Brandintelle Hiring Drive 2024 For Senior Data Scientist (Marketing Mix Modeling) | Location Mumbai

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Brandintelle Hiring Drive 2024: Brandintelle Hiring Drive 2024 for its Senior Data Scientist (Marketing Mix Modeling). Brandintelle Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Master’s/Bachelor’s in Statistics, Economics, Mathematics, Data Science, or related, with an advanced degree preferred. if you are interested, please apply as soon as possible.

Company Name: Brandintelle

Role: Senior Data Scientist (Marketing Mix Modeling)

Location: Mumbai

Experience: 2 years

Qualification: Masters/Bachelors in Statistics, Economics, Mathematics, Data Science, or related, with an advanced degree preferred.

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Brandintelle Hiring Drive 2024

Job Description:

  • As a vital member of our team, you’ll use advanced MMM techniques to unravel the complexities of marketing impacts, providing essential insights for strategy optimization.


  • Masters/Bachelor’s in Statistics, Economics, Mathematics, Data Science, or related, with an advanced degree preferred.
  • Minimum 2 years of experience in marketing analytics, especially in MMM and econometrics.
  • Proficiency in statistical software (R, Python) and advanced Excel.
  • SAS, SPSS familiarity is a plus.
  • Solid understanding of marketing principles and analytical model development.
  • Strong analytical, problem-solving, and communication skills.
  • Must have practical experience in developing and executing Marketing Mix Models.
  • ML engineering skills, including experience with AI model development and deployment.
  • Experience with Generative AI and Large Language Models (LLMs), showcasing an ability to leverage these technologies in marketing analytics.


  • Develop and execute MMMs to assess marketing channel effectiveness, focusing on sales, revenue, market share, and profitability.
  • Work closely with marketing, finance, and data science teams to ensure data completeness and accuracy.
  • Analyze data to identify key trends and correlations between marketing activities and business outcomes.
  • Apply statistical and econometric models to measure marketing investments’ incremental impact.
  • Translate model findings into actionable insights and communicate these effectively.
  • Continuously monitor and refine models, staying abreast of industry advancements.
  • Provide thought leadership and innovative approaches in marketing analytics.

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