DISH Network Technologies India Pvt. Ltd is a technology subsidiary of EchoStar. Our organization is at the forefront of technology, serving as a disruptive force and driving innovation and value on behalf of our customers.
Our product portfolio includes Boost Mobile (consumer wireless), DISH TV (direct broadcast satellite), Sling TV (over-the-top service provider), Hughes (global satellite connectivity solutions) and Hughesnet (satellite internet).
Our facilities in India are some of EchoStar's largest development centers outside the U.S. As a hub for technological convergence, our engineering talent is a catalyst for innovation in multimedia network and communications development.
EchoStar does not charge any fees to job applicants or candidates at any point during the recruitment and hiring process. We strongly advise all individuals to be vigilant and disregard any unsolicited requests for payment or personal financial information related to an EchoStar employment opportunity.
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 people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
The Data Product & Monetization team
This team focuses on delivering AI and data-driven products that drive business value and monetization. The team works on high-impact initiatives involving machine learning, data science, and Generative AI, supporting enterprise-wide use cases.
Key Responsibilities
Design and implement advanced data science solutions using classical ML, statistical modeling, and Generative AI.
Build scalable data pipelines for preprocessing, feature engineering, and model training.
Conduct exploratory data analysis (EDA) to identify patterns and guide solution development.
Mentor junior data scientists and lead technical workstreams.
Collaborate with cross-functional teams to translate business challenges into AI/ML solutions.
Skills, Experience and Requirements
Educational Requirements
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related quantitative field
Skills and Qualifications
3+ years of experience in data science with a focus on classical machine learning and model deployment.
1+ years of hands-on experience with Generative AI (e.g., AWS Bedrock, Hugging Face, NLP techniques).
Proficiency in Python for data manipulation, modeling, and evaluation.
Experience with cloud-based ML workflows (AWS, GCP, or Azure) and version control tools like Git.
Strong communication and leadership skills with prior mentoring experience.
Benefits
- Insurance and Wellbeing
- Financial & Retiral Benefit Program
- Mental Wellbeing
- Employee Stock Purchase Program (ESPP)
- Professional Development Reimbursement
- Time Off
- Team Outings
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.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
