Modelling & Data Science Executive

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:

Bachelors 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