Senior Data Scientist

EchoStar • Centennial, CO

20h

About The Position

The Senior Data Scientist quantifies multi-channel marketing performance and establishes causal return on investment across complex digital touchpoints. The role addresses fragmented cross-platform marketing data by building reliable lakehouse ingestion pipelines that support advanced predictive models. It connects statistical methodologies with executive budget decisions, helping leadership optimize media spend and reducing manual reporting through generative AI automation.

The position designs and deploys marketing mix, forecasting, and customer lifetime value models; develops incrementality testing frameworks; builds data pipelines into Databricks Delta Lake; integrates LLM-powered analysis agents; and translates findings into Tableau dashboards and self-service analytics. The role is part of EchoStar's Video Services team, which supports DISH TV and Sling TV products.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• At least 5 years of data science and advanced analytics experience, specifically in marketing, media measurement, or AdTech.
• At least 5 years of experience with Python, including pandas and scikit-learn, and complex SQL querying.
• At least 5 years of experience with the Databricks Lakehouse Platform, including Delta Lake, PySpark, and MLflow.
• At least 5 years of experience with Marketing Mix Modeling (MMM), incrementality testing, and time-series forecasting.
• At least 5 years of experience with Tableau dashboard design and business intelligence reporting.
• Mastery of causal inference, advanced econometrics, incrementality testing, and statistical media optimization in marketing or AdTech.
• Advanced expertise in Python data science ecosystems and enterprise SQL for querying, modeling, and structuring large, multi-source datasets.
• Deep proficiency with Databricks Lakehouse, PySpark, Delta Lake architecture, MLflow, and cloud API integrations.
• Ability to translate technical data science findings into executive business strategy and encourage self-service analytics adoption.
• Willingness to participate in at least one in-person interview.
• Successful completion of a pre-employment screen, which may include a drug test and DMV check.

Nice To Haves

• Experience with modern LLM and agentic frameworks such as LangChain or Databricks MosaicML to design automated analytics agents.

Responsibilities

• Design, build, and deploy production-grade Marketing Mix Modeling (MMM), time-series forecasting, and Customer Lifetime Value (CLV) models to guide executive budget allocation.
• Architect and execute incrementality frameworks, including matched-market and geo-holdout tests, to isolate causal marketing ROI across investment channels.
• Build end-to-end data ingestion pipelines from external vendor APIs into Databricks Delta Lake and establish a structured source of truth for measurement data.
• Integrate generative AI analysis agents using large language models to automate anomaly detection, routine marketing reporting, and performance diagnostics.
• Translate statistical outputs into automated Tableau dashboards.
• Train marketing and analytics stakeholders in self-service Databricks SQL.
• Foster adoption of self-service visualization platforms across cross-functional teams.

Benefits

• Flexible spending accounts
• HSA
• 401(k) plan with company match
• Employee stock purchase plan
• Career opportunities
• Flexible time away plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior