Responsibilities

• Conduct exploratory data analysis to identify trends and patterns in large datasets.
• Develop and implement machine learning algorithms to build predictive models.
• Collaborate with cross-functional teams to design and execute data-driven experiments.
• Clean, transform, and preprocess raw data to ensure data quality and reliability.
• Develop and maintain data pipelines and workflows to automate data processing.
• Provide insights and recommendations to stakeholders based on data analysis.
• Stay up-to-date with the latest advancements in data science and machine learning.

• Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
• Proficient in programming languages such as Python, R, or Scala.
• In-depth knowledge of statistical analysis and predictive modeling techniques.
• Strong experience with machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with big data processing technologies such as Hadoop or Spark.
• Excellent communication and presentation skills, with the ability to distill complex findings into clear and actionable insights.