Data Scientist

Job not on LinkedIn

🕒 April 1

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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PortPro

WebsiteLinkedInAll Job Openings

51 - 200 employees

🚗 Transport

☁️ SaaS

💰 $12M Series A on 2023-01

Transport • SaaS

PortPro is a privately-owned technology company that specializes in providing advanced operational software solutions tailored for drayage carriers and freight brokerages. Their platform is designed to enhance drayage operations by improving communication, operational efficiency, and customer satisfaction. Utilizing a modern Transportation Management System (TMS), PortPro focuses on helping companies streamline their processes, improve cash flow, boost operational performance, and grow their business. The company's award-winning software supports both asset-based and non-asset based divisions, enabling seamless integration and comprehensive management of drayage trucking and brokerage operations. PortPro is recognized for their customer support and innovative technology offerings that empower clients to achieve greater transparency and efficiency in their operations.

📋 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

• Equal opportunity employer • No-drama, no-ego environment • Collaborative work culture • Opportunity for professional growth within a fast-growing company