Data Scientist

PortPro

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years as a Data Scientist or similar role
  • Strong grasp of machine learning techniques like k-NN, Naive Bayes, SVM
  • Experience in data mining, statistical modeling, and data visualization
  • Proficient in Python, R, SQL, and Node.js
  • Familiar with Amazon AWS technology stack
  • Experience with data science tools like NumPy, Pandas, Matplotlib
  • Knowledge of Big Data platforms such as Hadoop, Spark
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field

Responsibilities

  • Leverage complex datasets to identify patterns and trends for strategic decisions
  • Develop and deploy predictive models and machine learning algorithms
  • Write code to automate data processing and aggregation
  • Collaborate with cross-functional teams for data-driven solutions
  • Present findings clearly to non-technical stakeholders
  • Work with onshore and offshore teams to deliver projects on time
  • Continuously learn new technologies and stay updated on industry trends

Benefits

  • Collaborative, no-drama, and no-ego work environment
  • Opportunity to be part of a family-like team
  • Exposure to inspiring colleagues
  • Focus on personal and professional growth
  • Strong support for teamwork and shared goals
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.


Our team is like family. Working at PortPro, we want you to feel like you are part of the bigger picture, not just working for yourself. We work in a no-drama, no-ego environment We work together and collaboratively to achieve the same goal. We are a team of smart, kind, hard working people. You'll be surrounded by those that inspire you to bring your best self to work each day.

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