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:
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Develop predictive and statistical models to support business objectives
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Perform data cleaning, transformation, and feature engineering
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Translate business problems into analytical frameworks
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Build dashboards and data visualizations for stakeholders
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Conduct exploratory data analysis (EDA) to uncover trends and insights
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Collaborate with Product, Marketing, and Engineering teams
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Monitor model performance and ensure continuous optimization
Core Behavioral Competencies:
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Strategic Vision & Agility - Proficient
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Growth Mindset - Proficient
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Scalable Execution - Proficient
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People Leadership & Talent Development - Basic/Proficient
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Governance & Ethical Conduct - Proficient
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Customer Centricity - Proficient
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Innovative Thinking & Digital Fluency - Expert
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Stakeholder Management - Proficient
Technical Competencies:
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Data Modeling & Statistical Analysis - Proficient
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Machine Learning & Predictive Modeling - Proficient
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Data Wrangling & Feature Engineering - Proficient
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Data Visualization & Storytelling - Proficient
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SQL & Database Querying - Proficient
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Python / R for Data Science - Proficient
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Experimentation & A/B Testing - Basic/Proficient
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Model Deployment & Monitoring - Basic/Proficient
Requirements
Education
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Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
Experience
:
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4-6 years in data science or advanced analytics roles
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Experience building and deploying machine learning models
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Experience working with large structured and unstructured datasets
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Experience collaborating with cross-functional teams