Data Analyst

Analytical-Mechanics-Associates,-Inc.-; Hampton (VA); Remote; USD 44,000 - 50,000; Part time

Benefits offered by this job

Paid holidays

401(k) with matching

Tuition reimbursement

Short/long-term disability

Medical, dental, and vision insurance

Job summary

Analytical Mechanics Associates (AMA) seeks two data analysts to support NASA’s Earth Action Program, focusing on scientific data analysis and trusted data products for wildland fire management. This remote, part-time role supports the Earth Action Program under the RSES contract and involves turning NASA L0 data into L2/L3 products and developing data pipelines.

The ideal candidate has a BS in a relevant field, experience with PM2.5 sensors, GIS, Python, and collaboration across

Qualifications

• BS with current graduate studies in earth system science, environmental science, meteorology or related fields.
• Experience with PM2.5 sensors, assembly, installation and data retrieval.
• Proficiency in air quality data analysis and integrating ground networks with satellite data.

Responsibilities

• Evaluate published papers and identify key science questions related to NASA Wildland Fires Program and FireSense Project.
• Support data evaluation and analysis to address program and project science goals.
• Convert NASA L0 data into L2/L3 data products and assess instrument limitations and uncertainties.
• Contribute to data quality control and propagate uncertainties in products.
• Support collection and organization of field data and development of data pipelines and algorithms for NASA facility instrumentation.

Skills

Data analysis

Multidisciplinary collaboration

Time management

Verbal and written communication

Education

BS in earth system science or related field

Tools

Python

Igor Pro

GIS

Job description

Job Description:AMA seeks to hire two data analysts to support NASA’s Earth Action Program, which leverages Earth science data to address critical societal challenges and enhance decision making across sectors such as health, air quality, and disaster response. Theses positions provide scientific and data analysis support to the Wildland Fires Program and FireSense Project, ensuring effective data analysis, sound scientific reasoning, and trusted data products to advance science-based solutions for wildland fire management and resilience. These opportunities are part-time, remote positions supporting the Earth Action Program as part of the Research, Science, and Engineering Services (RSES) contract. Pay range is $32/hr.-$36/hr.Key Responsibilities:Evaluating published scientific papers and identify cutting-edge research and key science questions related to NASA Wildland Fires Program and FireSense Project.Supporting data evaluation and analysis to ensure program and project science goals are addressed.Converting NASA collected L0 data into L2 or L3 data products from various sensors.Understanding and incorporating instrument limitations and assumptions in data analysis.Identifying and implementing necessary corrections to data quality control and propagating uncertainties throughout produced products.Supporting collection and organization of field data across the portfolioSupporting development and dissemination of data pipelines and algorithms for NASA facility instrumentation.Required Qualifications:BS with current graduate studies in earth system science, environmental science, meteorology or related fields.Involvement with NASA Science Activation and NASA GLOBE programs.Experience with PM2.5 small sensors, including building, intercomparing, installation and maintenance, data retrieval, formatting and analysis.Proficiency with air quality data analysis and integration of ground networks and satellite data.Working knowledge of FireSense field campaigns airborne and ground data.Experience collaborating with multidisciplinary teams.Data analysis of spatiotemporal datasets using GIS software.Required Skills:Accountability and self-discipline to work in a virtual environment.Ability to collaborate across multidisciplinary teams at varying levels.Strong time management, organizational, written, and verbal skills.Proficiency with scientific software, including Igor Pro, Python, and GIS.Experience with FireSense campaign data, such as MASTER, AVIRIS, and sounding and ground data.Proficiency with instrumentation and tools used by the NASA FireSense program, including air quality small sensors, Graw radiosondes, and hyperspectral imagers.Ability to ingest, process, and analyze spectral data.Ability to work with large datasets in multiple formats and across multiple platformsEnhancing Qualifications: Experience with prescribed fires, including different ignition techniques and ecosystem impacts. Wildland Firefighter 2 certifications or beyond.Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. .AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.