Data Scientist

Responsibilities

• Collaborate with stakeholders across the organization to identify opportunities for leveraging company data to drive impactful business solutions.
• Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies.
• Evaluate the effectiveness and accuracy of new data sources and data-gathering techniques.
• Develop custom data models and algorithms to extract valuable insights from diverse datasets.
• Utilize predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other critical business outcomes.
• Coordinate with different functional teams to implement models and monitor their performance.
• Create and maintain processes and tools to monitor model accuracy and ensure data integrity.
  

Requirements

• Strong problem-solving skills with a focus on product development and optimization.
• Proficiency in using statistical languages such as R, Python, and SQL to manipulate data and derive actionable insights from large datasets.
• Experience working with and creating data architectures.
• Proven experience in image classification, segmentation, detection, and other vision-related problems, with a deep understanding of deep learning models.
• Familiarity with frameworks and libraries such as Torch, TensorFlow, OpenCV, PIL, FastAPI/Flask (for deployment), SQL, Docker, and Version Control systems.
• Excellent written and verbal communication skills for effective collaboration across various teams.
• A strong drive to continuously learn and master new technologies and techniques in the data science field.