Data Science Associate Advisor

8 - 11 years

25 - 30 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

In this role you will develop code to feed data to machine learning and statistical modeling platforms.This role will be responsible for the Extraction, Transformation, and Loading of data points from source to destination models. The data science advisor will collaborate with other data scientists and reporting teams across Evernorth to provide a streamlined way to productionize and locally test modeling. The role will also have numerous opportunities to automate and innovate the ways in which modeling is done and consult with business partners on best practices.
Responsibilities
Locate, extract, manipulate, and organize data from operational source systems in support of analytic tool development (SQL, Microsoft SSIS, Python)
Create and manage Postgres and SQL Server entities for use in Data Science modeling and reporting
Proficient usage of SQL data sources and database management like Hadoop, Oracle, and SQL servers
Partner with varying levels of operations and resource management leadership to understand challenges, goals, and pain points, designing analytic solutions to address them
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Help develop and maintain code standards and repositories
Qualifications
8 - 11 years building and optimizing \u2018big data data pipelines, architectures and data sets
Strong SQL expertise
Experience with the use of Python for deployment
Experience with Git (or equivalent)
Experience with Python, Postgres and SSIS highly desired
Solution design and troubleshooting skills
Ability to extrapolate data into information to drive process improvements
Ability to quickly learn how to use new software applications
Comfortable working in environments with varying levels of ambiguity, complexity, uncertainty, and change
Location & Hours of Work
  • Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
  • Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

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