Rangam Infotech Hiring Drive 2024 For Jr Data Scientist | Location Vadodara

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Rangam Infotech Hiring Drive 2024: Rangam Infotech Hiring Drive 2024 for its Jr Data Scientist. Rangam Infotech Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field. if you are interested, please apply as soon as possible.

Company Name: Rangam Infotech

Role: Jr Data Scientist

Location: Vadodara

Experience: 0 to 1 yrs

Qualification: Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field.

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Rangam Infotech Hiring Drive 2024

Job Description:

  • Work closely with our data science team to analyze and interpret complex datasets, develop predictive models, and contribute to data-driven decision-making.


  • Bachelor’s or masters degree in data science, Computer Science, Statistics, or a related field.
  • Proficient in programming languages such as Python or R.
  • Strong understanding of statistical modeling and machine learning algorithms.
  • Experience with data manipulation libraries (e.g., Pandas, NumPy).
  • Knowledge of data visualization tools (e.g., Tableau).
  • Familiarity with database systems and querying languages (e.g., SQL, Postre SQL).
  • Ability to analyze and interpret complex data sets.
  • Strong problem-solving skills with attention to detail.
  • Excellent verbal and written communication skills.
  • Ability to present technical information to non-technical stakeholders.
  • Demonstrated ability to work collaboratively in a team environment.
  • Willingness to learn and adapt to new technologies and methodologies.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).


  • Ask the right questions to understand the problem.
  • Extract data from multiple data sources.
  • Clean the data and remove all the noise to ensure accuracy and reliability.
  • Integrate and Load Data to a centralized location (if needed).
  • Perform exploratory Data Analysis on the data loaded.
  • Choose the right Predictive or Machine Learning model for the problem.
  • Apply those models and extract meaningful insights.
  • Measure and improve results (if needed).
  • Present final results to a senior and make adjustments based on the feedback.
  • Create and present reports and visualizations to communicate findings to non-technical stakeholders.
  • Stay current with industry trends and advancements in data science.

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