
Unlocking Business Potential through Strategic Data Insights
3 days ago
About the Position:
We seek a seasoned Data Strategist to spearhead our Multi-Touch Attribution (MTA) modeling efforts. This critical role will be instrumental in accurately measuring the impact of each marketing channel and touchpoint on user conversions and business outcomes.
You will collaborate closely with marketing, growth, and data engineering teams to develop attribution frameworks, enable budget optimization, and enhance ROI.
Responsibilities:- Develop and implement algorithmic attribution models to quantify the impact of various marketing touchpoints.
- Apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate online and offline signals.
- Work with large-scale marketing datasets including impressions, clicks, conversions, and engagement metrics.
- Partner with marketing teams to improve channel efficiency and campaign planning based on attribution insights.
- Conduct model validations using holdout experiments and out-of-sample testing to ensure reliability.
- Automate model scoring and reporting pipelines to provide real-time attribution visibility.
- Create intuitive dashboards and documentation to communicate findings and influence strategic decision-making.
- At least 36 years of experience in data science, marketing analytics, or attribution modeling.
- Strong hands-on experience with Python, SQL, and relevant data science libraries.
- In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay.
- Solid understanding of digital marketing channels and customer journey analytics.
- Experience with model validation, experimentation design, and lift analysis.
- Strong problem-solving and communication skills with a product mindset.
This role requires a strong foundation in data science, marketing analytics, and attribution modeling. If you have a passion for working with data and driving business outcomes, we encourage you to apply.
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