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# Data Scientist, Sr.

- **Company:** SUNDAE, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Bash Shell, Linux, Python (Programming Language), PostgreSQL, Type Systems, Cloud Platform System, Sql Optimization, Google Meet
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pecf2s5p60

## About the Role

* 5-7 years of professional experience in data science, with a focus on time-series analysis, prior distributions, or complex attribution modeling
 * Proven experience applying or testing the Meridian MMM framework on real-world datasets
 * Strong proficiency in Python, emphasizing tools that support static type systems and structured schemas
 * Expertise in operating within Mac/Linux terminal environments, including Bash and shell utilities
 * Advanced SQL skills for querying and preparing data in cloud systems such as AWS Athena and PostgreSQL
 * Excellent communication skills with the ability to defend technical and mathematical methodologies confidently

## Description

We are seeking a highly skilled Senior Data Scientist to join our team. In this role, you will be responsible for executing rigorous statistical analyses, multi-goal tuning, and validating algorithms within client-specific Meridian MMM frameworks. Your primary focus will be on transforming noisy marketing signals and low-resolution data matrices into reliable, multi-objective spend recommendations. You will develop heuristic baseline models for high-variance datasets, ingest structured data from upstream pipelines for client-specific experimentation, and utilize Python alongside advanced SQL techniques within AWS Athena and PostgreSQL environments. This position offers an exciting opportunity to work on cutting-edge marketing analytics, collaborate with cross-functional teams, and contribute to impactful projects that drive strategic decision-making for our clients., * Expand framework configurations to incorporate multiple client objectives, such as separating brand awareness metrics from revenue targets

 * Develop robust heuristic models and backup strategies to generate valid insights from high-variance or limited datasets
 * Ingest structured data from upstream pipelines to facilitate client-isolated experimentation
 * Utilize modern AI-assisted IDE tools to accelerate data transformations while maintaining strict validation standards
 * Collaborate daily with engineering teams via Slack and Google Meet to resolve technical dependencies and pipeline ambiguities
 * Design and validate models that effectively handle complex, high-variance datasets for accurate marketing attribution
 * Ensure compliance with data privacy and security standards, especially when working with multi-account or sensitive client data


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