We are looking for a Data scientist with 2.5+ Years of Experience.
Qualifications:
Education
- Bachelor's degree in Statistics, Computer Science, Engineering, and Technology o OR Post Graduate degree in Statistics, Computer Science, Engineering, Management and Technology.
Experience
- 2.5+ Years of Work Experience in a competitive environment with a desire to learn and excel in the field of advanced analytics, machine learning and artificial intelligence.
- Working knowledge of data manipulation and analysis languages Python and SQL, data visualization platforms- PowerBI (Good to have)/ Tableau and automation tools like Power Automate/Dataiku (knowledge is a plus)
- Experience in implementing machine learning techniques (e.g., linear/logistic regression, Segmentation/classification techniques.) and building end to end automation solutions.
- Strong foundation in statistical methodologies and data modelling.
- Highly motivated, organized, and proactive self-starter.
- Excellent English written and verbal communication.
- Utilizing the Microsoft Office Suite (Word, Excel, PowerPoint, and Outlook).
- Strong analytical and problem-solving skills.
- Strong teamworking skills.
Essential Duties and Responsibilities:
- Collects internal and external data for assigned projects. Able to perform data manipulation and exploration tasks required to fully evaluate customer characteristics and help the leadership make informed business decisions for assigned projects; Managing the coding and/or extraction of data to conduct thorough analysis.
- Ability to understand the business insight through data analysis and building of models and other analytics.
- Understanding data analysis projects by external consultants; being able to replicate their codes and processes in other languages if required.
- Developing and analyzing statistical and mathematical models on business opportunities; developing forecasting models for customer growth, loss and usage based on historical customer behavior, existing market data and business projections; identifying key trends and data characteristics within the data sets that require further investigation; and using analysis to generate business recommendations (e.g., to improve profitability, to find more customers).
- Help create and maintain a suite of advanced analytical/machine learning libraries that can help detect patterns within our customer data; outline all structured and unstructured data elements required to fully evaluate customer characteristics and make informed business decisions for assigned projects.
- Ensure close collaboration with the stakeholders and BU Managers and communicate the results and analysis effectively.
Other Duties:
- Proactively pursues professional development activities (e.g., learning new tools, techniques)
- Performs internal trainings, process documents, knowledge sharing etc. as requested by the Customer Insights leadership team.
