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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.
Requirements:
- 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
Responsibility:
- 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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