Senior Analytics Specialist

12 hours ago

Kollam, Kerala, India beBeeDataScientist Full time ₹ 18,00,000 - ₹ 25,00,000

Job Summary

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This role is focused on developing and maintaining advanced analytics models and tools that support strategic pricing decisions.

Key Responsibilities:

  • Translate business objectives into analytical requirements to drive informed decision making.
  • Develop processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from various sources.
  • Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models.
  • Research, design, and implement relevant statistical and machine learning models to solve specific business problems.
  • Ensure the accuracy of model results and build trust in their reliability.
  • Apply machine learning model outcomes to relevant business use cases.
  • Educate stakeholders on how to effectively interpret and utilize machine learning model results.
  • Collaborate with teams to define, prioritize, and develop innovative solutions.
  • Promote future-proof practices and holistic solutions, adopt new tools and techniques, and identify opportunities for enhancing analytical solutions.
  • Keep up to date with the latest developments in data science, machine learning, statistics, and experimentation techniques.

Requirements:

  • 6-12 years of relevant experience.
  • Bachelor's or Master's degree in a quantitative field such as Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics.
  • Primary Skills: 6+ Years of experience in advanced quantitative analysis, statistical modeling, and machine learning models.
  • Ability to perform various analytical concepts like Regression, Sampling techniques, Hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling.
  • 6+ years' experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management.
  • 5+ years' experience working with common analytics and data science software and technologies such as SQL Python, R, or SAS.
  • 5+ years' experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2).
  • 5+ years' experience using enterprise-grade data visualization tools (e.g., Power BI , Tableau).
  • 5+ years' experience working with cloud platforms (e.g., GCP, Azure ,AWS).

Preferred Skills:

  • Technical expertise in Alteryx and Knime.

Benefits

  • Professional growth and development opportunities.
  • Opportunities to work with cutting-edge technologies.
  • Collaborative and dynamic work environment.

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