Data Scientist
1 week ago
The Data Scientist department is constantly looking for the adoption of technology and currently has vast data that needs to be modeled, analyzed, interpreted with meaningful predictive outcomes. The **data scientist **is expected to lead the development team on the data components, analytics and involve in setting up dashboards and scorecards metrics for stakeholders within and outside the organization.
**Responsibilities**
- The individual will be responsible for scripting data models, automating data feeds using BI tools to help visualize data and various ad hoc projects.
- The individual will also need to drive statistical analysis projects from beginning to end, and comes with (not required) working experience with regression, factor analysis, building models and predictive analytics.
- Strong communication skills to obtain stakeholder buy-in and convince audience on the quality of the delivered models are critical to this position.
- To work collaboratively with development team on data components, analytics.
- To set up dashboards and scorecards metrices for internal and external stakeholders.
- To drive improvement in methodologies, systems and processes.
- Have a deep understanding of large data, our data structures, and how to manipulate our data in an efficient manner.
- To create statistical models, analyze factors significant to driving user engagement and build predictive models based on historical data.
**Requirements**:
- At least 3 years' experience in Data Science.
- Expert in devising statistical algorithms.
- The individual should have a desire for data mining, scripting, problem solving and statistical analysis.
- Equipped with Python knowledge, SQL, NoSQL, Excel, VBA, macros, queries, etc.
- Great data visualization skills using Power BI, Tableau or any other sophisticated tools.
- Excellent communication skills and good attitude.
**Job Types**: Full-time, Permanent
**Salary**: RM3,500.00 - RM7,000.00 per month
**Benefits**:
- Health insurance
- Professional development
Schedule:
- Monday to Friday
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