Job 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