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Job Description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. This role involves analyzing large datasets to uncover insights that drive business decisions, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions.

Key Responsibilities:

  • Data Preparation: Collecting, cleaning, organizing, and transforming raw data into a format suitable for analysis by collaborating with data engineers and business.
  • Model Development: Build and refine predictive models and machine-learning algorithms to address business challenges including recommendation engines, customized data models, customer journeys, etc.
  • Data Visualization: Present complex data insights using data visualization techniques to stakeholders across the organization.
  • Collaboration: Work closely with techies and business experts to demonstrate data insights for better data-driven decision.
  • Innovation: Stay updated with industry trends and technologies, proposing innovative solutions to enhance business processes

Job Requirement

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Economics Mathematics, or a related field.
  • Programming proficiency in Python, R, & SQL.
  • Problem-solving and analytical thinking.
  • Experience with data visualization tools (Tableau, Power BI).
  • Expertise in statistical analysis and machine learning.
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., scikit-learn, pandas).
  • Practical experience with big data platforms (Databricks, Spark) is a plus.
  • Practical experience with Cloud platforms (Azure/AWS/GCP) is a plus.
  • Knowledge of Prompt Engineering & Gen AI tools & techniques is a plus.
  • Knowledge & Practical experience of Deep Learning model development is a plus
  • Excellent communication abilities for technical and non-technical audiences
  • Strong collaborative mindset and team orientation
  • Customer-focused approach
  • Ability to work with integrity and speak up when needed

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