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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
