i-Qode Digital Solutions Hiring Drive 2024 For Data Scientist – Junior | Work From Home

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i-Qode Digital Solutions Hiring Drive 2024: i-Qode Digital Solutions Hiring Drive 2024 for its Data Scientist – Junior. i-Qode Digital Solutions Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. if you are interested, please apply as soon as possible.

Company Name: i-Qode Digital Solutions

Role: Data Scientist – Junior

Location: Remote

Experience: 1+ years

Qualification: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field

Batch: Any

Job Type: Full Time

Salary: Best in Industry

i-Qode Digital Solutions Hiring Drive 2024

Job Description:

  • The Data Scientist plays a crucial role in analyzing large datasets to extract actionable insights and drive informed decision-making.
  • This position is pivotal in leveraging statistical, mathematical, and programming expertise to build and implement machine learning models, enabling the organization to make data-driven decisions.


  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field
  • 1+ years of experience in a data science or analytics role
  • Proficiency in Python, R, or similar programming languages
  • Strong understanding of machine learning algorithms and statistical modeling techniques
  • Experience with data visualization tools such as Tableau or Power BI
  • Ability to write complex SQL queries for data extraction and manipulation
  • Solid understanding of data warehousing concepts and ETL processes
  • Knowledge of big data technologies such as Hadoop, Spark, or Hive
  • Excellent problem-solving and critical-thinking abilities
  • Strong communication and presentation skills
  • Capability to work independently and within a team environment
  • Experience working with cloud platforms and services, such as AWS or Azure, is a plus
  • Certifications in data science or machine learning are advantageous
  • Demonstrated ability to handle multiple projects simultaneously and meet deadlines
  • Adherence to ethical and professional standards in data handling and analysis


  • Utilize data mining, statistics, and advanced analytics to generate actionable business insights
  • Develop and implement machine learning models for predictive and prescriptive analysis
  • Create and maintain databases and data systems
  • Perform ad-hoc analysis and present findings to stakeholders
  • Collaborate with cross-functional teams to identify opportunities for leveraging company data
  • Construct and deploy data-driven solutions to optimize business processes
  • Communicate complex data insights effectively to non-technical stakeholders
  • Keep abreast of industry trends and best practices in data science and machine learning
  • Work with large datasets and manage data integrity and accuracy
  • Identify patterns and trends in data sets
  • Conduct A/B testing, confirm results, and advise on next steps
  • Contribute to the development and improvement of data-driven products and services
  • Follow data privacy and security standards
  • Collaborate on the design and implementation of data collection tools and techniques

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