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Salary
$89k – $170k per year (Estimated)
Location
Remote (United States)
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match

PortPro is seeking an experienced Data Scientist to join our team. The ideal candidate will have a robust analytical skill set, experience with machine learning algorithms, and the ability to derive insights from complex data sets. Additionally, you should be comfortable writing code, preferably with Node.js, and have familiarity with the Amazon AWS technology stack. This role involves working closely with our product teams, as well as offshore teams, to provide data-driven insights that will influence the direction of our SaaS products. Excellent collaboration and communication skills are required, as well as the ability to operate effectively within various time zones.

Key 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.

Qualifications

  • 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.
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