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

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