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

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.