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Senior Data Scientist - MMM

Pay
$96,250–137,500/year — pay source
Salary Range Compensation: $96,250.00/Year - $137,500.00/Year About Our Department Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Design and deploy marketing mix, time-series forecasting and customer lifetime value models

  • Run matched-market and geo-holdout tests to measure true causal marketing ROI

  • Build data ingestion pipelines from vendor APIs into Databricks Delta Lake

  • Build LLM-based agents to automate anomaly detection and routine reporting

  • Turn model outputs into Tableau dashboards and train stakeholders on Databricks SQL

From the employer’s posting
Design, build, and deploy production-grade Marketing Mix Modeling (MMM), time-series forecasting, and Customer Lifetime Value (CLV) models
Architect and execute rigorous incrementality frameworks, including matched-market and geo-holdout tests
Construct robust end-to-end data ingestion pipelines from external vendor APIs into Databricks Delta Lake architectures
Pioneer and integrate GenAI analysis agents utilizing Large Language Models to automate anomaly detection, streamline routine marketing reporting
Translate complex statistical outputs into automated Tableau dashboards; train marketing and analytics stakeholders on self-service Databricks SQL

What you’ll bring

All qualifications

Core experience

  • Python (pandas, scikit-learn) and complex SQL querying
Qualification wording
Python (pandas, scikit-learn) and complex SQL querying
Education & alternatives
Minimum Requirements: - 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

Benefits in the posting

Full benefits wording
  • We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits
  • The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change.

From the employer’s posting.

About EchoStar

EchoStar is reimagining the future of connectivity.

In the employer’s words · Read in context

Apply at EchoStar

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 6, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$96.3K–$138K against $118K–$194K, the middle half of what similar US postings state.

From 3,761 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 7 and day 57.

At EchoStar, jobs usually come down by about day 44.

From 10,550 similar postings that came down, and 36 of EchoStar’s. Coming down is not always a hire.

EchoStar is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Delta Lake
  • MLflow
  • Tableau
  • pandas
  • PySpark
  • scikit-learn
Where the posting names them
- 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
- 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)
- 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 Core Skills, Competencies, and Key Experiences (What you’ll bring)
- 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
- 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
- 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
- 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
- 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.
- Marketing Mix Modeling (MMM), incrementality testing, and time-series forecasting - Tableau dashboard design and business intelligence reporting Salary Range

Your next step

Complete your application on attract-careers1-echostar.icims.com. The employer’s form will show what is required.

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About EchoStar

People
About 12,100 in 2025, down 12% from the year before.Annual report (SEC Form 10-K)
Company
Listed as SATS.

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

The Senior Data Scientist resolves the critical challenge of quantifying multi-channel marketing performance and establishing true causal return on investment across complex digital touchpoints. This role eliminates fragmentation in cross-platform marketing data by engineering reliable lakehouse ingestion pipelines to power advanced predictive models. By bridging the gap between sophisticated statistical methodologies and executive budget decisions, the position enables leadership to optimize media spend while eliminating manual reporting bottlenecks through generative AI automation.


What Success Looks Like (Objectives):

  • 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

Core Skills, Competencies, and Key Experiences (What you’ll bring)

  • 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 Requirements:

  • 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

Salary Range

Compensation: $96,250.00/Year - $137,500.00/Year
About Our Department

Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.


About Our Company

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.


Benefits

We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits

 

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change.

 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

 

This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.

 

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.

EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email Recruiting@Dish.com.

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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Pay
Salary Range Compensation: $96,250.00/Year - $137,500.00/Year About Our Department Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.
Location & working pattern

Englewood, Colorado

Working pattern and location restrictions need checking in the full posting.

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