Data Scientist II
Company Name:-
ADCI – Karnataka
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Bachelor’s degree in any quantitative discipline such as Statistics, Mathematics, Quantitative Finance or Operational Research
3+ years of experience with data scripting languages (e.
g SQL, Python, R etc.
) or statistical/mathematical software (e.
g.
R, SAS, or Matlab)
3+ years of experience working in Analytics / Business Intelligence environment
3+ years of writing SQL queries in a high volume database environment
Demonstrated use of analytical packages and query languages in Python
Demonstrate understanding and experience with relational data sets, data warehouses, data mining and data analysis techniques
Amazon Science gives you insight into the companys approach to customer-obsessed scientific innovation.
Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world.
Its the companys ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields.
Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit https://www.
amazon.
science for more information.
As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques.
You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.
You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner.
Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences.
This is a high impact role with goals that directly impacts the bottom line of the business.
Responsibilities:Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock in
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