We are currently seeking a Data Scientist to join our Data Science team. This role demands a high level of expertise in analytical methodologies and tools, data modelling, as well as the ability to deliver project independently with minimal supervision.

Key Responsibilities:

• Advanced Data Modeling: Develop sophisticated models that integrate with our enterprise data systems. Use statistical, algorithmic, mining, and visualization techniques to model complex problems, discover insights, and identify opportunities.
• Agentic Modeling: Develop sophisticated agentic workflows that integrate with our enterprise data systems. Proficiency in agentic design, LLM fine-tuning, and LLM optimization to solve complex problems with cost efficient models.
• Innovative Solution Development: Lead initiatives to design, test, and implement predictive models and machine-learning algorithms. Pilot the scalability of new ideas and integrate successful models into our core systems.
• Independent Execution & Ownership: Take full ownership of assigned projects, operating with minimal supervision. Given the project requirements, demonstrate the ability to independently scope problems, design solutions, and deliver the implementation and the evaluation while proactively communicating progress, challenges, and results to the team.
• Project Leadership: Collaborate with the Data Science Team Manager to prioritize business and information needs. Manage end-to-end data projects, ensuring they adhere to timelines and quality standards.
• Mentorship: Act as a mentor to junior data scientists. Share knowledge and help team members enhance their skills in data science techniques and tools.

Requirements:

• Education: PhD preferred in Data Science, Natural Language Processing, Information Retrieval, Mathematics, and Statistics, or a related quantitative field;
• Master’s degree with exceptional experience will also be considered.
• Technical Skills: Expert proficiency in Python and PySpark. Strong experience in machine learning, AI, and Agentic technologies. Familiarity with AWS tools like S3, SageMaker Studio, Athena, etc., is highly desirable.
• Experience: 3+ years of experience in a science role with a demonstrated track record of delivering impactful data-driven solution.
• Analytical Skills: Exceptional analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to advocate for data-driven approaches to non-technical audiences.