Senior Data Scientist, AI Analytics

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

Benefits offered by this job

Health benefits

401(k) plan with company match

Employee stock purchase plan

Flexible time away

Job summary

EchoStar is seeking a Senior Data Scientist, AI Analytics to develop predictive modeling and generative AI frameworks across business domains. You will translate complex datasets into resilient ML pipelines that improve customer lifetime value and retention, while standardizing reproducibility and monitoring drift in production.

You will collaborate with engineering and operations to deliver dashboards and actionable insights, driving automated compliance workflows and operational efficiency at

Qualifications

• Minimum Education: Bachelor’s Degree in Statistics, ML, CS, Engineering, Math, Physics, or related field.
• Minimum Experience: 4 years in data science and applied ML.
• Technical Skills: 4+ years Python/Scala/SQL; Scikit-learn, TensorFlow, PyTorch; AWS/Databricks/Snowflake; NLP/generative AI workflows.

Responsibilities

• Partner with leaders to set ML roadmaps aligned with OKRs and product goals.
• Design, deploy, and maintain scalable production ML systems for segmentation, churn, and LTV.
• Scale generative AI initiatives with robust LLM-assisted workflows for transcripts and real-time compliance auditing.
• Establish automated data science pipelines across enterprise cloud infrastructure for reproducibility and continuous delivery.
• Use AI tooling and monitoring to optimize training, latency, and deployment cycles.
• Translate model outputs into dashboards and actionable guidance for business units.

Skills

Predictive modeling

Prompt engineering

Python

Scala

SQL

ML frameworks

Cloud platforms

A/B testing / causal inference

Education

Bachelor's degree (quantitative field)

Tools

Databricks

Snowflake

AWS

Job description

The Senior Data Scientist, AI Analytics develops predictive modeling and generative AI frameworks to solve operational inefficiencies across business domains. This role executes the translation of complex datasets into resilient production machine learning pipelines and algorithmic solutions that enhance customer lifetime value and retention. Key challenges center on standardizing model reproducibility, monitoring algorithmic drift across production environments, and supporting automated compliance workflows. Success requires applying statistical theory to inform business decisions, delivering operational efficiency, and driving continuous technological innovation.

What Success Looks Like (Objectives):

• Partner with operational and engineering leaders to establish machine learning roadmaps that align with enterprise OKRs and product objectives
• Design, deploy, and maintain scalable production machine learning systems for customer segmentation, predictive churn mitigation, and lifetime value optimization
• Implement and scale generative AI initiatives by engineering robust LLM-assisted workflows for automated multi-channel transcript analysis and real-time compliance auditing
• Establish automated data science pipelines across enterprise cloud infrastructures to support model reproducibility, auditability, and continuous delivery
• Leverage AI developer tooling and automated monitoring frameworks to optimize model training efficiency, track pipeline latency, and streamline deployment cycles
• Translate complex model outputs into analytical dashboards and actionable recommendations that inform operational decisions across core business units

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

• Proven capability in designing, deploying, and maintaining production-grade predictive machine learning models, including classification, regression, and time-series forecasting
• Applied AI proficiency in prompt engineering, model validation, and deployment of large language models within production environments
• Strong technical capabilities in Python, Scala, and SQL, coupled with hands‑on proficiency in machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
• Ability to design and optimize distributed data science pipelines within enterprise cloud platforms such as AWS, Databricks, or Snowflake
• Deep expertise in experimental design, causal inference, and rigorous A/B testing methodologies to validate algorithmic impact against critical business metrics
• Collaborative problem‑solving and communication skills to convey statistical findings and technical roadmaps to cross‑functional stakeholders and leadership

Candidates must be willing to participate in at least one in-person interview.

Minimum Requirements:

• Minimum Education: Bachelor’s Degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field
• Minimum Experience: 4 years of experience in data science and applied machine learning
• Required Technical Skills: Must have at least 4 years of experience with:
• Python, Scala, and SQL
• Machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch
• Cloud-based AI and data platforms such as AWS, Databricks, or Snowflake
• Unstructured data processing for natural language processing (NLP) or generative AI workflows

Visa sponsorship not available for this role

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Salary Range

Compensation: $96,250.00/Year - $137,500.00/Year

About Our Department

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.

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 [e-mail] 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 [e-mail].

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