Data Scientist

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December 8, 2024

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Peoplevisor

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HR Tech • Recruitment • SaaS

Peoplevisor is a comprehensive HR solutions provider that focuses on transforming organizational practices and optimizing human capital. They offer a wide range of services, including HR strategy, HR operations, HR technology, and people analytics to help businesses align their talent strategy with their goals. Peoplevisor caters to various industries such as financial services, healthcare, technology, and public sector, providing on-demand talent, recruitment process outsourcing, and full-service HR solutions. They are committed to enhancing employee engagement and satisfaction while driving business transformation through people-focused strategies and analytics.

11 - 50 employees

👥 HR Tech

🎯 Recruiter

☁️ SaaS

📋 Description

• Peoplevisor is seeking an experienced Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. • The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. • They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. • They must have a proven ability to drive business results with their data-based insights.

🎯 Requirements

• Strong problem-solving skills with an emphasis on product development. • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. • Experience working with and creating data architectures. • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. • Excellent written and verbal communication skills for coordinating across teams. • A drive to learn and master new technologies and techniques. • 5-7 years of experience manipulating data sets and building statistical models.