Data Scientist

About the job

Internset partners with enterprises to connect them with emerging talent, enabling businesses to achieve their goals effectively. The platform empowers candidates to enhance their professional credibility through blockchain certification in various domains. With expertise validated across 800 skills, including programming, 3D design, digital marketing, and more, Internset provides innovative solutions for workforce development. Role Description This is a full-time remote role for a Data Scientist. The Data Scientist will gather, analyze, and interpret complex datasets to extract meaningful insights that drive decision-making. Key responsibilities include building and optimizing machine learning models, performing data visualization, and conducting statistical analyses. Collaboration with cross-functional teams to identify business problems and develop data-driven solutions is also a vital part of the role. Qualifications • Strong proficiency in Data Science concepts and methodologies • Expertise in Statistics, Data Analysis, and hypothesis testing • Experience with Data Analytics and Data Visualization tools • Hands-on experience with programming languages commonly used in data science, such as Python, R, or SQL • Strong problem-solving and critical-thinking skills • Ability to communicate insights clearly to technical and non-technical stakeholders • Master's or Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field • Familiarity with machine learning concepts and tools is a plus

Requirements

• Data Science
• Statistics
• Data Analysis
• Data Visualization
• Machine Learning

Qualifications

• Master's or Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics or related field

Preferred Technologies

• Data Science
• Statistics
• Data Analysis
• Data Visualization
• Machine Learning

About the company

Internset partners with enterprises to connect them with emerging talent, enabling businesses to achieve their goals effectively.