ZipRecruiter

Log In

2

Remote Data Science R Jobs in Grand Prairie, TX (NOW HIRING)

RealPage, Inc.

Fraud Data Analyst

Richardson, TX · On-site +1

$77K - $132K/yr

Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature ... REMOTE Physical Demands and Working Conditions While performing the duties of this job, the ...

micro1 AI

AI Training Specialist - Life Sciences

Plano, TX · Remote

$90 - $120/hr

... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ... data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

M/A/R/C Research, LLC

Regulatory Data Manager

Plano, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote (U.S.) Department: Compliance & Data Management Reports To: SVP, Compliance & Data ... Requirements Required Qualifications · Bachelor's or advanced degree in Life Sciences, Health ...

Munich Re

Principal Data Scientist

Arlington, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... decision science initiatives that support long-term enterprise strategy. Purpose: Use data and ... Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ...

Posted today

previous page

Showing results 41-60

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Grand Prairie, TX

Remote Data Science R information

See Grand Prairie, TX salary details

$35.5K

$116.2K

$186K

How much do remote data science r jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote data science r in Grand Prairie, TX is $116,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are popular job titles related to Remote Data Science R jobs in Grand Prairie, TX?

For Remote Data Science R jobs in Grand Prairie, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Science R jobs in Grand Prairie, TX look for?

The top searched job categories for Remote Data Science R jobs in Grand Prairie, TX are:

What cities near Grand Prairie, TX are hiring for Remote Data Science R jobs?

Cities near Grand Prairie, TX with the most Remote Data Science R job openings:

Remote Data Science R jobs near you

Fraud Data Analyst

RealPage, Inc.

Richardson, TX • On-site, Remote

$77K - $132K/yr

Other

Re-posted 23 days ago

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

224th of 244 rated software companies

Job description

Overview
The Fraud Strategy Analyst is responsible for supporting the development, testing, and ongoing optimization of fraud strategies, policies, rules, thresholds, and decision logic across RealPage's payments ecosystem. This role will focus on fraud prevention and detection across new account onboarding, tenant payments, vendor payments, owner draws, funding instruments, limit management, and payout activity.
This is a hands-on, technical role for a fraud professional with strong analytical skills, data science exposure, and mandatory SQL experience. The ideal candidate can query data independently, identify fraud patterns, test hypotheses, evaluate strategy performance, and translate findings into practical fraud controls while balancing risk mitigation, customer experience, operational workload, and business growth.
Responsibilities
Fraud Strategy, Policy & Controls
  • Support development and maintenance of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows.
  • Help build and optimize controls for payment fraud, onboarding risk, account takeover, business email compromise, counterparty fraud, tenant payment fraud, synthetic identity, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies.
  • Document strategy rationale, rule logic, expected impact, monitoring plans, policy considerations, change history, and recommended follow-up actions Analytics, Data Science & Rule Performance
  • Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction.
  • Apply analytical and data science methods to support feature exploration, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, and performance monitoring.
  • Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls.

Operational Feedback & Cross-Functional Execution
  • Partner with Onboarding Risk Operations and Risk Monitoring Operations to incorporate case outcomes, queue trends, investigator feedback, alert quality, and operational pain points into strategy improvements.
  • Review themes from Trust and Safety escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, or policy needs requiring durable remediation.
  • Collaborate with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflow, data availability, rule implementation, and control monitoring.
  • Provide concise updates on fraud trends, strategy performance, emerging risks, rule effectiveness, false positive impact, and recommended actions to fraud leadership and cross-functional stakeholders.

Qualifications
Required:
  • 3-5 years of full-time experience in fraud strategy, fraud analytics, payments risk, data science, financial crime, risk operations strategy, or a related technical risk function
  • Mandatory SQL experience, with the ability to independently query data, validate hypotheses, assess rule or control performance, and support fraud strategy development.
  • Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical methods used in fraud or risk decisioning.
  • Experience working with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations stakeholders.
  • Bachelor's degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or related field, or equivalent practical experience.

KNOWLEDGE/SKILLS/ABILITIES
Required:
  • Strong analytical curiosity and ability to connect fraud signals across disconnected tools, imperfect data, and evolving processes.
  • Ability to translate data findings into clear fraud strategy recommendations, rule changes, control improvements, and policy considerations.
  • Working knowledge of fraud typologies such as synthetic identity, first-party misuse, counterparty fraud, business email compromise, onboarding fraud, stolen payment instruments, tenant payment fraud, account takeover, or bust-out behavior.
  • Ability to evaluate fraud strategies using metrics such as loss exposure, fraud capture, precision, false positives, customer friction, queue impact, and post-launch performance trends.
  • Strong written and verbal communication skills, including the ability to summarize technical findings for fraud, product, operations, data science, and leadership audiences.
  • High ownership, sound judgment, attention to detail, and ability to balance fraud mitigation with customer experience, operational capacity, compliance considerations, and business growth.
  • Preferred experience with property management, rent payments, real estate technology, B2B payments, vendor payments, bill pay, embedded payments, merchant acquiring, fraud platforms, payment processor portals, device/identity signals, or decisioning platforms such as Oscilar.

#LI-AS2
#LI-REMOTE
Physical Demands and Working Conditions
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must have the ability to operate a personal computer and express or exchange ideas by means of the spoken word. May be required to sit and/or stand for long periods of time. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. May be required to lift or move 10+ pounds.
Pay Range
USD $77,700.00 - USD $132,300.00 /Yr.

What RealPage employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply