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Remote Predictive Analytics Jobs in Laurel, MD (NOW HIRING)

Lead Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a ... experience in predictive analytics using tools like Python, R, or Scala.  * 6+ years of ...

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Experience with machine learning and predictive analytics. * Experience using geospatial Python ...

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Experience with machine learning and predictive analytics. * Experience using geospatial Python ...

Location: 100% Remote Years' Experience: 9+ years Professional Experience Education: Bachelor ... Design, develop and support statistical and predictive analytics dashboards and reports using Power ...

Predictive Analytics : Create models to forecast equipment failures, personnel shortages, or budget ... Open to Remote Target salary range: $111,426 - $150,000 Disclaimer: The salary range displayed ...

Pricing Director

Washington, DC · On-site +1

$170K - $200K/yr

Remote, U.S. (Arlington, VA or Huntsville, AL preferred) JOB STATUS: Full-time CLEARANCE: N/A ... Experience incorporating AI, predictive analytics, automation, or business intelligence tools into ...

... predictive analytics. You will be delivering cutting edge data science capabilities to advance ... The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ...

... for remote work to be determined by the program manager and customer. Essential Functions ... Experience with Predictive Maintenance / Logistics * Experience with sensor-based failure ...

Showing results 21-40

Remote Predictive Analytics information

See Laurel, MD salary details

$82.8K

$125.9K

$169.5K

How much do remote predictive analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote predictive analytics in Laurel, MD is $125,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $142,300.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed for remote predictive analytics?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

What is remote predictive analytics?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

How do remote predictive analytics professionals collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.
What are popular job titles related to Remote Predictive Analytics jobs in Laurel, MD? For Remote Predictive Analytics jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Analytics jobs in Laurel, MD look for? The top searched job categories for Remote Predictive Analytics jobs in Laurel, MD are:

Senior Data Scientist -- Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

Full-time

Posted 14 days ago


Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring two Senior Data Scientists to support advanced fraud analytics for a federal Office of Inspector General (OIG). You will design and deploy machine learning models that detect fraud, improper payments, and non-compliance across government programs — work that directly supports real audits and criminal investigations.
This is high-impact, mission-driven work. You will partner closely with criminal investigators and data engineers to turn large, messy datasets into actionable case leads, predictive models, and clear visualizations for both technical teams and executive leadership.What You’ll Do
  • Design, develop, and deploy advanced statistical and machine learning models (supervised and unsupervised) to identify fraud, improper payments, and non-compliance
  • Perform data quality analysis on source tables to surface abnormalities and inconsistencies
  • Build and refine repeatable processes for combining and analyzing large relational, structured, and unstructured datasets
  • Develop and test predictive models using regression, Bayesian, clustering, and ensemble methods; tune models for best fit
  • Collaborate with criminal investigators to shape analytic strategy, adapt to shifting case needs, and handle protected information in line with federal rules (e.g., Rule 6(e))
  • Integrate and scale NLP methods — OCR, semantic similarity, and large language models — to parse and analyze large text corpora
  • Develop case leads for investigations based on model outcomes
  • Build dashboards and visualizations (network graphs, interactive maps, plots) that communicate methodology and results
  • Document all methodology, test models, and production models in compliance with evidentiary requirements
  • Deliver findings in multiple formats — investigative data summaries and executive briefings
  • Create automation using tools such as Python, SQL, SharePoint, Excel, and Power BI
Required Qualifications
  • Master’s, Ph.D., or doctorate-level equivalent degree in data science, machine learning, computer science, mathematics, or a related field; OR 10 years of applied work experience in those fields
  • 5+ years of hands-on experience in each of:
    • Designing, implementing, and maintaining advanced AI systems and predictive models (supervised and unsupervised)
    • Developing analytic rules and models using leading-edge fraud analytics tools and best practices
    • Building regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables
  • 3+ years of hands-on experience in each of:
    • Providing data support for criminal investigations into fraud or abuse
    • Manipulating data in Python (Pandas required)
    • Working in a modern cloud environment (Azure, AWS, or GCP) — certifications preferred
  • 2+ years of hands-on experience in each of:
    • Advanced data analysis in SQL (SQL Server and PostgreSQL)
    • Developing and scaling NLP solutions
    • Presenting methods and findings to technical and non-technical stakeholders, both orally and in written products/visualizations
Preferred
  • Cloud certifications (Azure, AWS, or GCP)
  • Experience supporting government audits or investigations
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed
We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.