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Social Performance Mining Jobs in Washington (NOW HIRING)

Castellum, Inc.

Senior Data Scientist

Washington, DC · On-site

$155K - $165K/yr

GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc ... performance of duties or be of a safety concern. PHYSICAL DEMANDS: The physical demands described ...

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

... performance against human-generated annotations for both speech and text. Your contributions will ... social, or life) may be considered if it included a concentration of coursework (5 or more courses ...

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Social Performance Mining information

What is the difference between Social Performance Mining vs Social Media Analyst?

AspectSocial Performance MiningSocial Media Analyst
Primary FocusAnalyzing social data to assess brand performance and social impactMonitoring and analyzing social media content and engagement
Skills & CredentialsData analysis, social metrics, analytics tools, possibly certifications in data or social analyticsSocial media platforms, content creation, analytics tools, marketing knowledge
Work EnvironmentData-driven, research-focused, often in marketing or analytics teamsContent monitoring, engagement analysis, often in marketing or PR teams

Social Performance Mining and Social Media Analysts both work within social media and marketing fields, but Social Performance Mining emphasizes data analysis and measuring social impact, while Social Media Analysts focus on content and engagement monitoring. Understanding these differences helps in choosing the right career path or job focus.

What is social performance mining?

Social performance mining refers to the process of evaluating and managing the social impacts of mining activities on local communities and stakeholders. This includes assessing factors such as community well-being, human rights, labor conditions, and the effects of mining operations on local societies. Professionals in this field collect and analyze data, engage with communities, and help mining companies develop strategies to improve their positive social contributions while minimizing negative impacts. Social performance mining is essential for ensuring ethical practices, regulatory compliance, and building trust with stakeholders.

What are some common challenges faced by professionals working in social performance mining, and how can these be managed effectively?

Professionals in Social Performance Mining often navigate challenges such as building trust with local communities, managing stakeholder expectations, and ensuring compliance with regulatory standards. Balancing corporate objectives with social responsibility requires strong communication skills and cultural sensitivity. Effective management includes regular community engagement, transparent reporting, and close collaboration with environmental and technical teams to address concerns promptly and ethically.

What are the key skills and qualifications needed to thrive as a social performance mining professional?

To thrive as a Social Performance Mining professional, you need expertise in stakeholder engagement, social impact assessment, and a background in social sciences or related fields. Familiarity with tools like social risk management software, geographic information systems (GIS), and international social performance standards (e.g., IFC Performance Standards) is common. Strong communication, cultural sensitivity, and conflict resolution skills help build trust and effectively manage community relations. These skills ensure mining operations are socially responsible, minimize risks, and maintain a positive license to operate.
What are popular job titles related to Social Performance Mining jobs in Washington? For Social Performance Mining jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Social Performance Mining jobs in Washington look for? The top searched job categories for Social Performance Mining jobs in Washington are:
What cities in Washington are hiring for Social Performance Mining jobs? Cities in Washington with the most Social Performance Mining job openings:
Social Performance Mining jobs near you
Infographic showing various Social Performance Mining job openings in Washington as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

Data Scientist with Security Clearance

Fuse Engineering LLC

Fort George G Meade, MD • On-site

Other

Re-posted 26 days ago

Job description

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text.  Requirements Clearance Required Top Secret SCI w/ Full Polygraph Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)   and/or computer science (e.g. algorithms, programming,   data structures, data mining, artificial intelligence).   College-level requirement, or upper-level math courses designated as elementary or basic do not count.  Must have some combination (2 or more) of the following skill areas:   Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.  

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