✨ AI Summary
As a Data Scientist, you will 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 responsibilities include developing predictive and statistical models, performing data cleaning and transformation, building dashboards, conducting exploratory data analysis, and collaborating with cross-functional teams. The role requires proficiency in data modeling, statistical analysis, machine learning, data wrangling, visualization, SQL, and Python/R for data science.
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
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 optimizationCore 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 – ProficientTechnical 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