Data Scientist

December 2, 2023

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PortPro

drayage β€’ container tracking β€’ tms β€’ transportation management system β€’ intermodal

51 - 200

πŸ’° $12M Series A on 2023-01

Description

β€’ Leverage large and complex datasets to explore, discover, and identify patterns, trends, and insights that can influence strategic business decisions. β€’ Develop, validate, and deploy predictive models and machine learning algorithms to solve business problems. β€’ Write code to automate data processing and aggregation tasks. β€’ Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. β€’ Present findings in a clear and easily understandable way to non-technical stakeholders. β€’ Work closely with both onshore and offshore teams to deliver data-driven projects on time and to specification. β€’ Continuously learn new technologies and stay up-to-date with the latest industry trends in data science.

Requirements

β€’ 4+ years of experience as a Data Scientist or in a related role. β€’ Strong knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. β€’ Experience in data mining, statistical modeling, and data visualization tools. β€’ Proficiency in programming languages such as Python, R, SQL, and Node.js. β€’ Experience working with Amazon AWS technology stack. β€’ Experience with data science toolkits, such as NumPy, Pandas, Matplotlib. β€’ Familiarity with Big Data tools and platforms, such as Hadoop, Spark, or similar. β€’ Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. β€’ Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.

Benefits

β€’ Opportunity to be a part of company's growth and expansion as a global organization β€’ Make a significant impact on the world by improving global supply chains β€’ Collaborative work environment with smart, kind, hardworking people β€’ Equal opportunity employer

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