Data Scientist — MMM & ML on AWS

Ekloud Data Labs; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Ekloud Data Labs is seeking a hands-on Data Scientist to design, deploy, and scale Marketing Mix Models and related ML solutions on AWS. You will own end-to-end modeling, forecasting, and budget optimization, with emphasis on MMM and ROI attribution.

Strong Python, SQL, and MLOps skills are required, plus collaboration with marketing, product, and engineering to translate insights into business actions. Ideal candidates have deep modeling fundamentals, experience in Martech/AdTech, and a proven

Qualifications

• Strong experience with Python for data science and production-ready code.
• Hands-on ML lifecycle experience from data prep to deployment and monitoring.
• Proven MMM domain knowledge or modeling-intensive experience.
• Experience with SQL, data pipelines, and cloud-based data engineering.

Responsibilities

• Design, develop, deploy, and scale Marketing Mix Models.
• Build forecasting and budget optimization models for marketing strategy.
• Develop Python data pipelines for ingestion, transformation, and feature engineering.
• Create APIs and dashboards to present ROI, MROI, and budget recommendations.
• Deploy and monitor ML models on AWS with MLOps practices.
• Collaborate with engineering, marketing, product, and leadership to translate outputs into business actions.

Skills

Python

Pandas

NumPy

Scikit-learn

Visualization

Jupyter Notebooks

Statistical Modeling

Machine Learning

MMM

SQL

ETL Pipelines

AWS & MLOps

Git & CI/CD

Communication

Education

B.Tech/B.E. in CS

BCA/MCA with strong technical experience

Tools

PostgreSQL

Cloud-hosted databases

ETL tools

AWS SageMaker

EC2

S3

Lambda

Azure Functions

Job description

Ekloud Data Labs is seeking a hands-on Data Scientist to design, deploy, and scale Marketing Mix Models and related ML solutions on AWS. You will own end-to-end modeling, forecasting, and budget optimization, with emphasis on MMM and ROI attribution.

Strong Python, SQL, and MLOps skills are required, plus collaboration with marketing, product, and engineering to translate insights into business actions. Ideal candidates have deep modeling fundamentals, experience in Martech/AdTech, and a proven