Senior Data Analyst

6 days ago

Ahmedabad, Gujarat, India beBeedataanalyst Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

We are seeking a Data Analyst with expertise in statistical modeling and machine learning to join our team. As a key member of our data services partner, you will work closely with clients to extract insights from complex data sets and develop predictive models.

Our company leads the way in innovation and technology excellence, delivering high-quality data services to global brands and enterprises.

  • The DS/AI Competency Center focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to build solutions for business problems.
  • We utilize Exploratory Data Analysis, Statistical Modeling, Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance.

Key Responsibilities:

  • Data analysis and interpretation, statistical modeling, and machine learning algorithm development following CRISP-DM methodologies.
  • Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the 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

  • Must Have:
    • 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 plans, 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.

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