Senior Marketing Data Scientist — MMM, GenAI & Lakehouse

EchoStar Corporation; Englewood (CO); On-site; USD 96,000 - 138,000; Full time

Benefits offered by this job

Health perks

401(k) plan with company match

Employee stock purchase plan

Flexible time away

Job summary

EchoStar Corporation is seeking a Senior Data Scientist to quantify multi-channel marketing ROI and build reliable data lake pipelines powering predictive models. You will combine advanced statistics with executive budgeting decisions to optimize media spend and reduce manual reporting through GenAI automation.

Key responsibilities include delivering MMM, CLV, and time-series models, establishing causal tests across channels, and building end-to-end data ingestion with Databricks Delta Lake.

Qualifications

• Bachelor's degree in a quantitative field or related area.
• 5+ years in data science/advanced analytics focused on marketing, media measurement, or AdTech.
• 5+ years with Python (pandas, scikit-learn) and complex SQL querying.
• Experience with Databricks Lakehouse Platform (Delta Lake, PySpark, MLflow).
• Knowledge of MMM, incrementality testing, and time-series forecasting.

Responsibilities

• Design, build, and deploy MMM, time-series forecasting, and CLV models to guide budget allocation.
• Architect incrementality frameworks and geo-holdout tests to isolate true ROI across channels.
• Create end-to-end data pipelines into Databricks Delta Lake for a single source of truth.
• Pioneer GenAI analysis agents to automate anomaly detection and reporting.
• Translate statistical results into automated Tableau dashboards; enable self-service analytics.

Skills

Causal inference

Python & SQL

Databricks Lakehouse

GenAI / LLM

Executive communication

Education

Bachelor's degree in a quantitative field

Tools

Databricks Lakehouse

Tableau

LangChain

MosaicML

Job description

EchoStar Corporation is seeking a Senior Data Scientist to quantify multi-channel marketing ROI and build reliable data lake pipelines powering predictive models. You will combine advanced statistics with executive budgeting decisions to optimize media spend and reduce manual reporting through GenAI automation.

Key responsibilities include delivering MMM, CLV, and time-series models, establishing causal tests across channels, and building end-to-end data ingestion with Databricks Delta Lake.