This is a fully remote position, open to applicants in Colombia.

• **Key Responsibilities:**

• Develop, validate, and maintain predictive models such as lead scoring, conversion propensity, and funnel optimization.

• Create tiering models to prioritize leads based on their likelihood of conversion.

• Establish forecasting frameworks for lead volume, conversion rates, and projections related to the pipeline or revenue.

• Construct channel performance models to enhance budget allocation across various channels like paid search, email, ISO partners, etc.

• Oversee model performance and make iterative improvements to enhance accuracy and business impact.

• Develop models to assess and prioritize markets based on anticipated performance and ROI.

• Analyze trends at the geographic, industry, and segment level to uncover growth opportunities.

• Provide data-driven recommendations for market targeting and resource distribution.

• Support campaigns and future product launches by predicting lead volume, conversion rates, and CAC by channel.

• Design and analyze experiments, including A/B testing and cohort analysis, to evaluate incremental impact.

• Utilize statistical and machine learning techniques to address marketing and business challenges.

• Conduct in-depth analyses to aid strategic and operational decision-making.

• Contribute to internal data science and modeling efforts, including proprietary or internal intellectual property work.

• Collaborate with Data Engineering to organize and prepare datasets for modeling purposes.

• Work alongside BI and analytics teams to ensure model outputs are incorporated into reporting and are accessible to stakeholders.

• **Required Education:**

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, or a related field.

• **Required Experience:**

• 3 to 7 years of experience in data science, applied modeling, or advanced analytics.

• **Required Background / Industry Experience:**

• Strong expertise in Python and SQL.

• Demonstrated experience in developing and validating predictive models within a business context.

• Familiarity with statistical methods, machine learning techniques, and forecasting methodologies.

• Excellent problem-solving abilities and the capacity to transform business challenges into analytical solutions.

• Proficiency in conveying complex analytical ideas to non-technical audiences.

• Experience in customer acquisition cost modeling and marketing ROI analysis.

• USD Base Salary.

• Enjoy Paid Time Off (PTO) after just 6 months of service.

• Full-time opportunity.

• Enjoy the freedom of a completely remote work environment!

Marketing Intelligence Analyst

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