• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 23rd Sep 2022

Responsibilities

Understand and translate business needs into datamodels supporting long-term ODGA solutions.
Develop and maintain conceptual, logical and physical data models along withcorresponding metadata.
Develop best practices for data standards and coding practices to ensureconsistency in data models.
Perform reverse engineering of physical data models from databases and SQLscripts.
Examine new application design and recommend corrections if required.
Develop tools for data science staff that enable them to derive actionableinsights into business operations and performance measures from data sets.
Develop successful prototypes and proofs of concept to improve systemcomponents and tools and to demonstrate new functions.
Advise technical staff on data flow, processing issues, and other topicspertinent to the generation of data that meets business requirements.
Collaborate effectively with partner agencies and business stakeholders inorder to address data-related technical issues, clarify business requirements,and resolve conflicts and ambiguities.
Serve as a data scientist resource to data trust member agencies andCommonwealth organizations regarding machine learning issues.
Support data quality, integrity, security services in partner agencies as acore value.

Considerable experience using statistical computer languages (R, Python, etc.)
Considerable experience working with and creating data architectures.
Considerable knowledge of a variety of machine learning techniques (clustering,decision tree learning, artificial neural networks, etc.) and their real-worldadvantages/drawbacks.
Considerable knowledge of advanced statistical techniques and concepts(regression, properties of distributions, statistical tests and proper usage,etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating acrossteams.
A drive to learn and master new technologies and techniques.

Qualifications:

Bachelor's degree plus 7 years of Data Science experience.
At least 5 years of experience in Python, R, and/or other data scriptinglanguages.
At least 5 years of experience utilizing a business intelligence visualizationtool (Power BI, Tableau, etc.).
At least 5 years of experience in querying and analyzing and working with datalanguages and platforms (SQL) to investigate large and diverse data sets.