Chief Analytics Strategist

1 week ago

Kolkata, West Bengal, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Key Roles and Responsibilities

We are seeking a highly skilled Senior Data Scientist to lead our data analytics efforts. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing.

  • Analyze complex data sets to identify trends, patterns, and insights that can drive business decisions.
  • Design and develop predictive models, algorithms, and techniques to improve the accuracy and efficiency of analytics solutions.
  • Collaborate with cross-functional teams to ensure the data used is accurate, relevant, and up-to-date for analytics purposes.
  • Contribute to hands-on development of data & analytics solutions.
  • Deliver high-quality products and solutions in a timely manner.
  • Accelerate solution delivery using re-usable frameworks, prototypes, and hackathons.
  • Follow MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
  • 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 improve our analytics capabilities.

Education, Technical Skills & Other Critical Requirements

  • 0-5 years of relevant experience in AI/analytics product & solution delivery.
  • Bachelor's/Master's degree in an information technology/computer science/Statistics/Economics or equivalent fields experience.
  • 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; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management.
  • Industry knowledge about emerging AI trends, AI tools, and technologies.

Preferred:

  • Familiarity of 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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