Data Scientist, AI Analytics

· Remote

Location

Remote

Type

Full Time

Job Description

EchoStarJobs
Data Scientist AI Analytics

Data Scientist AI Analytics

Posted 5 Hours Ago
Be an Early Applicant
Denver CO USA
In-Office
101K-130K Annually
Mid level
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
Welcome to EchoStar
The Role
As a Data Scientist in AI Analytics you will develop machine learning models and AI solutions to enhance customer engagement and streamline operations translating data insights into actionable business strategies.
Summary Generated by Built In
Company Summary
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.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development technology innovation or solution engineering our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
Candidates must be willing to participate in at least one in-person interview which may include a live whiteboarding or technical assessment session.
As a Data Scientist in AI Analytics you will design sophisticated analytical frameworks and cutting-edge generative solutions that optimize the customer journey and streamline enterprise operations. By bridging the gap between complex data capabilities and tangible business value you identify transformative opportunities for innovation across the organization. This role requires working at the intersection of engineering and strategy to translate high-dimensional insights into actionable roadmaps while providing technical mentorship to peers.
What Success Looks Like (Objectives)
  • Partner with stakeholders to identify and execute high-impact AI opportunities that directly drive measurable business outcomes.
  • Deliver production-grade machine learning models for customer segmentation churn prediction and lifetime value estimation to enhance user engagement.
  • Design and deploy scalable GenAI and LLM solutions that automate complex enterprise workflows such as transcript analysis and compliance validation.
  • Build cloud-based data science pipelines on enterprise platforms to ensure the reliability and scalability of analytical products.
  • Translate complex findings into clear narratives and interactive dashboards that guide executive decision-making.
  • Foster technical growth across the team by mentoring peers in modern MLOps practices and data storytelling techniques.

Skills Experience and Requirements
Core Skills and Competencies (What you'll bring)
  • Critical experiences in applied machine learning including a track record of delivering high-impact classification regression and time-series forecasting solutions.
  • Advanced AI Application skills specifically regarding prompt engineering model evaluation and the deployment of Large Language Models within production environments.
  • Technical expertise in Python Scala and SQL alongside a deep understanding of modern ML libraries such as TensorFlow PyTorch or Scikit-learn.
  • Hands-on experience with cloud-native data platforms like AWS Databricks or Snowflake to manage large-scale data engineering and processing.
  • Strong collaboration and data storytelling skills that allow for the communication of high-dimensional insights to diverse non-technical audiences.
  • Analytical mastery in designing and interpreting A/B tests and controlled experiments to validate model performance and business hypotheses.

Additional Qualifications
  • Master's or PhD in Statistics Machine Learning Computer Science or a relevant quantitative domain.
  • Familiarity with MLOps practices for monitoring and maintaining GenAI systems in production.

Minimum Requirements
  • Minimum Education: Bachelor's Degree in Statistics Machine Learning Computer Science Engineering Mathematics Physics or a related quantitative field.
  • Minimum Experience: 3+ years of experience in data science and applied machine learning.
  • Required Technical Skills:
    • Python Scala and SQL.
    • Machine learning libraries (Scikit-learn TensorFlow or PyTorch).
    • Cloud-based AI platforms (AWS Databricks or Snowflake).
    • Unstructured data processing for GenAI applications.

Visa sponsorship not available for this role
Salary Ranges
Compensation: $100980.00/Year - $130000.00/Year
Benefits
We offer versatile health perks including flexible spending accounts HSA a 401(k) Plan with company match ESPP career opportunities and a flexible time away plan; all benefits can be viewed 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 based on work location.
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.
The posting will be active for a minimum of 3 days. The active posting 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 [email protected] 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.
Click the links to access the following statements: EEO Policy Statement Pay Transparency EEOC Know Your Rights ( English / Spanish )

Skills Required

  • Bachelor's Degree in Statistics Machine Learning Computer Science Engineering Mathematics Physics or a related quantitative field
  • 3+ years of experience in data science and applied machine learning
  • Technical expertise in Python Scala and SQL
  • Experience with machine learning libraries (Scikit-learn TensorFlow or PyTorch)
  • Experience with cloud-based AI platforms (AWS Databricks or Snowflake)
  • Experience in unstructured data processing for GenAI applications

EchoStar Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EchoStar and has not been reviewed or approved by EchoStar.

  • Retirement SupportA 401(k) with employer matching and discretionary profit sharing is highlighted as part of total rewards. Feedback suggests these programs add long‑term value beyond base pay.
  • Equity Value & AccessibilityAn employee stock purchase plan with a discounted share price is emphasized as broadly available. Feedback suggests this makes ownership more attainable for many employees.
  • Wellbeing & Lifestyle BenefitsEveryday service discounts and mental‑health support through counseling sessions are included. Feedback suggests these perks enhance day‑to‑day value and support wellbeing.

EchoStar Insights

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The Company
HQ: Englewood CO
14500 Employees
Year Founded: 1980

What We Do

Tune into the innovation collaboration and culture that our team members bring to the office every day. We want you to be a part of our journey to build the next generation of technology that transforms the way the world communicates. Our team members are the key to our history of groundbreaking innovation and our continued progress. If you bring an inquisitive curiosity a sense of pride in your work an openness to adventure and a drive to win we’ll provide the structure to take the next step in your career. This is more than just another job this is your launchpad to achieve your potential and a community dedicated to your growth.

Why Work With Us

At EchoStar we work to create opportunity and cultivate an environment where people thrive. Between our brands our partners our teams and our customers the opportunities are endless. Get started on your next career adventure with EchoStar!

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Date Posted

05/13/2026

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