Account Executive (Data Science Staffing)
Recruiterboom- Location
- Location not stated
- Workplace
- —
- Employment
- —
- Salary
- —
Account Executive (Data Science Staffing) - recruiterboom | Career Page
Account Executive (Data Science Staffing)
Waltham, MA, United States
Apply for Position Or refer someone
Job Openings Account Executive (Data Science Staffing)
About the job Account Executive (Data Science Staffing)
Job Title
Account Executive
Company Overview
Join our clients dynamic team, a leading staffing firm specializing in Data Science. Our client is dedicated to connecting talented data scientists with innovative companies across various industries. The company's mission is to facilitate mutually beneficial partnerships that drive success for both clients and candidates.
Position Overview
As an Account Executive, you will play a pivotal role in driving business growth by forging strong relationships with clients and matching their needs with our pool of top-tier data science professionals. You will be responsible for cultivating and expanding our client base, ensuring exceptional service delivery, and contributing to the overall success of the company.
Key Responsibilities
Client Acquisition
Identify and pursue new business opportunities through prospecting, networking, and phone outreach to expand the client portfolio.
Client Relationship Management
Build and maintain strong relationships with existing clients, understanding their hiring needs, and providing tailored staffing solutions.
Consultative Selling
Act as a trusted advisor to clients, offering insights on market trends, talent availability, and best practices in data science staffing.
Candidate Sourcing and Screening
Collaborate with our recruiting team to identify, attract, and assess qualified data science candidates through various channels, including job boards, social media, and referrals.
Candidate Placement
Facilitate the placement process by coordinating interviews, negotiating offers, and ensuring a seamless onboarding experience for both clients and candidates.
Sales Pipeline Management
Manage the sales pipeline effectively by tracking leads, opportunities, and client interactions using CRM/ATS software.
Performance Metrics
Meet or exceed sales targets, revenue goals, and other key performance indicators (KPIs) set by the company.
Market Research
Stay informed about industry trends, competitive landscape, and emerging technologies in data science to remain competitive in the market.
Collaboration
Work closely with internal teams, including recruiters, account managers, and leadership, to align strategies and deliver exceptional service to clients and candidates.
Continuous Learning
Continuously enhance your knowledge of data science concepts, tools, and methodologies to better understand client requirements and effectively communicate with candidates.
Qualifications
Bachelors degree in business, marketing, or a related field (preferred).
3-5 years of experience in sales or account management, preferably in staffing or recruitment.
Demonstrated success in meeting or exceeding sales targets and KPIs.
Strong understanding of data science concepts and technologies (e.g., machine learning, AI, big data).
Excellent communication, negotiation, and interpersonal skills.
Ability to build rapport with clients and candidates and maintain long-term relationships.
Proven ability to work independently and collaboratively in a fast-paced, team-oriented environment.
Proficiency in CRM/ATS software (e.g., Salesforce) and Microsoft Office Suite.
Benefits
Competitive salary and commission structure.
Comprehensive benefits package, including health insurance, retirement plans, and paid time off.
Opportunities for professional development and advancement within the company.
Collaborative and supportive work environment with a focus on teamwork and innovation.
Join our client and be part of a dynamic team that is shaping the future of data science staffing. Apply now to take the next step in your career!
Apply for Position
Or refer someone
Share
- Line
- X (Formerly Twitter)
Skills
- Machine Learning
- Salesforce
- Microsoft Office