Data Science Leader

2 days ago

Gulbarga, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title:

Senior Data Scientist



Job Responsibilities:
  • Identify trends and patterns in complex data sets to inform business decisions.
  • Design predictive models using machine learning techniques to improve analytics solutions.
  • Collaborate with cross-functional teams to ensure accurate, relevant, and up-to-date data for analytics purposes.
  • Contribute to hands-on development of data & analytics solutions.
  • Deliver products and solutions in a timely, proactive, and entrepreneurial manner.
  • Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons.
  • Ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle by following MLOps principles.
  • Develop and maintain detailed technical documentation.
  • Stay up-to-date on industry trends and new technologies in data science and analytics, and apply this knowledge to enhance analytics capabilities.


Required Skills and Qualifications:
  • 0-5 years of experience in AI/analytics product and solution delivery.
  • Bachelor's/Master's degree in information technology, computer science, statistics, economics, or equivalent fields.
  • Strong understanding of Machine Learning and Deep Learning concepts, with a focus on Natural Language Processing.
  • Proficiency in Python programming language, with experience using libraries like PyTorch for deep learning tasks.
  • Familiarity with Elastic stack (Elasticsearch, Logstash, Kibana) for data management and analysis.
  • Experience in optimizing algorithms and time series forecasts.
  • Knowledge of prompt engineering techniques to improve model performance.
  • Ability to prototype applications using Streamlit or similar tools.
  • Experience working with large and complex internal, external, structured, and unstructured datasets.
  • Model development and deployment in cloud; familiarity with Github, CI/CD process, Docker, Containerization & Kubernetes.
  • Strong conceptual and creative problem-solving skills.
  • Good written, verbal communication skills, and presentation skills to engage with various audiences.
  • Industry knowledge about emerging AI trends, AI tools, and technologies.


Preferred:
  • Familiarity with new age AI and ML techniques such as GenAI, foundational models, large language models (LLMs), and applications.
  • Certifications in AI space such as ML Ops, AI Ops, Generative AI, Ethical AI, AI deployment in cloud.
  • Familiarity with agile methodologies & tools.
  • Prior experience in P&C Insurance Analytics.
  • Prior experience in Analytics consulting and services.

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