Recruiting Associate

About the role

The professional in this position serves as a critical link between the organization's talent objectives and the execution of high-volume hiring activities. You will own the end-to-end coordination of the candidate experience, ensuring that every interaction reflects the consistent, professional standard expected by both the business and the brand. Your daily work will involve managing the flow of information across operations and product teams to support a seamless hiring journey from initial contact to final decision. You will be responsible for verifying regulatory compliance, specifically regarding employment eligibility, and ensuring that all New York Office requirements are met before onboarding begins. This role demands a high level of enthusiasm for engaging with diverse stakeholders in a fast-paced, collaborative environment centered on people and artificial intelligence. You will build and maintain strong relationships with internal partners, acting as a proactive and reliable resource for the Talent team. Success in this position will depend on your ability to communicate clearly, manage multiple priorities, and support the data-driven decision-making that defines modern hiring.

Key facts

What you'll do

Every candidate interaction is organized to provide a uniform experience from first contact through subsequent hiring steps.

You will verify US work authorization and ensure regulatory compliance for the New York Office is satisfied before onboarding starts.

Eligibility for employment in the United States is confirmed at the earliest stage to meet legal and policy requirements.

You will facilitate transparent movement of information to candidates and internal partners so that expectations and updates remain clear at every hiring touchpoint.

Stakeholders and partners will receive consistent updates from you that maintain clarity and alignment across the entire recruitment process.

Your enthusiasm for people and AI will drive effective engagement with stakeholders inside fast-paced collaborative hiring environments.

You will support the development of strong relationships with internal partners and business teams through proactive communication and follow-through.

This role requires you to manage scheduling, communications, and documentation with attention to detail and adherence to company standards.

You will assist in maintaining an organized pipeline of candidates, ensuring that all interactions are documented and accessible to relevant teams.

You will contribute to the continuous improvement of the hiring process by identifying bottlenecks and supporting data-informed adjustments.

Your responsibilities will include coordinating with recruiters, hiring managers, and candidates to ensure a smooth and efficient experience.

You will help uphold the integrity of the hiring workflow by ensuring that all procedural requirements are met in a timely manner.

Requirements

A bachelor's degree is required for this role, and candidates must possess US work authorization to meet regulatory compliance for this position in the New York Office.

Practical notes

The role is based in the New York Office with full-time commitment. US work authorization is mandatory, and a degree is stated as a requirement.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Data roles often involve transforming raw information into decisions. Analysts, data scientists, and data engineers work closely with business teams. Success in data careers depends on statistics, coding, communication, and continuous learning.

Questions to ask

Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.

About the company

Company Basis pursues understanding of intelligence. Building intelligence forms a core focus. Goals center on advancing problem solving capacity. Intractable scientific and societal problems represent the target domain. Progress in these areas remains the central mission. Teams engage with complex challenges where current methods reach limits. Direction aims to expand what can be solved. Steady advancement guides project choices. Commitment stays with research that tackles difficult questions over time through structured effort.