Home › Companies › Peoplevisor › Data Scientist
Data Scientist
Peoplevisor · Any (Remote), Texas, 75039, United States · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Peoplevisor |
| Title | Data Scientist |
| Normalized title | - |
| Department / team | Service Delivery |
| Location | Any ( ), United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2020-02-20 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Peoplevisor. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Any ( ). | Open |
| Department jobs | Active postings in Service Delivery. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Peoplevisor |
| Source | a92fe971-c98b-4922-a6d9-f3561a5500de |
| ATS provider | BambooHR |
Description
Peoplevisor is seeking an experienced Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.
KEY EXPECTATIONS
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
DESIRED SKILLS AND EXPERIENCE
Strong problem-solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
5-7 years of experience manipulating data sets and building statistical models.
Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Employer’s Rights:
Peoplevisor, LLC. has the right to revise this job description at any time. This job description is not a contract for employment. This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.
Equal Opportunity Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran.
Applications for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Peoplevisor, LLC.
Full job record
| Job ID | 0a337b3a53dc150c7533622787047555d47becc7 |
| Org ID | f5de5954-fe34-4e70-b19f-485202bd6752 |
| Source ID | a92fe971-c98b-4922-a6d9-f3561a5500de |
| Board ID | a92fe971-c98b-4922-a6d9-f3561a5500de |
| Provider | bamboohr |
| Provider Job Key | 27 |
| Title | Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Any (Remote), Texas, 75039, United States |
| Department | Service Delivery |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | Any ( ) |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://peoplevisor.bamboohr.com/careers/27 |
| Apply URL | https://peoplevisor.bamboohr.com/careers/27 |
| First Seen At | 2026-05-30 06:00:53Z |
| Last Seen At | 2026-06-19 10:32:26Z |
| Last Checked At | 2026-06-19 10:32:26Z |
| Last Changed At | 2026-05-30 06:00:53Z |
| Inactive At | — |
| Source Posted At | 2020-02-20 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=peoplevisor/date=2026-06-19/2026-06-19T10-32-24-702Z-62c555262dcefc5296ebf59e6482214831653d3923843e957d435b52ad70ff96.json |
Event Fields
{
"content_hash": "abb03ae863bb91aefb7b3a9d7dc0f94875a7691c2a4095663984f3a492ae8e36",
"source_hash": "393998bc86742236132c9d58ffaeeb4a2f9d83d49345804e65e1e7d570ed5e7a",
"last_changed_at": "2026-05-30T06:00:53.193Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Any (Remote), Texas, 75039, United States",
"city": "Any ( )",
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.95
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-19T10:32:26.094Z",
"launch_scope": {
"reason": "bamboohr_production_catalog",
"included": true,
"location": {
"raw": "Any (Remote), Texas, 75039, United States",
"city": "Any ( )",
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.95
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": null,
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"list_job": {
"id": "27",
"isRemote": null,
"location": {
"city": "Any (Remote)",
"state": "Texas"
},
"atsLocation": {
"city": null,
"state": null,
"country": null,
"province": null
},
"departmentId": "18431",
"locationType": "0",
"jobOpeningName": "Data Scientist",
"departmentLabel": "Service Delivery",
"employmentStatusLabel": "Full-Time"
},
"detail_errors": [],
"detail_job_opening": {
"location": {
"city": "Any (Remote)",
"state": "Texas",
"postalCode": "75039",
"addressCountry": "United States"
},
"datePosted": "2020-02-20",
"atsLocation": {
"city": null,
"state": null,
"country": null,
"countryId": null
},
"description": "<p><span style=\"font-size: 15px; font-family: Lato, sans-serif;\">Peoplevisor is seeking an experienced <span style=\"color: black;\">Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. </span></span></p><p><br></p><p> </p><p><br></p><p><span style=\"font-size: 15px; font-family: Lato, sans-serif; font-weight: bold;\"><span style=\"color: black;\">KEY EXPECTATIONS</span></span></p><p><br></p><ul>\n<li><span style=\"font-size: 15px; font-family: Lato, sans-serif;\">Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</span></li>\r\n<li>Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li>\r\n<li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li>\r\n<li>Develop custom data models and algorithms to apply to data sets.</li>\r\n<li>Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li>\r\n<li>Develop company A/B testing framework and test model quality.</li>\r\n<li>Coordinate with different functional teams to implement models and monitor outcomes.</li>\r\n<li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li>\r\n</ul><p><br></p><p> </p><p><br></p><p><span style=\"font-size: 15px; font-family: Lato, sans-serif; font-weight: bold;\">DESIRED SKILLS AND EXPERIENCE</span></p><p><br></p><ul>\n<li><span style=\"font-size: 15px; font-family: Lato, sans-serif;\">Strong problem-solving skills with an emphasis on product development.</span></li>\r\n<li>Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.</li>\r\n<li>Experience working with and creating data architectures.</li>\r\n<li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li>\r\n<li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li>\r\n<li>Excellent written and verbal communication skills for coordinating across teams.</li>\r\n<li>A drive to learn and master new technologies and techniques.</li>\r\n<li>5-7 years of experience manipulating data sets and building statistical models.</li>\r\n<li>Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:\r\n<p><br></p>\n<ul>\n<li>Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.</li>\r\n<li>Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.</li>\r\n<li>Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.</li>\r\n<li>Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.</li>\r\n<li>Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.</li>\r\n<li>Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.</li>\r\n<li>Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.</li>\r\n<li>Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.</li>\r\n</ul>\n</li>\r\n</ul><p><br></p><p> </p><p><br></p><p><span style=\"font-size: 15px; font-weight: bold;\"><em><span style=\"font-family: Lato, sans-serif;\"><span style=\"color: black;\">Employer’s Rights:</span></span></em></span></p><p><br></p><p><span style=\"font-size: 15px;\"><em><span style=\"font-family: Lato, sans-serif;\"><span style=\"color: black;\">Peoplevisor, LLC. has the right to revise this job description at any time. This job description is not a contract for employment. This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.</span></span></em></span></p><p><br></p><p> </p><p><br></p><p><span style=\"font-size: 15px; font-weight: bold;\"><em><span style=\"font-family: Lato, sans-serif;\"><span style=\"color: black;\">Equal Opportunity Statement:</span></span></em></span></p><p><br></p><p><span style=\"font-size: 15px;\"><em><span style=\"font-family: Lato, sans-serif;\">All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a Vietnam or disabled veteran.</span></em></span></p><p><br></p><p> </p><p><br></p><p><span style=\"font-size: 15px;\"><em><span style=\"font-family: Lato, sans-serif;\"><span style=\"color: black;\">Applications for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Peoplevisor, LLC.</span></span></em></span></p>",
"compensation": null,
"departmentId": "18431",
"locationType": "0",
"seekPromoted": false,
"jobCategoryId": null,
"jobOpeningName": "Data Scientist",
"departmentLabel": "Service Delivery",
"jobOpeningStatus": "Open",
"minimumExperience": "Experienced",
"jobOpeningShareUrl": "https://peoplevisor.bamboohr.com/careers/27",
"employmentStatusLabel": "Full-Time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/0a337b3a53dc150c7533622787047555d47becc7?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/f5de5954-fe34-4e70-b19f-485202bd6752JSONGET https://api.bluedoor.sh/job-postings/v1/sources/a92fe971-c98b-4922-a6d9-f3561a5500deJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/0a337b3a53dc150c7533622787047555d47becc7/eventsJSON