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Remote Bsc Mathematical Statistics Jobs in Virginia

East Point Energy

Senior Power Market Analyst

Charlottesville, VA · On-site +1

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in dataor computerscience, mathematics, statistics, economics, business, finance ... We are open to hybrid or remote work candidates who are willing to travel often to the East Point ...

micro1 AI

Research Consultant - Physics AI

Norfolk, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Research Consultant - Physics AI

Suffolk, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Research Consultant - Physics AI

Chesapeake, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Research Consultant - Physics AI

Roanoke, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Research Consultant - Physics AI

Hampton, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Research Consultant - Physics AI

Alexandria, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

micro1 AI

Research Consultant - Physics AI

Richmond, VA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Staff in this area will be responsible for applying mathematical and statistical techniques and/or ...

micro1 AI

Senior Scientific Reviewer - Physics

Hampton, VA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

micro1 AI

AI Training Specialist - Physics

Suffolk, VA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

micro1 AI

AI Training Specialist - Physics

Alexandria, VA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

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All JobsBsc Mathematical Statistics JobsRemote Bsc Mathematical Statistics JobsRemote Bsc Mathematical Statistics Jobs in Virginia

Remote Bsc Mathematical Statistics information

What is a remote BSc Mathematical Statistics job?

Remote BSc Mathematical Statistics jobs are positions that allow graduates with a Bachelor of Science degree in Mathematical Statistics to work from locations outside of a traditional office setting, often from home. These roles typically involve analyzing and interpreting data, creating statistical models, and supporting decision-making processes for organizations in industries such as finance, healthcare, technology, and research. Remote positions may include titles like data analyst, statistician, or research associate, and they often require strong mathematical, analytical, and computer skills. With advancements in technology, many employers now offer flexible, remote opportunities for qualified candidates in this field.

What are the key skills and qualifications needed to thrive as a remote BSc Mathematical Statistics professional?

To thrive as a Remote BSc Mathematical Statistics professional, you need a solid background in statistical theory, data analysis, and proficiency in mathematics, typically achieved through a bachelor's degree in mathematical statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS, and experience with data visualization tools are commonly required. Strong analytical thinking, attention to detail, and effective communication skills are crucial for interpreting data and presenting findings to diverse audiences. These skills and qualities are vital for delivering accurate statistical insights and supporting data-driven decision-making in a remote work environment.

What are some common challenges faced by remote BSc Mathematical Statistics professionals and how can they be addressed?

Remote BSc Mathematical Statistics professionals often encounter challenges such as limited face-to-face collaboration, maintaining motivation, and effective communication across different time zones. To address these, it’s important to proactively engage with team members using collaboration tools, schedule regular virtual meetings, and establish a structured daily routine. Additionally, setting clear goals and utilizing project management platforms can help maintain productivity and ensure alignment with team objectives. Building a supportive network through online forums or professional associations can also enhance learning and growth opportunities.

What is the difference between Remote Bsc Mathematical Statistics vs Remote Data Analyst?

AspectRemote Bsc Mathematical StatisticsRemote Data Analyst
Required CredentialsBachelor's in Mathematical Statistics or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentRemote, often research-focused or modeling tasksRemote, data interpretation and reporting
Industry UsageResearch institutions, analytics firms, financeBusiness, marketing, healthcare, finance
Common Search/ComparisonYesNo

Remote Bsc Mathematical Statistics and Remote Data Analyst roles share similar educational backgrounds and remote work settings. However, Mathematical Statistics positions often focus on theoretical modeling and research, while Data Analysts typically handle data interpretation and reporting for business insights. Both roles are in high demand across various industries, but they serve different functions within data-driven organizations.

What are popular job titles related to Remote Bsc Mathematical Statistics jobs in Virginia?

For Remote Bsc Mathematical Statistics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Bsc Mathematical Statistics jobs in Virginia look for?

The top searched job categories for Remote Bsc Mathematical Statistics jobs in Virginia are:

What cities in Virginia are hiring for Remote Bsc Mathematical Statistics jobs?

Cities in Virginia with the most Remote Bsc Mathematical Statistics job openings:

Remote Bsc Mathematical Statistics jobs near you

Semantic Data and AI Engineer

Enterprise Knowledge

Arlington, VA • On-site, Remote

$131K - $158K/yr

Full-time

Re-posted 3 days ago

Job description

Enterprise Knowledge (EK) is hiring a full-time Semantic Data and AI Engineer to join our growing Semantic Engineering and AI Practice. In this role, you will be responsible for designing and deploying cutting-edge data discovery, integration, and governance solutions for a wide range of organizations around the world.
The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. This individual will be able to quickly learn new technologies and apply them to business challenges at large corporations, organizations, and federal agencies. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges with a strategic mindset to advise clients on enterprise AI transformations.
As an EKer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.
Responsibilities
  • Work with data subject matter experts and business users to effectively understand and model their domain of knowledge
  • Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets
  • Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation
  • Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration
  • Support a variety of business intelligence projects using AI-based solutions
  • Analyze complex datasets and communicate insights to both technical and non-technical stakeholders
  • Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages
  • Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures
  • Work with internal and external teams to contextualize data engineering work into larger project context

Requirements
As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization or offer any immigration related support for this position (i.e,. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1, and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.
Our office is located in Arlington, VA, and operates on a hybrid model. While local candidates are preferred, we are also able to hire remote candidates residing in the following states: CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, and WA.
Required Skills and Experience:
  • Bachelor's degree in math, statistics, economics, data science, computer science, or a related field
  • 5+ years experience working on data analysis project(s) designing reports, and designing data analysis approaches and visualizations in a production setting
  • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products
  • Experience applying machine learning methods and statistical analysis to business use cases
  • Proficiency in programming languages such as Python, R, or similar for data analysis and modeling
  • Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting
  • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models
  • Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches)
  • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift
  • Familiarity with data modeling, database architecture, and data integration, aggregation, and normalization across heterogeneous sources
  • Interest in developing as a consultant and taking on additional responsibilities for delivering and growing work
Preferred Skills and Experience:
  • Experience designing and working with relational databases
  • Experience designing and working with graph databases and SPARQL
  • Experience with AI governance practices covering model monitoring, evaluation frameworks, and access entitlements
  • Comfortable working with containerized environments; Docker proficiency expected, Kubernetes familiarity a plus
  • Experience with cloud platforms (AWS, Azure, or GCP) for deploying and operating AI and data solutions
  • Exposure to ontology or taxonomy design, and familiarity with taxonomy/ontology management tools (Progress Semaphore, PoolParty, Synaptica, Mondeca, etc.)
  • Experience designing and planning data science projects to meet business requirements
  • Experience implementing agentic AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, BAML, or equivalent
Salary Information:
EK considers a broad range of factors in considering employee salary, including a candidate's skills, experience, education, certifications, past successes, and qualifications. The salary range for this role is $135,000 to $175,000, with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate's qualifications.
Data Privacy Notice:
Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent.
We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice.
You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected.
By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com.

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