Business intelligence developer vs data scientist

Differences between business intelligence developer and data scientist duties and responsibilities

Business intelligence developer example responsibilities.

• Used TFS for managing versions of the code with in the development team.
• Develop VBA base application to automate testing of report output and test scenarios.
• Manage security privileges for each subject area and dashboards according to user requirements.
• Develop various T-SQL store procedures, triggers, views, and adding/changing tables for data extraction, data loads and transformations.
• Develop QlikView dashboards using drill down and cyclic grouping and also using input field, table box, list boxes etc.
• Introduce use of statistics, regression, supervise and unsupervise predictive analytics and visualization.
Show more

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.
Show more