Senior Data Scientist

1 day ago

Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Summary

You will be part of a high-performance team that utilizes data science and machine learning to drive pricing strategy. You will collaborate with the Pricing team to develop and maintain descriptive and predictive analytics models, tools, and processes. This role requires you to have expertise in advanced quantitative analysis, statistical modeling, and machine learning.

The primary purpose of this role is to develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources. You will also conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models. Furthermore, you will research, design, and implement relevant statistical and machine learning models to solve specific business problems.

As a key member of the Pricing Analytics team, you will ensure the accuracy of model results, build trust in their reliability, and apply machine learning model outcomes to relevant business use cases. Additionally, you will educate the pricing team on how to effectively interpret and utilize machine learning model results. You will also assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes.

You will lead and manage analytics projects, ensuring they are completed on time, within scope, and aligned with business objectives. You will also collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions.

**Required Skills and Qualifications**:

  • 6-12 years of experience in advance 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).

**Benefits**: This role offers opportunities for growth, development, and professional recognition. You will be part of a dynamic team that values innovation, collaboration, and customer satisfaction.

**Others**: If you are passionate about data science, machine learning, and pricing strategy, we encourage you to apply for this exciting opportunity.

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