Junior Data Scientist in Columbus

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or another quantitative field. \n

• Recent graduate or 0-3 years of Data Science experience (internships, co-ops, research, or professional experience). \n

• Strong programming skills in Python. \n

• Experience writing SQL queries. \n

• Understanding of machine learning concepts such as regression, classification, and time series forecasting. \n

• Experience with common Python libraries such as Pandas, NumPy, and Scikit-learn. \n

• Strong analytical and problem-solving abilities. \n

• Excellent communication and collaboration skills. \n

• Eagerness to learn and grow in a team environment. \n

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• Build, test, and improve predictive machine learning models. \n

• Analyze large datasets to uncover trends and actionable insights. \n

• Support forecasting initiatives, including demand planning, cash flow, and treasury forecasting. \n

• Perform data preparation, feature engineering, and model optimization. \n

• Assist with deploying and monitoring machine learning models in production. \n

• Collaborate with Data Engineers and cross-functional teams to build scalable analytics solutions. \n

• Translate business challenges into data-driven recommendations. \n

• Stay current on emerging AI, machine learning, and analytics technologies. \n

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