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