Finding the Best in Just 30 Hours: How beecrowd powered Vale’s Data Talent Search

The partnership between Vale and beecrowd streamlined recruitment, enabling the swift and effective hiring of top data science and engineering talent. By leveraging an automated, unbiased selection process, Vale reduced recruitment time and secured professionals for its AI and technology projects. This collaboration supports Vale’s commitment to innovation, maintaining momentum in strategic initiatives, and serves as a model for efficient recruitment to meet global challenges.

About Vale S.A.

Vale S.A., one of the world’s largest mining and logistics companies, operates in over 30 countries and employs over 160,000 people. Founded in 1942, the company is a global leader in the production of iron ore, pellets, and nickel, with a revenue exceeding USD 40 billion. Vale is committed to continuous innovation, especially in the technology sector, seeking to optimize its processes, reduce environmental impacts, and enhance operational efficiency.

As part of its ongoing transformation, Vale launched a talent insourcing program to recruit skilled professionals for its data science and engineering projects, focusing on artificial intelligence. Like many companies, Vale faced the usual challenges associated with recruiting top-tier tech talent in a competitive market. Addressing these challenges swiftly was critical to supporting its technology-driven initiatives. This is where beecrowd stepped in, providing a solution that enabled Vale to meet its tight recruitment deadlines effectively.

Challenges Faced by Vale S.A.

Vale encountered typical obstacles commonly faced by companies when recruiting for high-demand tech roles:

  1. Delay in Closing Job Openings:
    Recruitment for specialized positions, particularly in data science and AI, was taking longer than expected, resulting in delays that impacted critical projects.
  2. Impact on Projects:
    Delays in recruitment directly affected technology-driven projects, especially those related to artificial intelligence and data science.
  3. Work Modality vs. Candidate Expectations:
    Vale’s work modalities, including remote and hybrid options, were not always aligned with candidates’ expectations, leading to a mismatch in job preferences.
  4. Misalignment in Job Title Nomenclature:
    Differences between how Vale defined job titles and how candidates understood these roles created confusion, making it harder to attract the right talent.
  5. Salary Incompatibility:
    Vale faced challenges in aligning salary offers with market expectations, particularly in the competitive fields of data science and engineering.

beecrowd’s Solution

To address these challenges, Vale partnered with beecrowd, leveraging the platform’s automated and unbiased selection process to evaluate candidates quickly and effectively. beecrowd’s solution provided Vale with a streamlined recruitment process that met the company’s strict deadlines, allowing it to focus on hiring the best professionals for critical roles in AI and data science. Here’s how beecrowd helped:

  1. Automated, Unbiased Candidate Evaluation:
    beecrowd’s fully automated platform assessed candidates based solely on technical skills, ensuring the selection of the most qualified professionals. With this approach, Vale was able to evaluate over 2,300 candidates in just 30 hours, meeting tight timelines.
  2. Accurate Measurement of Skills:
    beecrowd’s platform offered a comprehensive technical assessment tailored to data science and AI roles. This allowed Vale to evaluate candidates’ actual skills in real-world coding challenges and problem-solving scenarios.
  3. Quick Response Time:
    The platform’s efficiency enabled Vale to complete the evaluation process in record time—30 hours to assess over 2,300 candidates—allowing the company to maintain its recruitment momentum and meet project deadlines.
  4. Clarity in Results:
    beecrowd provided detailed reports on each candidate’s performance, offering clear insights into their technical abilities. This transparency ensured that Vale could make informed, data-driven decisions when selecting talent.
  5. Efficient Partnership:
    The collaboration between Vale and beecrowd was efficient, enabling Vale to reduce recruitment time and streamline the hiring process. By leveraging beecrowd’s platform, Vale was able to select the best candidates quickly and with confidence.

Benefits Achieved

The implementation of beecrowd’s solution resulted in significant benefits for Vale:

  1. Reduced Recruitment Time:
    The automated evaluation process drastically reduced the time required to assess and hire candidates, allowing Vale to meet its tight recruitment deadlines.
  2. Accurate Skill Measurement:
    With beecrowd’s comprehensive assessments, Vale could accurately identify the best candidates for their data science and engineering roles, ensuring that the right talent was selected for key projects.
  3. Quick Turnaround:
    The fast-paced recruitment process allowed Vale to maintain project momentum, avoiding delays and ensuring that teams could move forward with their work without disruption.
  4. Clear, Data-Driven Results:
    The detailed reports and clear performance metrics helped Vale make well-informed hiring decisions, ensuring that only the most qualified candidates were selected.
  5. Efficient and Reliable Partnership:
    beecrowd’s efficient and reliable support throughout the recruitment process made it easy for Vale to integrate the platform into its operations, ensuring a smooth and successful partnership.

Final Takeaways

The partnership between Vale and beecrowd helped address key recruitment challenges while enabling the company to fill critical data science and engineering roles quickly and effectively. By leveraging an automated, unbiased selection process, Vale reduced recruitment time and selected top talent for its artificial intelligence and technology projects.

This collaboration allowed Vale to continue its commitment to technological innovation and maintain momentum in its strategic projects. As Vale expands its technology capabilities, the partnership with beecrowd provides a model for how companies can streamline their recruitment process, reduce delays, and ensure they have the best talent to meet global challenges.

The beecrowd team demonstrated great ability to understand our needs, delivering fast and effective solutions. The technical assessment process was completed in record time, in an automated and unbiased manner, ensuring clarity in the results, free from bias. This efficiency significantly contributed to optimizing recruitment and reducing selection time.
Fabiana Nahas
Talent Acquisition – VALE S.A.

Download the Case Study

About beecrowd

beecrowd brings together businesses, educational institutions, and tech talent in a dynamic global ecosystem. For companies, it revolutionizes the hiring, staffing and team building processes by offering access to pre-vetted tech talent in the top 1% across five seniority levels. This enables businesses to quickly and efficiently build high-performing teams, saving time and resources while ensuring exceptional quality.

Educational institutions leverage beecrowd to transform coding education. The platform provides tools that empower faculty with ready-to-use problem sets, enhance student engagement through interactive challenges, and simplify class management by automating grading and tracking learning progress in real time. This fosters an enriched learning experience that prepares students for real-world tech careers.

For tech professionals and students, beecrowd is more than a platform — it’s a community. Members can learn at their own pace through diverse challenges, compete with peers globally, win prizes, and enjoy the thrill of problem-solving. It also opens doors to career advancement, connecting individuals with opportunities to land their dream jobs in top companies.

Discover more client success stories here: CASE STUDIES

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