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G R Jobs in Washington, DC (NOW HIRING)

Familiarity with statistical software or programming languages (e.g., R, Python, SPSS, etc.), and data visualization tools (e.g., Tableau, Power BI, etc.) * Excellent written and verbal communication ...

Python), and/or statistical/mathematical software (e.g. R) Preferred Qualifications: * Master's or Ph.D. Degree in a quantitative field * Demonstrated ability to integrate AI tools to optimize ...

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

Ability to build models using open-source software (e.g. R, Python), experience in distributed statistical computing preferred. * Strong experience extracting, cleaning, modeling, and visualizing ...

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel ...

Store Manager

Sterling, VA · On-site

$70K - $75K/yr

... providing G.R.E.A.T Customer service. The Assistant Manager will challenge and inspire the team to achieve increased profitability and sales and maintain a standard of service excellence.

Sr. Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Familiar with programming languages used for data analytics (e.g., R, SAS, Stata, etc.) * Familiar with data pipeline and orchestration tools (e.g., Databricks, Apache Airflow, AWS, Glue, Informatica ...

Sr. Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Familiar with programming languages used for data analytics (e.g., R, SAS, Stata, etc.) * Familiar with data pipeline and orchestration tools (e.g., Databricks, Apache Airflow, AWS, Glue, Informatica ...

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G R information

See Washington, DC salary details

$17

$26

$41

How much do g r jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for g r in Washington, DC is $26.54, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $28.85 per hour, depending on experience, location, and employer.

What are G R?

G R typically refers to 'Guest Relations' professionals, who are responsible for ensuring guests have a positive experience in hospitality settings such as hotels, resorts, and event venues. Their duties include greeting guests, handling complaints or special requests, providing information, and coordinating with other departments to meet guest needs. Guest Relations staff play a key role in maintaining customer satisfaction and building loyalty by addressing concerns promptly and professionally. The position often requires excellent communication skills, patience, and the ability to multitask in a fast-paced environment.

What are some common challenges faced by G R professionals in their day-to-day work?

G R professionals often encounter challenges such as managing multiple stakeholder expectations, keeping up with evolving industry regulations, and ensuring effective communication across departments. Balancing deadlines while maintaining high-quality results can be demanding, especially in fast-paced environments. Additionally, adapting to new technologies and continuous learning are essential for success in this role.

What are the key skills and qualifications needed to thrive as a General Recruiter, and why are they important?

To thrive as a General Recruiter, you need a solid understanding of talent acquisition processes, candidate evaluation, and often a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), HRIS platforms, and sourcing tools like LinkedIn Recruiter is typically required. Exceptional interpersonal, organizational, and negotiation skills help recruiters build strong relationships with both candidates and hiring managers. These abilities are crucial for efficiently matching top talent to organizational needs, ensuring a positive hiring experience, and supporting overall business growth.

What is the difference between G R vs Customer Service Representative?

AspectG RCustomer Service Representative
Required credentialsHigh school diploma or equivalent; some roles may require technical certificationsHigh school diploma or equivalent; customer service training often preferred
Work environmentCall centers, retail, or service industriesCall centers, retail stores, or corporate offices
Employer and industry usageRetail, telecommunications, hospitalityRetail, telecommunications, banking, and service sectors
Common search and comparison intentUnderstanding job roles, requirements, and career pathsCustomer interaction, problem-solving, and communication skills

G R and Customer Service Representative roles often share similar work environments and industry usage. While G R may focus more on specific technical or operational tasks, both roles require strong communication skills and customer interaction. The main difference lies in the specific job functions and certifications needed, with G R roles often involving more technical knowledge depending on the industry.

Infographic showing various G R job openings in Washington, DC as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $55,212 per year, or $26.5 per hour.
Data Scientist, Analytics (Technical Leadership)

Data Scientist, Analytics (Technical Leadership)

Meta

Washington, DC

$210K/yr

Full-time

Posted 22 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 188 rated software companies


Job description

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Analytics (Technical Leadership) Responsibilities:
  • Work with complex data sets to solve challenging problems using analytical and statistical approaches
  • Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  • Identify and measure success through goal setting, forecasting, and monitoring key metrics
  • Partner with cross-functional teams to inform and execute product strategy and investment decisions
  • Build long-term vision and strategy for programs and products
  • Collaborate with executives to define and develop data platforms and instrumentation
  • Effectively communicate insights and recommendations to stakeholders
  • Define success metrics, forecast changes, and set team goals
  • Support developing roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  • 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:
  • 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  • Masters or Ph.D. Degree in a quantitative field
  • Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  • 10+ years of experience doing complex quantitative analysis in product analytics
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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