Data Scientist

PortPro

$90K — $130K *
US-AnywhereRemote in New York, NY
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience as a Data Scientist or similar role.
  • Strong knowledge of machine learning techniques and algorithms.
  • Experience in data mining, statistical modeling, and visualization tools.
  • Proficiency in programming languages including Python, R, SQL, and Node.js.
  • Familiarity with Amazon AWS technology stack.
  • Experience with data science toolkits like NumPy and Pandas.
  • Understanding of Big Data tools such as Hadoop or Spark.

Responsibilities

  • Leverage large datasets to identify patterns and insights for business strategy.
  • Develop and deploy predictive models and machine learning algorithms.
  • Automate data processing and aggregation through coding.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
  • Present findings to non-technical stakeholders in an understandable manner.
  • Work with onshore and offshore teams to ensure project delivery on time.
  • Stay updated with the latest data science technologies and trends.

Benefits

  • Flexible working hours to accommodate various time zones.
  • Opportunities for continuous learning and professional development.
  • Collaborative work environment with cross-functional teams.
  • Involvement in impactful projects that influence product direction.
  • Remote work opportunities, fostering a diverse global team.
Full Job Description
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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