Qualifications and Skills

• Proficiency in Python, R, and SQL to develop data analytics models and solutions (Mandatory skill).
• In-depth experience with TensorFlow for implementing machine learning and deep learning models.
• Expertise in using PyTorch for developing complex neural network models and conducting research.
• Strong analytical skills with experience in using Pandas for data manipulation and analysis.
• Hands-on experience with Tableau to create data visualizations and dashboards.
• Understanding and application of Generalized Linear Models (GLM) for predictive modeling.
• Strong problem-solving skills and ability to work with large datasets to extract meaningful insights.
• Excellent communication skills to translate complex data findings into actionable business insights.

Roles and Responsibilities

• Lead and manage data science projects from conceptualization to implementation, ensuring timely delivery of analytics solutions.
• Utilize Python, R, and SQL to analyze complex datasets and build predictive models to solve business problems.
• Apply TensorFlow and PyTorch for the development of innovative machine learning and deep learning algorithms.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Create and maintain interactive dashboards and visualizations using Tableau to communicate data insights effectively.
• Perform data cleansing, processing, and validation to ensure data integrity and usability.
• Stay updated with the latest advancements in data science and analytics to foster innovation within the team.
• Provide mentorship and guidance to junior data scientists, fostering a culture of continuous learning and improvement.