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.
Requirements:
- 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.
Responsibility:
- 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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