PortPro

Data Scientist

PortPro

full-time

Posted on:

Location Type: Remote

Location: New York • United States

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Tech Stack

AWSHadoopJavaScriptNode.jsNumpyPandasPythonSparkSQL

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningpredictive modelsdata miningstatistical modelingdata visualizationPythonRSQLNode.jsBig Data
Soft Skills
analytical skillscollaborationcommunicationattention to detailproblem-solving