Lead Engineer, Data Science

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November 8

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Knowledge Anywhere

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SaaS • Education • Enterprise

Knowledge Anywhere is a provider of a feature-rich Learning Management System (LMS) designed to streamline and enhance corporate training programs. The company offers a centralized platform that allows businesses to create, manage, and track training courses for employees, customers, or partners. The LMS includes advanced features such as assessments with AI, badges & leaderboards, course conversion tools, and reporting & analytics, among others. Knowledge Anywhere caters to various industries such as financial services, healthcare, manufacturing, and more. They also provide custom course development, a large course library, and virtual reality training solutions to meet diverse training needs. With a focus on compliance, employee onboarding, and talent development, Knowledge Anywhere aims to improve training efficiency and drive organizational growth.

11 - 50 employees

Founded 1998

☁️ SaaS

📚 Education

🏢 Enterprise

📋 Description

• Deeply understand business needs and translate business needs to a technical project. • Identify appropriate data sources to use. Perform data aggregations and feature engineering as needed. • Write Python programming code to make visualizations, build and implement models. • Be flexible and open to innovative ideas and alternative ways of solving problems. • Present the results to non-tech partners and influence them to use predictive models. • Coach junior associates during the projects

🎯 Requirements

• Master's degree (or higher) in Statistics, Data Science, Mathematics, Economics or related analytical discipline. • At least 5 years’ experience in building end-to-end models in python through production. • At least 2 years’ experience in leading projects and coaching junior associates. • Proficiency in SQL and Python programming languages • In-depth understanding of statistical knowledge and machine learning algorithms. Exposure to some Large Language Models is nice to have. • Specifically, expertise with the following techniques is a must-have to perform daily work: Linear Regression and GLM, Random Forest, GBM, XGboost, various segmentation techniques etc. • Excellent communication skills • Ability to work on large-scale cross functional projects. • Ability to lead mid-scale projects and coach junior associates.

🏖️ Benefits

• EOE including disability/veteran • At Anywhere, compensation varies by knowledge, skills, and experience. Bonuses, incentives and benefits, depend on the position