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Data Scientist
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
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