Data Scientist ID71658
Richmond, VA · On-site +1
... in Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ... Flexible schedule with remote and office options.
Data Scientist ID71658
Richmond, VA · On-site +1
... in Python , R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ... Flexible schedule with remote and office options.
Remote Sas R Python information
See Henrico, VA salary details
$7.42 - $13.13
2% of jobs
$13.13 - $18.84
0% of jobs
$18.84 - $24.55
2% of jobs
$24.55 - $30.27
0% of jobs
$30.27 - $35.98
6% of jobs
$35.98 - $41.69
2% of jobs
$44.89 is the 25th percentile. Wages below this are outliers.
$41.69 - $47.40
22% of jobs
The median wage is $49.58 / hr.
$47.40 - $53.12
40% of jobs
$53.22 is the 75th percentile. Wages above this are outliers.
$53.12 - $58.83
15% of jobs
$58.83 - $64.54
7% of jobs
$64.54 - $70.25
3% of jobs
$7
$49
$70
How much do remote sas r python jobs pay per hour?
As of Jun 20, 2026, the average hourly pay for remote sas r python in Henrico, VA is $49.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $54.33 per hour, depending on experience, location, and employer.
What is the difference between Remote Sas R Python vs Remote Data Analyst?
| Aspect | Remote Sas R Python | Remote Data Analyst |
|---|---|---|
| Required Skills | SAS, R, Python, data manipulation | Excel, SQL, data visualization, basic statistical analysis |
| Certifications | SAS certifications, R/Python proficiency | None mandatory, often preferred certifications in Excel or SQL |
| Work Environment | Data analysis, statistical modeling, programming | Data interpretation, reporting, visualization |
| Industry Usage | Healthcare, finance, pharmaceuticals | Business, marketing, finance |
Remote Sas R Python roles focus on advanced statistical programming and data modeling using SAS, R, and Python, often in specialized industries. Remote Data Analysts handle data interpretation, reporting, and visualization, typically requiring skills in Excel and SQL. While both roles involve data work, Sas R Python positions demand programming expertise, whereas Data Analysts focus more on data presentation and insights.
What are popular job titles related to Remote Sas R Python jobs in Henrico, VA? For Remote Sas R Python jobs in Henrico, VA, the most frequently searched job titles are:
What job categories do people searching Remote Sas R Python jobs in Henrico, VA look for? The top searched job categories for Remote Sas R Python jobs in Henrico, VA are:
What cities near Henrico, VA are hiring for Remote Sas R Python jobs? Cities near Henrico, VA with the most Remote Sas R Python job openings:
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
About AgileEngine
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
McLean, VA, US
Year founded
2000