Client Background
Our client is a fast-growing software company based in Hyderabad, specializing in AI-driven solutions and data analytics platforms. With several large-scale projects running simultaneously, they aimed to enhance their data science capabilities to extract actionable insights and maintain a competitive edge.
Challenge
While expanding their analytics team, the client faced several real-world hiring challenges:
- Severe Talent Shortage: The market had very few candidates with hands-on experience in advanced machine learning, deep learning, and cloud-based data pipelines.
- Highly Specialized Skills: The role required a candidate proficient in Python, R, SQL, TensorFlow/PyTorch, and AWS/Azure, along with the ability to work on end-to-end data workflows.
- Urgent Project Timelines: They needed a qualified hire within 2 weeks to meet project delivery deadlines, making standard recruitment timelines impractical.
- Competition & Attrition Risk: Multiple tech giants were competing for the same talent pool, and high turnover risk meant the company needed someone aligned with its culture and long-term vision.
- Quality vs. Speed Dilemma: Screening dozens of resumes manually was time-consuming, and the company wanted to avoid compromising on candidate quality while filling the role quickly.
Solution by Hiringlabs
Hiringlabs partnered with the client to design a highly targeted recruitment strategy:
- Industry-Specific Talent Mapping: Leveraged our extensive network of data scientists in Hyderabad and pan-India, focusing on candidates with proven experience in AI/ML projects.
- Technical & Practical Screening: Conducted multi-level assessments, including coding challenges, project evaluations, and problem-solving exercises to ensure candidates met technical requirements.
- Agile Hiring Process: Implemented a streamlined process involving pre-screened candidates, structured interviews with the client’s technical leads, and timely feedback loops to reduce time-to-hire.
- Cultural Fit Assessment: Evaluated candidates for collaboration, adaptability, and long-term commitment, ensuring alignment with the company’s values and work environment.
- Consultative Approach: Guided the client on compensation benchmarking and market trends, helping attract top-tier talent despite competitive pressures.
Impact
- Established a long-term hiring partnership, providing the client with access to a ready pool of pre-vetted data science talent for future roles.
- Successfully placed a highly skilled Data Scientist within the required timeframe, who immediately contributed to ongoing AI and analytics projects.
- Reduced time-to-hire by 40% compared to traditional hiring methods.
- Strengthened the company’s data-driven capabilities, enabling faster decision-making and improving product development insights.
