39 Senior Data Scientist Jobs in Sunnyvale, CA
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vedainfo is Hiring a Senior Data Scientist Near Sunnyvale, CA
Job Details
Location - Sunnyvale/CA Austin/TX (Hybrid 2day onsite)
Client - Infosys/Apple
data Scientist
- 8 years of data scientist experience
- 5 years of data querying languages (e.g. SQL)
- 5 years of experience in Python, Panda,Perl, or another scripting language
- 3 years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Experience in training and leveraging LLM's like ChatGPT
-Map business problems to high-impact solutions leveraging off data and insights.
-Contribute to the development of end-to-end machine learning solutions and data processing pipelines
-Support the team in all aspects of the practical machine learning development cycle, encompassing sound use of data pre-processing techniques, analysis, modelling, and validation methods"
Best Regards,
VAMSI KRISHNA
Office : ,Ext 103,
Direct : .
Email:
Job Summary
Full Time
IT Outsourcing & Consulting
$135k-166k (estimate)
03/15/2024
05/03/2024
vedainfo.com
Torrance, CA
100 - 200
IT Outsourcing & Consulting
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Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
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Collating and cleaning data from various entities for later use by junior data scientists.
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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
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Career tips from people on Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
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Learn the required skills to become a data scientist.
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Review additional data scientist certifications and post-graduate learning.
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Ask the right questions to begin the discovery process.
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Choose one or more potential models and algorithms.
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