Data Science Supervisor

Minimum Qualifications:

1. Bachelor’s Degree in Statistics, Computer Science, Mathematics, or a related field.
2. Minimum 3–4 years of experience in data analysis or data science.
3. Strong understanding of descriptive, predictive, and prescriptive analytics to support business decision-making.
4. Proficient in building predictive models using machine learning techniques.
5. Skilled in Python programming for data analysis.
6. Strong data storytelling and visualization skills using tools such as Tableau, Power BI, or similar.

Job Responsibilities:

1. Build predictive models and optimize for business.
2. Utilize big data to translate & gain insights to help make business decisions & help improve product/service quality.
3. Use AI, Machine learning, statistics to generate value from data.
4. Conduct descriptive, predictive and prescriptive analysis to help business needs.
5. Conduct reporting analytics, create machine learning models for predictive and surveys.