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# Senior Data Scientist

- **Company:** ECHOSTAR
- **Location:** Englewood, CO, United States
- **Experience:** Expert
- **Salary:** $96,250.0 - $137,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Database Queries, Python (Programming Language), Cloud Services, SQL Databases, Tableau (Software), Technical Data Management Systems, Large Language Models, Pandas, Data Lakes, Pyspark, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/EB7AB3C0D2CD4E42BFE48959973DD05A/job/

## About the Role

* Mastery in causal inference, advanced econometrics, incrementality testing, and statistical media optimization within marketing or AdTech domains
 * Advanced expertise in Python data science ecosystems and enterprise SQL for querying, modeling, and structuring massive, multi-source datasets
 * Deep proficiency across the Databricks Lakehouse Platform, including PySpark, Delta Lake architecture, MLflow, and cloud API integrations
 * AI application capabilities leveraging modern LLM and agentic frameworks, such as LangChain or Databricks MosaicML, to design automated analytics agents
 * Proven ability to translate highly technical data science findings into executive business strategy; foster adoption of self-service visualization platforms like Tableau across cross-functional teams

Candidates must be willing to participate in at least one in-person interview., * Minimum Education: Bachelor's Degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field

 * Minimum Experience: 5+ years of experience in data science and advanced analytics, specifically within marketing, media measurement, or AdTech environments
 * Required Technical Skills: Must have at least 5+ years of experience with:
 * Python (pandas, scikit-learn) and complex SQL querying
 * Databricks Lakehouse Platform (Delta Lake, PySpark, MLflow)
 * Marketing Mix Modeling (MMM), incrementality testing, and time-series forecasting
 * Tableau dashboard design and business intelligence reporting

## Description

* Design, build, and deploy production-grade Marketing Mix Modeling (MMM), time-series forecasting, and Customer Lifetime Value (CLV) models to directly guide executive budget allocation
 * Architect and execute rigorous incrementality frameworks, including matched-market and geo-holdout tests, to isolate true causal marketing ROI across all investment channels
 * Construct robust end-to-end data ingestion pipelines from external vendor APIs into Databricks Delta Lake architectures; establish a structured, single source of truth for all measurement data
 * Pioneer and integrate GenAI analysis agents utilizing Large Language Models to automate anomaly detection, streamline routine marketing reporting, and provide instant performance diagnostics
 * Translate complex statistical outputs into automated Tableau dashboards; train marketing and analytics stakeholders on self-service Databricks SQL to drive data-informed decision-making