Modelling & Data Science Executive
2 weeks ago
The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets.
Job Description:
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related field.
- Proven 3-4 years of experience in a similar role.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
**Skills**:
- Proficiency in R (tidyverse, LME4/lmerTest, plotly/ggplot2), or Python, for data manipulation and modelling and visualization, and SQL (joins, aggregation, analytics functions) for data handling.
- Ability to handle & analyze marketing data and perform statistical tests.
- Experience with data visualization tools such as Tableau, PowerPoint, Excel.
- Strong storytelling skills and the ability to generate insights & recommendations.
**Responsibilities**:
- Understand business requirements and suggest appropriate marketing measurement solutions (Media Mix Modelling, Multi-Touch Attribution, etc.)
- Conduct panel data analysis using fixed effects, random effects, and mixed effects models.
- Perform econometric modelling, including model evaluation, model selection, and results interpretation.
- Understand, execute, and evaluate the data science modelling flow.
- Understand marketing, its objectives, and effectiveness measures such as ROI/ROAS.
- Familiarity with marketing channels, performance metrics, and conversion funnel.
- Experience with media mix modelling, ad-stock effect, saturation effect, multi-touch attribution, rule-based attribution, and media mix optimization.
- Knowledge of Bayes’ theorem, Shapley value, Markov chain, response curve, marginal ROI, halo effect, and cannibalization.
- Experience handling marketing data and performing data QA & manipulation tasks such as joins/merge, aggregation & segregation, append.
Location:
New delhi
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
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