Company Name:-
Oracle

Job Location:-
Hyderabad, Telangana

Job Summary:-
Oracle Utilities Analytics Insights (OUAI) Data Science & Analytics | Data Analyst

At Oracle Utilities, we’re applying cutting-edge computer science to one of humanity’s greatest challenges: Energy.

We are looking to hire a Data Analyst to take OUAI clients and R&D to new heights.

In this role you will work with our talented and growing team of Data Scientists and Data Analysts to plan, execute, and deliver actionable analytic insights to electric, water, and gas utilities through the OUAI (Oracle Utilities Analytics Insights) product and its 100TB+ of cloud-hosted data.

Our analytics team works actively across the product/R&D and client management teams to define analyses based on customer needs, build quick solutions and then works on productizing those solutions in a repeatable and generalizable way as part of product.

We use a combination of technology and platforms such as MySQL, R, Python, and our proprietary tools, to execute these analyses and drive value.

We use smart meter data and cutting-edge cloud platforms to learn how a number of devices deployed by utilities across the grid operate, with more projects like this on our roadmap.

We are looking for someone passionate about the energy/water space who wants to use data science to drive meaningful societal impact.

This function cuts across data science and model implementation in production systems.

Position reports to Lead Data Scientist – OUAI.

Responsibilities:Efficiently execute well-defined, discrete analytic tasks based on the needs of client, as communicated by the client management team;
Work with client management team and our customers to define and take ownership of scope, intermediate deliverables, and timelines around larger-scale analytic deliverables;
Work with application management team, and where necessary, other members of the analytics team to efficiently execute larger-scale analytic deliverables and operationalize the results;
Identify recurring problems and bottlenecks that might be improved through upgrades to our software product, new technologies in the analytics team infrastructure, or further research into statistical methodology.

Preferred Qualifications:MS in Computer Science, Mathematics, Statistics, Physics, Economic

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details