Benda Infotech is seeking a passionate Data Scientist to join our team in Chicago, Illinois. This full-time, on-site role offers an excellent opportunity for entry-level candidates to dive into data science and contribute to innovative projects within the computer software and engineering industry. As a Data Scientist, you will analyze large datasets and deliver actionable insights to support data-driven decision-making. You will collaborate with cross-functional teams to develop and implement algorithms and models that enhance our services and products. Responsibilities: Analyze large datasets to extract meaningful insights; Develop and implement machine learning models; Collaborate with stakeholders to understand business needs; Visualize data to communicate findings effectively; Perform data cleaning and preprocessing; Stay updated on industry trends and best practices; Create reports and presentations for diverse audiences; Participate in team meetings and brainstorming sessions. Requirements: Bachelor's degree in Data Science, Computer Science, Statistics, or related field; Proficiency in Python or R; Basic understanding of machine learning algorithms and statistics; Experience with data visualization tools (e.g., Tableau, Matplotlib); Strong analytical and problem-solving skills; Excellent communication and teamwork abilities; Ability to learn quickly and adapt to new technologies; Passion for data and a desire to grow in the field.

Benda Infotech is seeking a passionate Data Scientist to join our team in Chicago, Illinois. This full-time, on-site role offers an excellent opportunity for entry-level candidates to dive into data science and contribute to innovative projects within the computer software and engineering industry. As a Data Scientist, you will analyze large datasets and deliver actionable insights to support data-driven decision-making. You will collaborate with cross-functional teams to develop and implement algorithms and models that enhance our services and products. Responsibilities: Analyze large datasets to extract meaningful insights; Develop and implement machine learning models; Collaborate with stakeholders to understand business needs; Visualize data to communicate findings effectively; Perform data cleaning and preprocessing; Stay updated on industry trends and best practices; Create reports and presentations for diverse audiences; Participate in team meetings and brainstorming sessions. Requirements: Bachelor's degree in Data Science, Computer Science, Statistics, or related field; Proficiency in Python or R; Basic understanding of machine learning algorithms and statistics; Experience with data visualization tools (e.g., Tableau, Matplotlib); Strong analytical and problem-solving skills; Excellent communication and teamwork abilities; Ability to learn quickly and adapt to new technologies; Passion for data and a desire to grow in the field.