Data Scientist at BURN

Job description
About the Role:

BURN is looking to hire a highly analytical Data Scientist to utilize data mining techniques and tools to turn data from multiple sources to valuable insights for the benefit of the organization. Key responsibilities will span across the entire data value chain from locating and assembling data, building datasets for analysis, implementing and interpreting mathematical and statistical procedures and creating final presentations, reports, and graphics. The successful candidate will work closely with the Manager and Business Intelligence team to deliver to all stakeholder expectations, including internal customers such as commercial, new product development, expansion and externals like investors, funding partners and auditors.

Duties and Responsibilities

1. Data management: Work with big data/large data sets, manage and manipulate them through data programming and scripting tools like Python, R, MS Excel VBA et al.
2. BI reporting: Develop BI reports, dashboards, and data models with the help of BI tools and MS-365 products and present consequent reports to management.
3. Review and validate homegrown data as it is collected and from various sources, create, discover, and implement new data analysis, visualization, and processing programs.
4. Work closely with all departments that generate and consume homegrown data including after sales, market research, commercial, carbon, expansion and new product development to validate data sources and deliver quality data output that is usable for strategic decision making.
5. Develop data management protocols working alone or partnering with other programmers and other relevant internal stakeholders, aid in the design, development and implementation of new programs and application for managing big data.
6. Design and implement projects data-needs solutions, review project data needs and recommend designs, implement them and work to continually improve them.
7. Process, clean, and verify the integrity of data used for analysis and reporting.
8. Create automated anomaly detection systems and constant tracking of its performance.
9. Work closely with data systems suppliers to maintain expected standards of data integrity for all data related projects.
10. Cooperate with IT department to deploy software and hardware upgrades that make it possible to leverage big data.
11. Monitor critical analytics and metrics results and communicate the same effectively and in a timely manner to user departments and any other external stakeholders.
12. Data warehouse system: Deployment of data to the data warehouse systems.
13. Machine learning: design, develop, and maintain machine learning algorithms that would enhance and improve the data handling environment in the organization.

Skills  and Experience

1. At least 2 to 3 years’ experience in a BI or data science environment.
2. Have at least a degree in Applied Statistics/ Mathematics/ Actuarial Science/ Data Science/ Economics and Statistics.
3. Experience in machine learning algorithms.
4. Proficiency with at least one programming language for data science for example R, Python, SAS, MS Excel etc.
5. Proficiency in database management and query languages e.g., SQL, MySQL as well as data warehouse set up & management.
6. Experience in cross-department functioning and reporting/presentation to c-suite and senior management.
7. Experience and skills in working with AWS cloud computing for database management, data visualization and analytics using such tools like S3, Quicksight, Kinesis etc will be an added advantage.