Atmecs Technologies Hiring Drive 2024 For Data Scientist | Location Hyderabad

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Atmecs Technologies Hiring Drive 2024: Atmecs Technologies Hiring Drive 2024 for its Data Scientist. Atmecs Technologies 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. if you are interested, please apply as soon as possible.

Company Name: Atmecs Technologies

Role: Data Scientist

Location: Hyderabad

Experience: 0 to 1 year

Qualification: Bachelor’s or Master’s degree in Data Science

Batch: Any

Job Type: Full Time

Salary: 23.5 LPA (Expected)

Atmecs Technologies Hiring Drive 2024

Job Description:

  • We are seeking a talented and motivated Data Scientist to join our team.
  • The ideal candidate will have a passion for leveraging data to drive insights and decision-making, strong analytical skills, and the ability to communicate complex findings to both technical and non-technical stakeholders.


  • Bachelor’s or Master’s degree in Data Science (Hiring for B.Tech /M.Tech Grads ( Preferred Specialization in Datascience Background )
  • Understanding of experience in data analysis, machine learning, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning libraries and frameworks such as TensorFlow, scikit-learn, or PyTorch.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively.
  • Excellent communication skills, with the ability to convey complex findings to both technical and non-technical audiences.
  • [Optional] Experience with big data technologies such as Hadoop, Spark, or Kafka


  • Analyze large datasets to uncover trends, patterns, and insights that drive business decisions.
  • Develop and implement machine learning models and algorithms for predictive analytics and optimization.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems.
  • Design and execute experiments to test hypotheses and evaluate model performance.
  • Present findings and recommendations to stakeholders in a clear and compelling manner.
  • Stay current with developments in the field of data science and recommend new tools and techniques to improve our analytical capabilities.

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