Data Science Strategist

2 weeks ago

Hyderabad, Telangana, India beBeeDataScience Full time ₹ 1,12,50,000 - ₹ 2,02,50,000

Job Overview:

We are seeking a highly skilled Data Science Strategist to drive business growth through data-driven insights.

Responsibilities:
  • Analyze complex data sets to identify trends, patterns, and actionable recommendations for business improvement.
  • Design and develop predictive models, algorithms, and machine learning techniques to enhance analytics capabilities.
  • Collaborate with cross-functional teams to ensure accurate, relevant, and timely data for analytics purposes.
  • Contribute to hands-on development of data & analytics solutions that meet business needs.
  • Deliver high-quality products and solutions in a timely manner.
  • Accelerate solution delivery using re-usable frameworks, prototypes, and agile methodologies.
  • Foster a culture of innovation by staying up-to-date on industry trends and new technologies in data science and analytics.
Requirements:
  • 0-5 years of experience in AI/analytics product & 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.
Preferred Qualifications:
  • 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.
Benefits:
  • Opportunity to work with cutting-edge technologies and innovative projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
  • Competitive compensation and benefits package.
How to Apply:

To apply, please submit your resume and cover letter with your application. We look forward to hearing from you

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