The ideal candidate’s favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities:

• Develop and implement deep learning models to solve business problems
• Analyze large datasets to identify trends, patterns, and insights
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
• Present findings and insights to key stakeholders in a clear and concise manner
• Stay current with the latest trends and technologies in data science and machine learning

Requirements:

• Degree or Master’s in statistics, mathematics, computer science, or related field
• Proficiency in Python, R, or Java
• More than 2 years’ experience in statistical analysis, machine learning and deep learning
• Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch)
• Strong skills in computer vision and image processing is an added advantage
• Familiarity with data visualization (e.g., Matplotlib, Seaborn, ggplot2, Plotly)
• Knowledge of python web development frameworks and technologies