Senior Associate - Talent Acquisition

MathCo; Bengaluru; On-site; INR 800,000 - 1,100,000; Full time

Job summary

MathCo is seeking a dedicated Talent Acquisition professional to lead technical hiring across Gen AI, Data Science, Data Engineering, and Analytics from sourcing to offers.

You will partner with hiring managers, build robust pipelines, and own the candidate experience. The role requires hands-on sourcing, strong market awareness, and a data-driven approach to recruitment at MathCo.

Qualifications

• Experience in end-to-end technical recruitment for AI/Analytics roles.
• Strong ability to build pipelines and manage multiple requisitions.

Responsibilities

• Manage full recruitment lifecycle for Gen AI, Data Science, Data Engineering, and Analytics roles.
• Partner with hiring managers to define role requirements and hiring strategies.
• Ensure a smooth, timely hiring process from sourcing to offer.
• Source candidates via LinkedIn Recruiter, job portals, referrals and communities.
• Build and maintain a strong pipeline of technical talent for current and future needs.
• Negotiate offers and manage offer-to-join process; track TAT and offer-to-join ratios.
• Maintain accurate candidate data in the ATS; provide timely updates to candidates and stakeholders.
• Stay current with hiring trends and compensation benchmarks in Gen AI, Data Science, and Analytics.
• Represent MathCo as a strong employer brand ambassador in the technical market.

Skills

Technical recruitment

Stakeholder mgmt

Gen AI knowledge

ATS usage

Hiring strategy

Education

Bachelor’s or Master’s degree

Tools

LinkedIn Recruiter

Naukri

ATS

Job description

We are looking for a dedicated Talent Acquisition professional to drive technical hiring across Gen AI, Data Science, Data Engineering, and Analytics. This role requires someone who understands the technical hiring landscape, builds strong pipelines, and partners closely with stakeholders to bring in top-tier talent. Someone who can take ownership and get things done.

End-to-End Technical Recruitment:

• Manage the full recruitment lifecycle for Gen AI, Data Science, Data Engineering, and Analytics roles.
• Partner with hiring managers to define role requirements and build effective hiring strategies.
• Ensure a smooth, timely hiring process from sourcing through to offer.
• Source candidates through LinkedIn Recruiter, job portals, referrals, and professional communities.
• Build and maintain a strong pipeline of active and passive technical talent for current and future needs.

Stakeholder Collaboration:

• Work closely with business leaders and hiring managers to align on hiring needs, priorities, and timelines.

Candidate Experience & Evaluation:

• Screen and evaluate candidates for technical fit and cultural alignment across:
• Analytics

Offer Management & Reporting:

• Negotiate offers and manage the offer-to-joining process end-to-end. Track recruitment metrics such as TAT and offer-to-join ratio.
• Maintain accurate and up-to-date candidate data in the ATS.
• Provide timely feedback and updates to candidates and stakeholders.
• Stay current with hiring trends and compensation benchmarks in the Gen AI, Data Science, and Analytics talent market.
• Represent MathCo as a strong employer brand ambassador in the technical talent market.

Skill Requirements

• Strong understanding of technical skill sets, tools, and terminology across Gen AI, Data Science, Data Engineering, and Analytics.
• Hands-on experience with sourcing tools such as LinkedIn Recruiter, Naukri, and other job boards; ATS experience preferred.
• Strong stakeholder management skills, with the ability to influence and advise hiring managers on hiring strategy.
• Prior experience recruiting for an analytics, AI, IT services, or product/consulting organization is highly preferred.
• Awareness of emerging hiring trends, compensation benchmarks, and talent availability in the AI/Data space.
• Demonstrated ability to manage multiple requisitions simultaneously in a fast-paced, deadline-driven environment.
• A consultative, data-driven approach to recruitment with strong ownership and accountability.

Experience:

• 3–6 years of experience in technical recruitment, with proven expertise in hiring for Gen AI, Data Science, Data Engineering, and/or Analytics roles.
• Experience managing multiple technical requisitions simultaneously across niche and high-demand skill sets.
• Bachelor’s or Master’s degree in any discipline; HR specialization is a plus.