underdog is a curated marketplace designed to connect talented individuals with startups and tech companies actively seeking skilled professionals. The platform emphasizes quality over quantity by vetting companies before they can post jobs, ensuring that candidates encounter only reputable employers.

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Pros: High-quality job listings from vetted companies enhance trust; a streamlined application process saves time; direct connections with hiring managers increase visibility.

Cons: Limited availability outside tech startups may deter those seeking traditional corporate roles; primarily focused on U.S.-based positions.

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Pricing: Free access for job seekers; companies pay a fee when hiring through the platform.

Verdict: Best suited for tech-savvy individuals eager to join innovative startups while enjoying a 60-second application process.

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7. AAAI Career Center

The AAAI (Association for the Advancement of Artificial Intelligence) Career Center is a platform aimed at connecting professionals with opportunities in AI research. It has a variety of roles within academia and industry focused on advancing AI tech.

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This platform is focused exclusively on AI-related positions, which make sure relevancy in postings; strong community ties through AAAI events build up networking opportunities; and access to resources related to career advancement in AI.

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Limited scope outside of AI-specific roles may deter those seeking broader data science opportunities

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Pricing: Free access for job seekers; employers pay fees based on listing types.

Verdict: Ideal for professionals specifically targeting careers in artificial intelligence.

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8. Outer Join

Outer Join is a premier job board dedicated to remote opportunities in data science, analytics, and engineering. It focuses specifically on connecting data professionals with companies that offer fully remote positions.

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Users can browse a curated list of remote job openings filtered by categories such as data science, analytics, and engineering. The platform focuses on high-quality job listings from reputable companies.

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Pricing: Free access for job seekers.

Verdict: Ideal for data professionals who prioritize remote work and seek to maintain a flexible lifestyle while pursuing rewarding careers in data science and analytics.

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9. Starbridge Partners

Starbridge Partners is an executive search firm specializing in data science, AI, and machine learning recruitment. With job openings, the platforms also share insights into the hiring process and industry trends.

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The platform offers personalized recruitment services tailored to individual candidates' profiles. Users can access a range of job listings specifically targeted at experienced data professionals seeking leadership roles.

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Pricing: Free access for job seekers; employers pay fees for recruitment services.

Verdict: Best suited for experienced data professionals seeking leadership roles within established organizations or innovative startups looking for top talent in data science and analytics.

10. Open Data Science Jobs Board (ODSC)

The Open Data Science Jobs Board is part of the Open Data Science Conference (ODSC) platform that focuses on connecting professionals with opportunities in the fields of data science and AI.

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Users can browse job listings by category and location while accessing resources related to ongoing trends in data science.

Pricing: Free access for job seekers; free posting for employers.

Verdict: Ideal for professionals looking to engage with cutting-edge projects in data science and AI while benefiting from a community-focused environment.

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B. Freelance & Contract Platforms for Data Professionals

11. Toptal

Toptal is a marketplace connecting top-tier data science and machine learning freelancers with leading global clients. This platform stands out by offering access to the top 3% of talent in these fields, which means quality > anything.

Key Features and Benefits

Rigorous screening process to ensure top-quality talent
Flexible remote work opportunities with Fortune 500 companies and startups
Personalized matching based on skills and preferences
Transparent pricing with freelancers setting their own rates
Timely payments and streamlined invoicing

Pricing: Free access for freelancers; Toptal takes a commission from client payments based on project fees.

Verdict: Best suited for highly skilled freelancers looking to work with leading companies on challenging projects while enjoying flexible working conditions.

12. Upwork

Upwork is one of the largest freelance marketplaces globally and includes a dedicated section specifically designed for data science and analytics projects. This platform allows freelancers at all levels—from beginners to seasoned experts—to find diverse project opportunities that match their skill sets.

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Pricing: Free sign-up option is available, but fees apply when accepting projects based on the earnings tier structure set by Upwork itself.

Verdict: Ideal for freelancers at all levels looking to build their portfolio while working on diverse projects across multiple industries related directly or indirectly to data analysis/science/ML tasks.

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13. Freelancer

Freelancer is another widely used platform for beginners to gain experience while building up their portfolios through small gigs before signing up large contracts.

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This platform allows users from various backgrounds—including those specializing in data science—to bid on numerous projects across different fields, including analytics tasks or software development involving ML components, among others.

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Pricing: A free membership option is available, but fees apply when accepting projects.

Verdict: Great choice, especially recommended to newcomers wanting to gain valuable insight/experience.

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C. General Tech Job Boards with Strong Data Roles

14. WellFound

WellFound (formerly AngelList) is a premier platform for startups and job seekers in the tech industry, especially for those in data science and machine learning fields.

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This job board connects innovative companies with top-tier talent, and it mainly offers a unique glimpse into the startup ecosystem.

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Pros: Direct access to startups; transparency regarding salaries and equity; opportunity to work in a dynamic environment where innovation thrives. Cons: Startups may offer less stability compared to established companies; job listings can vary significantly in terms of quality and expectations.

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Pricing: Free for job seekers.

Verdict: Ideal for those looking to join innovative startups in the tech sector.

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15. Stack Overflow Jobs

Often overlooked, but great for technical data jobs. While primarily known as a Q&A platform for developers, Stack Overflow Jobs is a hidden gem for data science and machine learning people. This niche job board caters specifically to technical roles.

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Pros: Access to a community of developers; company reviews provide insights into workplace culture; targeted listings ensure relevance.

Cons: May not have as many listings specifically for data roles compared to niche platforms; primarily focused on software development roles.

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Pricing: Free for job seekers.

Verdict: Great for developers looking to transition into data science or analytics roles, but as of now only available in US.

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16. LinkedIn Jobs

LinkedIn Jobs is a powerhouse platform for data science and machine learning professionals finding new opportunities. This versatile job board seamlessly integrates with LinkedIn's huge professional network.

Key Features

Advanced search filters for data-specific roles
"Easy Apply" option for quick applications
Job recommendations based on your profile
Ability to see mutual connections at hiring companies

Pros: Extensive network opportunities enhance visibility; personalized job recommendations improve chances of finding suitable roles; easy application process through profile integration.

Cons: High competition due to the large number of users, and some listings may be outdated or lack detailed descriptions.

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Pricing: Free access for job seekers; premium features available at a cost for additional insights and networking opportunities.

Verdict: Important for anyone serious about networking while searching for jobs in data science or analytics across various industries.

Bonus Tips for Landing a Data Job

Securing a job in data science, machine learning, AI, or analytics is competitive, but with the correct plan and strategies, you can increase your chances. Here are some tips you can follow.

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1. Optimize Your Resume for ATS Systems

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Many (most) companies use ATS (application tracking system) to filter out resumes before they reach an actual hiring manager. To make sure that resume reaches the hands of managers, it is important to tailor it in a way that it includes data-related and relevant keywords to the positions you are applying for.

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Action steps:

Research Job Descriptions: Identify common terms and phrases used in job postings for data roles. Add these keywords naturally into your resume.
Highlight Relevant Skills: Focus on technical skills such as programming languages (Python, R), tools (Tableau, SQL), and methodologies (machine learning, data visualization) that are frequently mentioned in job descriptions.
Use Standard Formatting: Avoid complex layouts that may confuse ATS software. Stick to a clean, simple format with clear headings and bullet points.

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2. Contribute to Open Source Projects

Contributing to open source projects on platforms like Github not only increases your technical skills but also increases your visibility among companies. Companies often look for candidates that are collaborative and have built or have contributed to some real world projects.

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Action Steps:

Find Projects That Interest You: Look for open source projects related to data science or machine learning that align with your interests or career goals.
Make meaningful contributions: Start by fixing bugs, improving documentation, or adding features.
Showcase Your Contributions: Add links to your GitHub profile on your resume and LinkedIn profile. Highlight specific projects you've contributed to during interviews.

3. Engage with Communities

Networking is a very important part of any job search, mainly in the tech industry. Engaging with communities can help you learn from others and gain insights into the industry.

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Action Steps:

Join Online Forums: Participate in platforms like Kaggle where you can engage in competitions and discussions with other data professionals.
Follow Relevant Subreddits: Join Reddit threads focused on data science, machine learning, and analytics to stay updated on industry trends and job postings.
Leverage LinkedIn Groups: Join LinkedIn groups related to data science and actively participate in discussions. This can help you connect with professionals who may share job openings or provide valuable advice.

Conclusion

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The demand for data guys is growing at a crazy speed. In this article we covered some popular yet unique job boards for beginners and professional in the data industry. But remember, job boards will only help you to apply to jobs; the competition in this landscape will not change because of job boards.

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Lastly, be proactive—join communities, participate in competitions, and keep updating your portfolio to stay competitive. Your dream data job could be just a few clicks away, so dive in, explore these platforms, and start applying with confidence!

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Happy Researching.

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16+ Best Data Job Boards to Kickstart Your Career in Data Science, ML, AI & Analytics

A. Data Science & AI-Specific Job Boards

1. Datateams.ai

2. DataJobs.com

3. AI Jobs

4. Datayoshi

5. Data Umbrella

6. Underdog.io

7. AAAI Career Center

8. Outer Join

9. Starbridge Partners

10. Open Data Science Jobs Board (ODSC)

B. Freelance & Contract Platforms for Data Professionals

11. Toptal

12. Upwork

13. Freelancer

C. General Tech Job Boards with Strong Data Roles

14. WellFound

15. Stack Overflow Jobs

16. LinkedIn Jobs

Bonus Tips for Landing a Data Job

1. Optimize Your Resume for ATS Systems

2. Contribute to Open Source Projects

3. Engage with Communities

Conclusion

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