Sr Engineer - Data Science

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.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.

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

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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. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. U.S. Citizenship is required for certain positions. EEO is the law.

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