Sr / Lead Data Scientist

Responsibilities:

• Set, define, and own the data science roadmap
• Build, maintain, and enhance core features focusing on
• - CV/Resume parsing in multiple languages
• - Candidate recommendation engine
• - Candidate for social media enrichment
• Independently manage each part of a project 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 is required or a Master's degree in a quantitative scientific discipline is strongly desired
• Advanced statistical modelling skillset
• Advanced SQL querying, data mining, and data cleaning skillset
• Excellent knowledge of Python, including common scientific computing packages and data science tools such as NumPy, Pandas, NLP libraries, Tensorflow and Scikit-learn
• Good knowledge of supervised and unsupervised machine learning algorithms (neural networks, decisions, trees, etc.)
• Advanced knowledge of experiment design
• Hands-on experience with cloud infrastructure tools (AWS, EC2, S3, Lambda, Data Engineering)
• Advanced visualization/reporting and presentation experience
• Version Control Experience (GitHub)
• Knowledge of web applications and service-oriented architecture
• Excellent strategic project planning skillset
• Experience at a B2B SaaS company is a plus