1

Social Performance Mining Jobs in Virginia (NOW HIRING)

Analytic Methodologist, Mid

Mclean, VA · On-site

$77K - $176K/yr

... data mining, decision analysis or modeling and simulation. * 3+ years of experience with ... Experience conducting quantitative social science, including survey design and analysis or field or ...

Marketing Manager

Richmond, VA · On-site

$75K - $120K/yr

... mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with ... Performance. It is these three success factors that make KSB the company it is today. At KSB, we ...

Senior Data Analyst

Arlington, VA · On-site

$95K - $108K/yr

... performance. The ideal candidate is adept at using large data sets to find opportunities to ... Strong experience using a variety of data mining/data analysis methods, using a variety of data ...

Data Scientist I

Alexandria, VA · On-site

$90 - $110/hr

Conducts data analytics, data manipulation, data mining, exploratory analysis, predictive analysis ... Bachelor's degree in quantitative science, social science, or a related discipline. * Basic ...

Marketing Manager

Richmond, VA · On-site

$75K - $120K/yr

... mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with ... Performance. It is these three success factors that make KSB the company it is today. At KSB, we ...

Marketing Manager

Richmond, VA · On-site

$75K - $120K/yr

... mining. Founded in 1871 in Frankenthal, Germany, the company has a presence on all continents with ... Performance. It is these three success factors that make KSB the company it is today. At KSB, we ...

... and cost performance. We are seeking a Network Analyst to support counter-narcotics and ... Data mining and enrichment * Pattern analysis * Multimedia and visualization production Training ...

... and cost performance. We are seeking a Network Analyst to support counter-narcotics and ... Data mining and enrichment * Pattern analysis * Multimedia and visualization production Training ...

Showing results 21-40

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 Virginia? For Social Performance Mining jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Social Performance Mining jobs in Virginia look for? The top searched job categories for Social Performance Mining jobs in Virginia are:
What cities in Virginia are hiring for Social Performance Mining jobs? Cities in Virginia with the most Social Performance Mining job openings:

Senior Computer Scientist (QAF Accreditation) - OBIQUA with Security Clearance

CELESTAR CORPORATION

Reston, VA • On-site

Other

Medical, Dental, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Celestar Corporation is seeking a Senior Computer Scientist ( to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. ANTICIPATED AWARD: TBD ANTICIPATED START: TBD PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years LOCATION: DIA Facilities across the National Capital Region (NCR) CLEARANCE REQUIREMENT: Active TS/SCI About Us: Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Senior Computer Scientist (QAF Accreditation), Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources. * Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities. * Integrates or codes algorithms to support Government intelligence search and discovery missions. * Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. * Employs data science techniques to support predictive analysis, social media, and crowd-source data analytics, wargaming, and strategy development. * Employs exploratory analysis and rapid iteration techniques on large volumes of data to quickly derive intelligence. * Prepares products to describe and document findings and activities. * Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment * Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers * Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization * Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for AI system development, testing, and deployment * Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation. * Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development. * Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft-compliant language * Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft-compliant language * Review and edit translated documentation to ensure accuracy, completeness, and adherence to established trade craft standards. * Supports capability development by contributing, editing, and storing code in government-owned/controlled source version control repositories. Required qualifications/skills: • Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years with a master's degree. -OR- • A minimum of 17 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years with a bachelor's degree. • Must have at least 8 years of experience in AI implementation, advanced degree in computer science, data science, or related field. • Must have expertise in AI algorithms, model development, TEVV, and operationalization. • Demonstrates ability to work independently and with minimal oversight. • Active TS/SCI Clearance within the past 5 years. Come on board with a company that Values its Employees! Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.