Senior Data Insights Professional

5 days ago

Nashik, Maharashtra, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

A Data Scientist role involves leveraging data, analytics, and AI technologies to extract insights, build predictive models, and develop solutions.

Key Responsibilities:
  • Business understanding, data preparation, modeling, evaluation and deployment of solutions – following CRISP-DM methodologies.
  • Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to a business problem.
  • Experience with business requirements gathering, transforming them into technical plans, data processing, feature engineering, hypothesis testing, transforming findings into tasks,
  • Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements)
  • Creation and following of standards to improve competency quality.
Requirements:
  • 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience.
  • Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.).
  • Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL
  • Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have).
  • Familiarity with theory behind various machine learning concepts
  • Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban).
  • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.
  • Experience in working with client-facing role.
  • Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.
  • Great communication skills.
Nice to have:
  • Other programming languages knowledge e.g., SQL, R
  • Experience working in Spark (PySpark)
  • Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed
  • Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)
  • Strong statistical/mathematical background
  • Experience in working in matrix organization

You will be part of a dynamic team that values collaboration, innovation, and continuous learning. As a Data Scientist, you will have the opportunity to work on challenging projects, develop your skills, and contribute to the company's growth and success.

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