Data Scientist, Sr.

SUNDAE, INC.
United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Bash Shell Linux Python (Programming Language) PostgreSQL Type Systems Cloud Platform System Sql Optimization Google Meet

Job 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

Requirements

  • 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

Benefits & conditions

  • Opportunities for growth through mentorship, internal TechTalks, and a dedicated annual learning budget
  • Competitive compensation packages with regular performance and salary reviews
  • Remote work flexibility with adaptable hours to support work-life balance
  • Engagement in meaningful, modern projects utilizing the latest technologies alongside global teams and top brands
  • A collaborative, supportive culture that values ideas and contributions without micromanagement
  • Access to local well-being programs and people-focused support tailored to your location

Equal Opportunity

About the company

AgileEngine is an Inc. 5000 company renowned for creating award-winning software solutions for Fortune 500 brands and innovative startups across more than 17 industries. With a strong focus on application development and artificial intelligence/machine learning, AgileEngine has established itself as a leader in delivering high-quality, scalable, and impactful digital solutions. The company’s people-first culture has earned numerous accolades, including multiple Best Place to Work awards, reflecting its commitment to fostering a supportive and dynamic work environment. AgileEngine prides itself on its innovative approach, collaborative spirit, and dedication to continuous growth, making it an ideal place for professionals seeking to make a meaningful impact in the tech industry.

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