Drive rigorous statistical execution and algorithmic validation of client-specific MMM frameworks. Build and expand heuristic models, ingest data pipelines, and collaborate with engineering to deliver multi‑objective spend recommendations. Require 5–7 years of data science experience, strong Python, advanced SQL, and time‑series expertise.
Key Highlights
Lead development and validation of Marketing Mix Modeling frameworks for Fortune 500 clients
Design robust heuristic and backup models for high‑variance, low‑resolution datasets
Collaborate cross‑functionally in a fully remote, 100% virtual environment
Key Responsibilities
Expand framework configurations to natively factor in multi‑layered client objectives such as brand awareness versus immediate revenue targets.
Formulate robust heuristic models and pragmatic backup strategies to generate valid analytical insights from limited or high‑variance customer datasets.
Safely ingest highly structured fields from upstream pipelines to execute client‑isolated experimentation.
Leverage modern AI‑assisted IDE tools to expedite data transformations while applying strict analytical validation before deployment.
Collaborate daily with internal engineering cross‑functions via Slack and Google Meet to resolve ambiguous pipeline requirements and technical dependencies.
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Technical Skills Required
Python
SQL
Time-series analysis
Benefits & Perks
Competitive compensation
100% remote work with flexible hours
Learning budget and professional development programs
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Nice to Have
Familiarity with containerized applications managed under Docker or basic Kubernetes.
Practical knowledge of structural time‑series models, Bayesian inference techniques, or custom MCMC configurations.
Experience handling multi‑account privacy boundaries and strict compliance mandates for client data partitioning.
Background in analyzing digital platform performance APIs such as Google Ads, Amazon Advertising, or YouTube Data systems.
Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!We are looking for a
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.