Keysite Solutions
Data Scientist | SaaS
₹ Check with seller / month
✓ Actively Hiring
📍 Ahmedabad
💼 Full Time
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Job at a Glance
- Category
- BPO Jobs
- Location
- Ahmedabad, Gujarat, India
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- Keysite Solutions
- Status
- Open & Active
Job Description
We have an urgent role with a Saas Based Organization at Ahmedabad/ Gurgaon/Noida/Pune.
Role : Data Scientist
Qualification Required : M.TECH/MSC/MCA ETC.
Only Graduate or B.E/B.TECH will not work.
Profile
• Analytical skills and Ability to independently consume AI Research material and implement in working Python code.
• Demonstrated experience in the same.
Work Experience In
• ML: Random Forests Regression
• DL: Neural Embeddings Attention networks and Transformers, Reinforcement Learning with Q tables etc
• Develop both analytics framework and ML algorithms for the condition based monitoring system.
• Automate code for various statistical Hypothesis tests
• Automate code for Association analysis
• Refactor/Optimize the code for many Machine Learning algorithms such as Linear regression, ridge and lasso regression, Regression/Classification Trees, Random
• Forest, Naive Bayes and K Nearest Neighbours etc
• Worked on improving the performance of various clustering techniques such as k-means and k-modes etc
,
This job is provided by Shine.com
Role : Data Scientist
Qualification Required : M.TECH/MSC/MCA ETC.
Only Graduate or B.E/B.TECH will not work.
Profile
• Analytical skills and Ability to independently consume AI Research material and implement in working Python code.
• Demonstrated experience in the same.
Work Experience In
• ML: Random Forests Regression
• DL: Neural Embeddings Attention networks and Transformers, Reinforcement Learning with Q tables etc
• Develop both analytics framework and ML algorithms for the condition based monitoring system.
• Automate code for various statistical Hypothesis tests
• Automate code for Association analysis
• Refactor/Optimize the code for many Machine Learning algorithms such as Linear regression, ridge and lasso regression, Regression/Classification Trees, Random
• Forest, Naive Bayes and K Nearest Neighbours etc
• Worked on improving the performance of various clustering techniques such as k-means and k-modes etc
,
This job is provided by Shine.com
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