Job#: 3056827 Job Description: Data Scientist, Meteorological Analytics
Location: Fully RemotePosition Overview
We are seeking a Data Scientist with experience working with large-scale meteorological and geospatial datasets. This role will focus on transforming complex weather data into reliable, scalable analytical products and visualizations that support operational and business decision-making.
The ideal candidate combines strong data analytics and programming skills with an understanding of meteorological data, cloud-based processing, and data visualization. This individual should be comfortable working independently while partnering closely with data engineers and subject matter experts.
Key Responsibilities
- Analyze and process large, complex meteorological datasets, including numerical weather prediction output, satellite imagery, and weather station data.
- Develop and optimize scalable data processing workflows with a focus on processing time, memory usage, and overall performance.
- Create clear and effective visualizations that translate complex meteorological information for both technical and non-technical audiences.
- Troubleshoot data quality, ingestion, pipeline, and processing issues.
- Build and maintain reusable, well-documented SQL queries and analytical datasets.
- Work with meteorological variables from traditional numerical weather prediction and AI-based models to identify relationships relevant to operational use cases.
- Optimize processing and visualization of large raster and geospatial datasets using techniques such as spatial indexing, binning, downsampling, and efficient memory management.
- Collaborate with data engineers and internal subject matter experts to move analytical products from development into production.
- Translate business questions into reliable and efficient analytical solutions while maintaining a strong focus on data accuracy and quality.
Required Qualifications
- 3-5 years of professional experience in data analytics or data science using meteorological data sources.
- Experience working with large, complex datasets in cloud-based environments.
- Demonstrated experience moving a product or analytical solution from development into operations.
- Experience troubleshooting data quality, pipeline, and ingestion issues.
- Strong SQL skills, including joins, CTEs, window functions, and query performance optimization.
- Experience processing large datasets efficiently and optimizing for memory and performance.
- Strong understanding of how data structure impacts visualization performance and usability.
- Experience communicating technical findings and data issues clearly to technical and non-technical audiences.
- Strong analytical, problem-solving, and organizational skills with the ability to prioritize work across multiple projects.
Preferred Qualifications
- Background in Atmospheric Science, Meteorology, Earth Science, or a related discipline.
- Experience using Python for data analysis and transformation.
- Experience with meteorological or raster data formats such as GRIB, GeoTIFF, NetCDF, and Zarr.
- Experience working with geospatial data and optimization techniques such as spatial indexing.
- Experience developing static visualizations with Python and/or interactive visualizations using JavaScript.
- Knowledge of statistical concepts including correlation, trend analysis, and least-squares fitting.
- Familiarity with multithreading and/or multiprocessing techniques for large-scale data processing.
- Experience using Git or a similar version-control platform.
- Understanding of data governance, lineage, and metadata management.
- Experience in utilities, energy, infrastructure, or another regulated industry.
- Familiarity with operational, asset, and time-series data, including experience working with imperfect operational source systems.
Professional Attributes
- Detail-oriented with a strong commitment to data accuracy and reliability.
- Able to work independently while collaborating effectively across technical and business teams.
- Skilled at translating complex data into actionable and understandable insights.
- Comfortable working in an environment with multiple priorities and evolving business needs.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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