Sr Engineer

1 week ago

Germantown, United States EchoStar Full time

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.

  • Develop and deploy predictive models, recommendation models, time series etc., to provide future predictions for specified enterprise objectives.

  • Continuously seek out additional data points that can be leveraged to improve accuracy and applicability of the model’s results.

  • Work with large datasets using tools like SQL, Pandas, or similar frameworks.

  • Design and implement complete and complex data modeling and analytics to measure the performances of telecommunication systems.

  • 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, data analytics or a related field

  • 6+ years of experience as a Data Science Engineer

  • 6+ years' Advanced Data Analysis using statistical Modeling and Machine Learning along with data visualization.

  • 5+ years’ experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • Master's degree in data science, computer science, data analytics or a related field

  • Strong programming skills commonly used for data analysis and machine learning such as 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.

  • Experience designing applications for observability using metrics, monitoring, logging, and alarming.

  • 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.

  • 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 GIT, Confluence, Jira, and Bitbucket

  • Strong understanding of machine learning algorithms, statistical modeling, and data manipulation techniques.

  • Strong problem-solving, analytical and troubleshooting skills.

Will be eligible for discretionary bonus, with funding based on company performance.

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