Last Updated on September 12, 2023 by GeeksGod
Data Science Job Openings
Data Science Freshers Job: 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.
|Job Title||Data Science Associate|
|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.|
|Qualifications||– Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).|
|Job Title||Data Science Freshers Job by Capillary 2023|
|Description||Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, Data Science).|
|Estimated salary||Per hour –|
|Work Location||Postal code : |
|Employment Type||FULL TIME|
Qualifications or Capillary Data Science Freshers Job
- Bachelor’s 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.
Job Requirement for Capillary Data Science Freshers Job
- 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.
- Community and Resources: Python and R have large and active communities of data scientists and developers. This means that there are abundant resources, tutorials, and community support available for data scientists who use these languages. It’s easier to find solutions to data science challenges and stay up-to-date with the latest developments in the field.
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