Data Analytics Expert

17 hours ago


Lahore, Punjab, Pakistan beBee Careers Full time

About the Role

This is a unique opportunity to leverage advanced analytics and statistical modeling skills in a fast-paced, agile environment. As a Senior Data Scientist, you will drive business growth by designing and implementing predictive models that inform strategic decisions.

Key Responsibilities:

  • Contribute to the launch and ongoing optimization of marketing campaigns, evaluating their effectiveness and providing actionable insights.
  • Collaborate with cross-functional teams to develop data-driven solutions that maximize return on investment (ROI).
  • Apply expertise in media investment channels and associated performance metrics to guide strategic decisions.
  • Lead the creation, maintenance, and improvement of marketing mix and multi-touch attribution models.
  • Partner closely with external partners to deliver actionable insights that inform marketing strategy.
  • Analyze diverse datasets to develop industry-leading models and analyses, supporting end-to-end project execution.

Day-to-Day Activities:

  • Evaluate the performance of marketing campaigns, providing clear recommendations for optimization.
  • Assess media investments, analyzing both spend and returns to inform strategic choices.
  • Develop robust data frameworks and analytical methodologies.
  • Build, refine, and maintain advanced statistical models for marketing mix and attribution analysis.
  • Create optimization algorithms that leverage model outputs to drive business impact.
  • Forecast user lifecycle stages and predict key behaviors.

Qualifications & Experience:

  • Bachelor's degree in a quantitative field such as business analytics, statistics, mathematics, economics, or industrial engineering; advanced degrees are advantageous.
  • Minimum of 4 years' experience developing data science and statistical models.
  • At least 1 year of hands-on experience with media mix modeling and multi-touch attribution.
  • Proficiency in linear and non-linear optimization techniques.
  • Advanced skills in SQL and R.


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