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