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
