Data Scientist

DUTIES AND RESPONSIBILITIES:

• Identify valuable data sources and automate data collection for AI and chatbot development.
• Preprocess structured/unstructured data for training ML and Generative AI models.
• Analyze large datasets to uncover trends and enhance learning experiences.
• Build and fine-tune predictive models and chatbot assistants using Generative AI.
• Deploy AI models and chatbots to web-based production environments with scalability in mind.
• Visualize insights and model performance via clear, actionable dashboards.
• Collaborate with engineering and product teams to integrate AI into the platform.
• Implement AI assistants with focus on NLU, personalization, and ongoing learning.
  Maintain and investigate ETL pipelines that feed into the data warehouse.
• Create proof-of-concept (POC) solutions and present ideas clearly to management and stakeholders.
• Stay up-to-date with Generative AI trends to improve interactive learning tools.
  

KNOWLEDGE, SKILLS AND ABILITIES:

• Strong understanding of Machine Learning, AI algorithms, and operations research techniques.
• Proficient in Python, SQL, and R; familiarity with Django is a plus.
• Experience with BI tools such as Tableau or Looker Studio, and a solid foundation in data mining.
• Hands-on experience with data pipelines and workflow orchestration tools like Apache Airflow.
• Solid math and statistical background (e.g., statistics, algebra, probability).
• Strong analytical thinking and a solid business acumen to translate data into strategic insights.
• Excellent problem-solving, communication, and presentation skills.
• Familiarity with Generative AI models such as ChatGPT, Gemini, Claude, or Mistral.
• Experience working with Generative AI frameworks like LangChain, LlamaIndex, or Langgraph for building AI-powered applications.
• Comfortable experimenting with emerging AI tools and applying them in practical, user-centric applications.
• Experience in product design and ownership is a strong plusespecially in building AI-powered user experiences from concept to deployment.

EDUCATION AND EXPERIENCE:

• BSc/BA in Computer Science, Engineering, or a related field; a graduate degree in Data Science, AI, or a relevant discipline is preferred.
• 2+ years of hands-on experience as a Data Scientist, Data Engineer, Machine Learning Engineer, or Big Data Specialist.
• Experience working in a technology-driven or startup environment is an advantage.
• Experience as an AI Engineer or in developing AI-driven applications is a strong plus.