MD-Germantown, United States
Full Time
2 years ago
Job description
EchoStar Corporation (NASDAQ: SATS) is a premier global provider of satellite communication solutions. Headquartered in Englewood, Colo., and conducting business around the globe, EchoStar is a pioneer in communications technologies through its Hughes Network Systems and EchoStar Satellite Services business segments. For more information, visit echostar.com. Follow @EchoStar on Twitter.
EchoStar has an exciting opportunity for a Sr Engineer - Data Science in our Hughes Network Systems division. This position will be located at our headquarters in Germantown, MD.
Responsibilities:
- Collaborate with cross-functional teams to design, build, and deploy cloud-based solutions and infrastructure on GCP.
- Create interactive, meaningful and insightful visualizations, to communicate findings and insights effectively to internal teams and other stakeholders.
- Responsible for extracting large quantities of data from On-premises systems, developing efficient ETL and data management processes, and building architectures for rapid ingestion and dissemination of key data.
- Design and implement complete and complex data modeling and analytics to measure the performances of Aero and telecommunication systems.
- Understanding the data security and privacy concerns when dealing with sensitive data in the Aero and Mobility sector.
- Build and maintain data pipelines. Monitor and troubleshoot production systems.
- Continuously improve infrastructure and processes to increase reliability, scalability, and security
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
- Apply the knowledge in statistics, AI/ML coding and development, cloud-based analytics platform to create an integrated data analytics platform for complex communications system.
- Collaborate with leaders and managers to determine and address data and reporting needs for various company projects.
Basic Requirements:
- Bachelor’s degree in data science, Computer Science, Engineering, Statistics, or related technical field.
- 5+ years of experience as an MLOPS Engineer
- 5 to 7 years of Data Analytics work which includes data modelling and data visualization.
- At least 2 years’ experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
- Understanding of the Aero and Mobility industries relevant technologies.
- Understanding of specific data sources and data types in this sector such as flight data, transport data and sensor data.
- Strong programming skills commonly used for data analysis and machine learning such as Go, R and Python
- Experience with GCP, IAM, DB, streaming, and build and deploy services.
- Experience in designing, implementing, and fine-tuning machine learning models for various applications (e.g., classification, regression, clustering, recommendation systems).
- Experience with machine learning techniques and algorithms (e.g., TensorFlow, sklearn, numpy, pytorch) and their applications.
- Experience with deep learning and neural networks is beneficial.
- Experience building data pipelines for batch and streaming applications.
- Experience designing applications for observability using metrics, monitoring, logging, and alarming.
- Strong understanding of machine learning algorithms, statistical modeling, and data manipulation techniques.
- Experience with data visualization tools and libraries such as Power BI & Tableau.
- Familiarity with big data technologies like Snowflake, Big query, or other distributed computing frameworks
- Knowledge of SQL and databases for data retrieval and manipulation.
- Strong problem-solving, analytical and troubleshooting skills.
- Excellent communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Experience presenting findings and insights to diverse audiences.
- Experience with Confluence, Jira, and Bitbucket
Will be eligible for discretionary bonus, with funding based on company performance.
#LI-EM1
EchoStar is committed to offering a comprehensive and competitive benefits package. Our programs are designed to provide you with the ability to customize your benefits to best meet the needs of you and your family. Our philosophy for these programs is to support and encourage healthy living and wellness. Our benefits package covers it all–from healthcare savings plans to education assistance and more!
Financial: 401(k) retirement savings plan with company match; employee stock purchase plan; profit-sharing; company-paid life insurance, AD&D and disability
Work-Life Balance: Paid Time Off (PTO), company-paid holidays, health and wellness events, exercise and sports facilities (locations may vary)
Employee Incentives: Tuition reimbursement, employee referral program, year round employee events and community programs, discounts on Dish Network and HughesNet
Health: Medical, Dental, Vision, Employee Assistance Program (EAP), Health Savings Account (HSA) with opportunities to earn employer contributions; Health Care, Dependent Care and Transportation Flexible Spending Accounts (FSA)
EchoStar and its Affiliated Companies are committed to hiring and retaining a diverse workforce. We are an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. U.S. Persons or those able to obtain and maintain U.S. government security clearances may be required for certain positions. EEO is the law.
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