The Role Design and deploy production-grade ML models and GenAI/LLM solutions to improve customer segmentation, churn prediction, LTV estimation, and automate enterprise workflows. Build cloud-native data science pipelines, measure impact via experiments, create executive dashboards, and mentor peers on MLOps and data storytelling. Summary Generated by Built In 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 #LI-JZ2

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 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 ) Read Full Description Skills Required Bachelor's Degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or related quantitative field 3+ years of experience in data science and applied machine learning Python Scala SQL Machine learning libraries (Scikit-learn, TensorFlow, or PyTorch) Cloud-based AI platforms (AWS, Databricks, or Snowflake) Experience with unstructured data processing for GenAI applications Experience delivering classification, regression, and time-series forecasting solutions Prompt engineering, model evaluation, and deployment of Large Language Models in production Familiarity with MLOps practices for monitoring and maintaining GenAI systems in production Ability to design and interpret A/B tests and controlled experiments Strong collaboration and data storytelling skills for communicating insights to non-technical audiences Willingness to participate in at least one in-person interview (may include whiteboarding/technical assessment) What the Team is Saying Lynea NE Regional Program Operations What we're building at DISH Wireless is extraordinary and will forever change the telecom industry. To be a part of history, and work alongside the most amazing and supportive people, is thrilling. There's endless opportunity to grow here. Lynea NE Regional Program Operations What we're building at DISH Wireless is extraordinary and will forever change the telecom industry. To be a part of history, and work alongside the most amazing and supportive people, is thrilling. There's endless opportunity to grow here. James Senior Manager, RF/OEM Engineering I am inspired to learn about the broad range of capabilities each of our experts brings to the table, from complex, high-frequency circuit design to the analysis and characterization of parabolic antennas. Ashante Instructional Designer Manufacturing is well known for being a male-dominated industry, but there are a lot of women leaders in manufacturing at DISH. It gives hope to women like me - who want to rise up within the ranks - that it is possible with hard work and dedication. Ali Experience Manager, DISH Grand Central At our DISH Grand Central location, we strive to uphold a strong culture! We have a Bureau of Serious fun that consists of a group of people who plan and host potlucks, trivia challenges, and a variety of monthly events. We even started a walking club that takes place on Friday afternoon during the lunch hour! Whitney Recruiting Operations Manager Throughout my 7 years with DISH, I have taken advantage of DISH's #1 benefit: Opportunity. Starting my career in Indirect Sales and then transitioning into HR Recruiting has led me to my passion for Recruitment Operations where I continue to grow my expertise and make a difference in people's lives. William Senior IT Manager One exciting new project we are working on is the blockchain initiative that we are building. We are moving way beyond just cryptocurrency. The blockchain capabilities we are building will create entirely new business models and services that enable fast, on-the-fly, secure, and verifiable access to our spectrum. Seth SVP, Sling Product and Operations We promote an empowered team product structure, meaning we don't give our team a product to build. We give them a problem to solve. How they choose to solve that problem is derived from discovery, talking to customers, and understanding how to build a solution that will work for the customer. It's not about pushing out feature after feature. Mac VP, Head of Network Engineering At DISH, we are building something that has never been built before, to be part of history and change the way humans and things connect. I wanted to lead teams that push themselves and each other to be better every day. DISH is going to change communications, not just for subscribers but for businesses across the nation. Kara Rector Head of Retail Wireless Technology Product and Programs You have to approach AI with curiosity. Change is scary but remain curious on how you can adapt what you do every day and how to use AI to be more efficient, effective, and strategic. If you lack curiosity, you'll get left behind. Dmitry Dimov Director of AI and Data Science Startups have the latest tools but no customers. Big companies have customer data but move slow. We have the best cloud and AI platforms, real customer data at scale, and the velocity to actually build. That combination is rare. Christina Jalaly Head of Enterprise Data and AI Governance We solve complex, high-stakes governance and strategy puzzles alongside brilliant colleagues who genuinely care about doing it right. Here, you're setting the standard for how we operate in an agentic future. John Bruschi Senior Manager, Digital Product Design and UX On our AI Product & UX team, we believe good AI comes from good teams, not just good models. We build AI solutions that make work easier and save money at scale across the whole company, and it's work we're proud to do. Kendra Pannell Manager, AI Data Governance Enablement and Change We're teaching our organization how to lead the future of work. Our augmentative resources and active engagement from all levels and teams drive the cultural evolution and training needed for AI adoption. Venkat Mallem Head of Data Engineering, Data Platforms & Insights Our culture thrives on collaborative teamwork to solve complex problems and create innovative solutions. If you want a role where your ideas are truly valued, check out our open positions today! Eben Albertyn EVP, Chief Technology and Information Officer EchoStar is changing the way the world communicates. We challenge the status quo, combining terrestrial technologies and satellite technologies in ways that have not been done before. More than just an employer in Colorado, we are a mentor, collaborating with major universities and bringing together the best minds across all disciplines to lead in the US and in the rest of the world. Rob Conn Vice President of Cyber Defense Operations One of my critical goals is being able to understand what my team members and extended team want in their careers, what their challenges are, and what I can do to help them achieve their goals. My philosophy is that if I feel like I've had a part in helping someone grow, that's a win for me. Russell Black Senior Manager, People Operations I grew up here at EchoStar. I am a better person today than when I started, and I credit much of that to the leaders who coached and developed me. Shawn McGary IHS Operations Manager I have experienced nothing but open doors of opportunity at EchoStar. There are so many departments and niches that you're bound to find something that you love and something that can make work enjoyable for you. Katie Flynn VP of Marketing, Boost Mobile We are primarily in person, which fosters natural collaboration. Cross-pollination happens when you run into people in the hallway or grab lunch together. We have a diverse and aligned team because we hire for culture with a focus on curiosity, pride, adventure and winning. EchoStar Compensation & Benefits Highlights Retirement Support — Retirement offerings include a 401(k) with company match and discretionary profit sharing that are prominently featured. Feedback suggests the 401(k) is regarded as standard-to-reasonable, adding tangible long‑term value. Equity Value & Accessibility — An Employee Stock Purchase Program with a 15% discount is widely available and emphasized. Feedback suggests this ownership opportunity is a notable perk within the total rewards mix. Wellbeing & Lifestyle Benefits — A broad slate of perks—tuition reimbursement up to $5,000/year, product discounts, HSA/FSA options with company HSA contributions, and counseling sessions—expands the package beyond core insurance. Feedback suggests the breadth is appealing even if individual benefits vary in impact. Learn more about EchoStar's Compensation & Benefits → EchoStar Insights What's It Like to Work at EchoStar? EchoStar Culture & Values EchoStar Career Growth & Development What's the Work-Life Balance Like at EchoStar? EchoStar Leadership & Management EchoStar Company Growth, Stability & Outlook View all jobs at EchoStar View EchoStar Profile Report Job