Description

Responsibilities:
• Analyze complex data using statistical and machine learning models to derive actionable insights.
• Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs.
• Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
• Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.
• Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.

Requirements:
• Bachelor's or Master's degree in a quantitative field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in Python for data analysis and visualization, along with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.
• Strong understanding and experience with NLP, Generative AI, and LLMs.
• Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
• Experience in business analysis and working in an Agile framework

Education

Bachelor's Degree