Data Scientist

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that drive business strategy.
• Develop and implement predictive models and statistical analyses to support decision-making.
• Conduct exploratory data analysis (EDA) to uncover meaningful insights and effectively communicate findings.
• Collaborate with stakeholders to define data requirements and deliver analytical solutions.
• Visualize data and present findings to non-technical audiences in a clear and compelling manner.
• Identify patterns, issues, and augmentation techniques to support ML engineers in building AI/ML models.
• Participate in the design and development of data pipelines using Spark and other big data technologies.
• Monitor and maintain the performance of deployed models and analytics solutions.
• Stay updated on industry trends and best practices in data science and big data technologies.

• Bachelor s degree in Data Science, Computer Science, Statistics, or a related field ( masters degree is a plus ).
• 3-5 years of experience in data science or a related role.
• Proficiency in programming languages such as Python, NumPy, Scikit-learn, TensorFlow, PyTorch, or Scala .
• Experience with big data technologies (eg, Hadoop, Spark).
• Strong understanding of statistical models and machine learning techniques .
• Strong EDA (Exploratory Data Analysis) capabilities with a knack for storytelling through data.
• Experience in the retail sector is highly desirable.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills , with the ability to convey complex information effectively.