Senior Data Scientist

Key Responsibilities
 

• Leads multiple data science projects ensuring alignment with business goals.
• Develops predictive models and integrates them with Business Intelligence tools.
• Develops and maintains data pipelines for efficient data retrieval and processing. Collaborates with applications and data engineering teams for deploying models at scale.
• Mentors junior data scientists in model development and data handling.
• Engages with Senior Leadership to inform strategic decisions using business intelligence insights.
• Researches and adopts cutting-edge technologies and methodologies in data science.
• Manages stakeholder expectations and delivers actionable solutions.
• Oversees data processing pipelines ensuring data quality and consistency.
• Drives ethical considerations in model deployment and data utilization.
• Collaborates with external partners, research institutions, and subject matter experts to gather domain-specific knowledge and datasets.
• Performs exploratory data analysis to identify patterns, insights, and communicate findings.
• Engage in the ideation and prototyping of new solutions to meet emerging business requirements.
• Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.

Education and Experience

 

• Bachelor's Degree in Information Technology or related field required.
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field preferred
• 5+ years of relevant experience required.
• Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Deep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.
• Strong problem-solving, critical thinking, and analytical capabilities