Jr. Data Scientist

Infraveo Technologies


Date: 4 weeks ago
City: Remote, Remote
Salary: ₹25,000 - ₹50,000 per month
Contract type: Contractor
Remote
We are seeking a talented and ambitious Junior Data Scientist to join our team. As a key member of our analytics department, you will play a crucial role in analyzing and interpreting complex data to drive business decisions. The ideal candidate will have a strong foundation in data science and be proficient in a variety of data tools and technologies.

Responsibilities

  • Conduct data mining and analysis using various tools and technologies such as SQL and Hadoop.
  • Design and implement database structures to optimize data storage and retrieval.
  • Develop and deploy predictive models using unsupervised learning techniques.
  • Work with large datasets and apply data visualization techniques to identify trends and insights.
  • Collaborate with cross-functional teams to gather requirements and develop data-driven solutions.
  • Utilize linked data to integrate data from various sources and provide a comprehensive view of our business.
  • Apply data analytics skills to drive business decisions and optimize processes.
  • Participate in the development and maintenance of data science projects.
  • Stay up-to-date with the latest trends and advancements in data science and machine learning.

Requirements

  • Proficiency in data science and analytics.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Strong understanding of SQL and database design principles.
  • Familiarity with Hadoop and its ecosystem.
  • Knowledge of machine learning libraries such as TensorFlow.
  • Experience with unsupervised learning and data mining techniques.
  • Ability to work in a fast-paced environment and meet deadlines.
  • Strong analytical and problem-solving skills.
  • Experience with AWS cloud services.
  • Experience with data science tools such as watch.
  • Bachelor's degree in Computer Science, Statistics, or a related field.

Benefits

  • Work Location: Remote
  • 5 days working

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