Marketing Data Scientist

This position is only available as a remote contract opportunity and available internationally.

About Plooto

Job Overview: 

Key Responsibilities:

• Attribution Modeling:
• Lead the development and implementation of multi-touch attribution models, including Shapley and Markov chain approaches.
• Collaborate with stakeholders to cultivate agreement on the most appropriate attribution model for Plooto.
• Marketing Mix Modeling and Optimization
• Develop and implement sophisticated marketing mix model to optimize spend across various channels and strategies.
• Conduct in-depth analysis to determine optimal keyword strategies and bidding approaches.
• Continuously refine models to improve marketing ROI and reduce CAC.
• Customer Segmentation and Targeting:
• Develop advanced customer segmentation strategies using machine learning techniques.
• Create and maintain predictive models for customer behavior, including potential churn analysis.
• A/B Testing and Causal Analysis:
• Design and execute A/B tests for marketing campaigns across various channels.
• Conduct multivariate causal analysis to understand complex interactions in marketing efforts.
• Marketing Analytics Infrastructure:
• Work with the data engineering team to ensure robust data pipelines for marketing analytics.
• Contribute to the development of Plooto's overall data and analytics strategy, with a focus on marketing applications.
• Stakeholder Communication:
• Translate complex analytical findings into clear, actionable insights for non-technical stakeholders.
• Regularly present findings and recommendations to marketing, product, and executive teams.

Qualifications:

• PhD in Data Science, Statistics, Computer Science, or a related field with 5+ years of experience in marketing data science; Master's degree with 6+ years of experience; Bachelor’s with 7+ years of experience
• Proven track record of developing and implementing marketing mix models, attribution models, and customer segmentation strategies in a B2B context.
• Expert-level proficiency in Python for data analysis and machine learning.
• Strong SQL skills for complex data manipulation and analysis.
• Experience with marketing analytics platforms including Google Analytics, Hubspot, and Segment.
• Familiarity with cloud-based data platforms, particularly Databricks.
• Demonstrated experience in reducing CAC and optimizing marketing spend through data-driven approaches.
• Strong understanding of statistical methods, machine learning algorithms, and their applications in marketing.
• Experience with A/B testing and causal inference methodologies.

Required Experience:

• Minimum 5 years of hands-on experience applying data science in marketing contexts, with a focus on B2B companies.
• Proven experience in startup environments.
• Track record of building and implementing multi-touch attribution models, including Shapley and Markov approaches.
• Demonstrated success in optimizing marketing spend and improving LTV/CAC ratios through data science techniques.

Preferred Qualifications:

• Experience in fintech or SaaS industries.
• Familiarity with content marketing analytics and influencer marketing measurement.
• Knowledge of customer lifecycle modeling and churn prediction in B2B contexts.

Skills and Attributes:

• Exceptional problem-solving skills with the ability to translate business needs into analytical frameworks.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical audiences.
• Must be able to measure the impact of your efforts in spend, customer conversion, or some other cost/benefit metrics
• Proactive and self-motivated, with the ability to work independently and as part of a cross-functional team.
• Excellent project management skills and attention to detail.
• Adaptability and willingness to learn in a fast-paced startup environment.

What We Offer:

• Opportunity to shape the future of marketing analytics at a growing fintech startup.
• Collaborative work environment with exposure to multiple aspects of the business.
• Competitive salary and benefits package.
• Professional development opportunities and the chance to work with cutting-edge marketing data science techniques.

Why Become a Plootonian?

This position is only available as a remote contract opportunity and available internationally.