Data Scientist
Description
Data scientist:
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.
Key accountabilities:
- Develop predictive and statistical models to support business objectives
- Perform data cleaning, transformation, and feature engineering
- Translate business problems into analytical frameworks
- Build dashboards and data visualizations for stakeholders
- Conduct exploratory data analysis (EDA) to uncover trends and insights
- Collaborate with product, marketing, and engineering teams
- Monitor model performance and ensure continuous optimization
Core behavioral competencies:
- Strategic vision & agility – proficient
- Growth mindset – proficient
- Scalable execution – proficient
- People leadership & talent development – basic/proficient
- Governance & ethical conduct – proficient
- Customer centricity – proficient
- Innovative thinking & digital fluency – expert
- Stakeholder management – proficient
Technical competencies:
- Data modeling & statistical analysis – proficient
- Machine learning & predictive modeling – proficient
- Data wrangling & feature engineering – proficient
- Data visualization & storytelling – proficient
- SQL & database querying – proficient
- Python / R for data science – proficient
- Experimentation & A/B testing – basic/proficient
- Model deployment & monitoring – basic/proficient
Requirements
Education:
- Bachelor’s degree in data science, statistics, computer science, mathematics, or related field.
Experience:
- 4–6 years in data science or advanced analytics roles
- Experience building and deploying machine learning models
- Experience working with large structured and unstructured datasets
- Experience collaborating with cross-functional teams