Data Science Strategist

2 days ago

Bengaluru, Karnataka, India beBeeDataScience Full time ₹ 15,00,000 - ₹ 28,00,000
Data Science Strategist

We are seeking a seasoned Data Science Strategist to lead our team in developing and implementing data-driven solutions. As a key member of our organization, you will be responsible for designing and programming integrated software algorithms to structure, analyze, and utilize data in both structured and unstructured environments.

Responsibilities
  • Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments.
  • Statistical Modelling: Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages.
  • Insights and Optimization: Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance.
  • ML and Statistical Techniques: Utilize techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorithms that enhance product quality, data accuracy, and system performance.
  • Code Implementation: Translate algorithms and technical specifications into efficient, production-ready code using modern programming languages like Python.
  • Debugging: Implement programming practices, perform testing and debugging, and increase system efficiency.
  • Documentation: Create comprehensive documentation and maintenance procedures for implemented systems and algorithms.
Requirements
  • Bachelors or masters degree in computer science or a related field.
  • Proficiency in machine learning and natural language processing (NLP).
  • Experience with software fundamentals, data structures, and algorithms.
  • Hands-on experience with CI/CD pipelines, distributed systems, and cloud-based software.
  • Expertise in generative AI and building conversational systems.
  • Classification systems, sentiment analysis, NLP, and entity extraction.
  • Computer vision, OCR, and content extraction from images, PDFs, and HTML.
  • 7+ years of experience with custom models and ensembles.
  • Experience in cloud-based environments (e.g., AWS, Azure, GCP).
Software Development

Experience with object-oriented design principles, common design patterns, and best practices.

About Us

We are a dynamic organization dedicated to harnessing the power of data science to drive innovation and growth.

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