Senior Data Analyst
College Park, Maryland, United States
Applications have closed
Riverside Technology, inc.
Improving lives and livelihoods by leveraging environmental intelligence to solve the world’s most challenging water, land, and climate-related problems.BACKGROUND
The NOAA Center for Satellite Applications and Research (STAR) is the science arm of the National Environmental Satellite, Data, and Information Service (NESDIS), which acquires and manages the nation’s environmental satellites. STAR scientists lead efforts to develop, test, validate, and refine the science algorithms needed to drive user-defined products. They also investigate both enhanced and new sensor technology for future NOAA satellite missions and conduct research to examine which products users will need to carry out NOAA's mission goals. STAR supports the calibration and validation of all data in NOAA's satellite operations and develops new methods for inter-calibrating data from NOAA polar and geostationary satellites with other satellites in the evolving international system. Additionally, STAR collaboratively develops efficient methods and technology to transfer new products from research to operations.
POSITION
Riverside is seeking a mid to senior-level Data Analyst to support NOAA STAR and work with atmospheric scientists on a variety of projects. The work will entail using knowledge and expertise to research and develop new and innovative uses of satellite data to help coordinate efforts between NESDIS/STAR and commercial, university, and/or private partners/companies. It includes investigating new techniques and new observing systems and evaluating their potential impact on products. It also includes developing product assessment tools, designing and developing scientific applications, code integration, porting, testing, and debugging, releasing and maintaining code, and documenting software applications in both standard and High-Performance Computing (HPC) environments. This position can be remote though all candidates must be located within the United States.
Requirements
EDUCATION / EXPERIENCE
- Minimum Bachelor’s Degree in Computer Science, Information Systems, Software Engineering or remote sensing-related scientific field to include Atmospheric Sciences, Oceanography, Physics or similar; Master’s Degree is desirable.
- Minimum 10-12 years’ experience in development/engineering/data analysis.
- Strong Coding Computer Skills in Python.
- Knowledge of Satellite Data Assimilation, Numerical Weather Prediction, Radiative Transfer, Retrieval Algorithms
- Operating Systems: Linux, High Performance Computing Platforms
- Experience applying advanced numerical methods, artificial intelligence, machine learning (AI/ML), and neural networks to large datasets using software libraries such as Keras, TensorFlow, and/or PyTorch.
- Experience performing data analysis on large environmental datasets and with scientific code(s).
- Ability to perform independent assessments of proposed concepts.
- Ability to contribute to/produce scientific reports and presentations.
- Ability to effectively communicate technical information and work status accurately and reliably to project leads and managers.
- U.S. citizenship required. Must be able to obtain and maintain a national agency check and background investigation post-hire.
Benefits
Riverside offers a comprehensive benefits package that includes:
- Attractive medical, dental, and vision insurance coverage that begins on date of hire
- Company paid short-term disability, long-term disability, and group life insurance
- 401(k) with company match and immediate vesting
- Paid time off and paid holidays
- Flex/health spending accounts, pet insurance, and tuition reimbursement
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Engineering HPC Keras Linux Machine Learning Physics Python PyTorch Research TensorFlow Testing
Perks/benefits: 401(k) matching Career development Health care Insurance
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Databricks-related jobs