Software developer vs data scientist

Differences between software developer and data scientist duties and responsibilities

Software developer example responsibilities.

• Restructure the project code in repository and use maven to manage project dependencies.
• Used JIRA to manage and track the issues report by QA and prioritize and take action base on the severity.
• Develop the front-end web page by using HTML5, CSS3, and JavaScript, taking advantage of the frameworks Angular.JS.
• Lead team and develop UNIX administrative and maintenance development tasks, supporting customer requirements.
• Configure custom PL/SQL database to manage new database objects including triggers, user-define functions and store procedures.
• Implement a centralize configuration system for managing application settings, consisting of a desktop application with a WCF backend.
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Data scientist example responsibilities.

• Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
• Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
• Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
• Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
• Perform cross-validation-test on linear regression model of data using scikit-learn.
• Develop python base statistical visualization to provide insights of fuzzy social media data.
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