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

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