Data Scientist

Key Responsibilities:

• Data Analysis & Interpretation

  :
• Analyze large datasets to uncover trends, patterns, and insights that support business objectives.
• Perform

  statistical analysis

  and

  data cleaning

  to ensure data quality and integrity.
• Translate complex data findings into

  clear, actionable insights

  for business stakeholders.

• Machine Learning & Predictive Modeling

  :
• Build and deploy

  machine learning models

  to predict future trends or outcomes.
• Work with supervised and unsupervised learning techniques to solve complex business problems.
• Fine-tune models for

  optimization

  , and improve model accuracy over time.

• Data Visualization & Reporting

  :
• Develop interactive

  data visualizations

  using tools like

  Tableau

  ,

  Power BI

  , or custom-built dashboards to present insights in an accessible format.
• Prepare and present regular reports on key metrics and insights for senior management and other stakeholders.

• Collaboration & Cross-functional Support

  :
• Collaborate with other teams (engineering, product, marketing, etc.) to define data-driven strategies and business requirements.
• Work closely with software engineers to integrate

  machine learning models

  into production systems and pipelines.

• Data Collection & Data Pipelines

  :
• Design and implement

  data collection methods

  , including working with APIs, databases, and big data tools.
• Develop, optimize, and maintain

  ETL processes

  (Extract, Transform, Load) for clean and usable data.

• Research & Innovation

  :
• Stay updated on the latest trends in

  data science

  ,

  machine learning

  , and

  artificial intelligence

  (AI).
• Experiment with new algorithms and techniques to improve model performance and data insights.

• Business Problem Solving

  :
• Work closely with stakeholders to understand business challenges and translate them into

  data science

  projects.
• Provide actionable recommendations based on data findings to help improve

  business processes

  and decision-making.