Senior Lead Data Scientist

January 16

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Logo of Knowledge Anywhere

Knowledge Anywhere

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.

Corporate eLearning Solutions • Learning & Development • Online Training • Virtual Classrooms • Learning Management Systems

11 - 50 employees

Founded 1998

☁️ SaaS

📚 Education

🏢 Enterprise

📋 Description

• As a Sr. Manager of Data Science, solve complex problems using data-driven approaches. • Lead data collection, analysis, and model deployment to enhance business decision-making. • Support career development of associates and maintain collaborative relationships with partners. • Strive to create an inclusive and collaborative environment valuing diverse perspectives. • Leverage advanced analytics to drive business success and deliver exceptional value.

🎯 Requirements

• Master’s degree or higher in Statistics, Data Science, Mathematics, Economics, or a related analytical discipline. • At least 6 years of experience in building end-to-end models in Python (or a similar language) and deploying them in production. • At least 2 years of experience leading and managing a team of data scientists. • Proficiency in SQL and Python programming languages. • Strong understanding of statistical methods and machine learning algorithms, with exposure to large language models being a plus. • Expertise in techniques such as Linear Regression, GLM, Random Forest, GBM, XGBoost, and various segmentation methods.

🏖️ Benefits

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

Apply Now

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