Data Scientist





Key Responsibilities:

  • Collaborate with business stakeholders to understand and define business objectives and challenges.

  • Translate business objectives into well-defined data science problem statements and formulate appropriate project plans and timelines.

  • Lead the development and deployment of advanced machine learning models tailored to address specific business needs and objectives.

  • Work closely with Data Engineers to preprocess data, build predictive models, and deploy solutions in a production environment.

  • Present project findings and recommendations to stakeholders using clear visualizations and effective communication.

  • Provide expert insights and recommendations to address queries and challenges from stakeholders, offering data-driven justifications for project outcomes.

Skills and Experience:

  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field.

  • 3-5 years of professional experience in data analysis, predictive modeling, and data driven decision-making.

  • Prior experience in the marketing or e-commerce sector is advantageous. ∙ Ability to lead cross-functional teams and drive projects to successful completion. ∙ Proficiency in Python for data manipulation, analysis, and modeling.

  • Basic understanding of SQL for data querying and manipulation.

  • Expertise in machine learning models like Gradient Boosting models(e.g.,XGBoost, LightGBM)), Random Forest, and Support Vector Machines.

  • In-depth understanding of statistical concepts, hypothesis testing, regression analysis, and model evaluation.

  • Proven track record of translating business requirements into actionable data science projects.

  • Excellent communication skills for conveying complex technical concepts to non technical stakeholders effectively.

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