Data Scientist

Summary

PortPro is revolutionizing the drayage industry with their premier web-based operating system. They are seeking an experienced Data Scientist to leverage large datasets, develop predictive models, and collaborate with teams to provide data-driven insights for their SaaS products.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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