Data Scientist

December 2, 2023

🏡 Remote – New York

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Logo of PortPro

PortPro

Meet PortPro's drayOS 2. The latest and most premier operating system for drayage carriers.

drayage • container tracking • tms • transportation management system • intermodal

51 - 200

💰 $12M Series A on 2023-01

Description

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

Requirements

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

Benefits

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

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