Our goal is to transform the entire hiring process by making it simple, efficient, and enjoyable for recruiters, hiring managers, and candidates alike
Our mission is to offer the best-in-class AI-powered technologies to empower small, medium, and large businesses in their staffing & recruitment transformation.
Responsibilities
- Set, define, and own the data science roadmap
- Build, maintain, and enhance Manatal core features focusing on : CV / Resume parsing in multiple languages Candidate recommendation engine Candidate for social media enrichment
- Manage independently each part of a projects life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment
- Design, prototype, and implement solutions across several domains.
- Help define and implement a framework of continual innovation
- Partner with engineers to develop ML projects, and maintain high system availability and reliability
Requirements
BA / BS in Mathematics, Statistics, or Computer Science required. A Masters Degree in a quantitative or scientific discipline is strongly desiredAdvanced statistical modeling skillsetAdvanced SQL querying, data mining, and data cleansing skillsetExcellent knowledge of Python, including common scientific computing packages and data science tools such as NumPy, Pandas, NLP libraries, Tensorflow and Scikit-learnGood knowledge of supervised and unsupervised machine learning algorithms (neural networks, decision trees, etc.)Advanced knowledge of experiment designHands-on experience with cloud infrastructure tools (AWS : EC2, S3, Lambda, Data Engineering)Advanced visualization / reporting and presentation experienceVersion Control Experience (GitHub)Basic knowledge of web applications and service-oriented architectureExcellent strategic project planning skillsetExcellent communication skills (written and verbal)Experience at a B2B SaaS company is a plus