Capillary Technologies Hiring Drive 2024 For Data Science Associate | Location Bengaluru

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Capillary Technologies Hiring Drive 2024: Capillary Technologies Hiring Drive 2024 for its Data Science Associate. Capillary Technologies Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science). if you are interested, please apply as soon as possible.

Company Name: Capillary Technologies

Role: Data Science Associate

Location: Bengaluru

Experience: 1 – 3 years

Qualification: Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).

Batch: Any

Job Type: Full Time

Salary:7.2 LPA (Expected)

Capillary Technologies Hiring Drive 2024

Job Description:

  • The associate will support the data science team in extracting insights, building predictive models, and generating
  • actionable recommendations from complex datasets.
  • They will work closely with senior data scientists,
  • data engineers, and other stakeholders to contribute to data-driven decision-making processes.


  • Bachelors degree in a relevant field (e.g., Computer Science, Statistics, Data Science).
  • Proficiency in programming languages such as Python or R.
  • Basic understanding of machine learning algorithms and statistics.
  • Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  • Strong problem-solving skills and attention to detail.
  • Effective communication and teamwork abilities.
  • Programming Languages (Python/R): Proficiency in programming languages like Python or R is essential for data manipulation, analysis, and model development.
  • These languages provide the tools and libraries needed for various data science tasks.
  • Data Manipulation and Analysis: The ability to clean, preprocess, and analyze data is at the core of data science.
  • EDA skills help uncover insights and patterns that drive decision-making.
  • Machine Learning: Understanding machine learning concepts, algorithms, and techniques is fundamental for developing predictive models and making data-driven decisions.
  • Data Visualization: Effective data visualization skills enable you to communicate complex findings in a clear and understandable manner, facilitating better insights and decision-making.
  • Problem-Solving and Analytical Thinking: Strong problem-solving skills allow you to approach challenges systematically, formulate hypotheses, design experiments, and derive meaningful insights from data.

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