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HomeCompaniesCareers Realpagepms Icims ComData Scientist

Data Scientist

Careers Realpagepms Icims Com · Richardson, TX, US · Remote · Active · $116,400–$198,200 / year · iCIMS

Job facts

FieldValue
CompanyCareers Realpagepms Icims Com
TitleData Scientist
Normalized title-
Department / teamEngineering
LocationRichardson, TX, United States
Work modelRemote / Remote
Employment typeOTHER
Salary$116,400–$198,200 / year
Statusactive
ATS provideriCIMS
Posted / first seen2026-02-26 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Careers Realpagepms Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Richardson.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Realpagepms Icims Com
Sourcee718b192-85c1-4f4a-9306-f8166369a3c1
ATS provideriCIMS

Description

Overview We are looking for a Data Scientist to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. Responsibilities Machine Learning & Data Science Develop, evaluate, and deploy predictive and generative models for real production use cases Perform feature engineering and data preparation for modeling workflows Translate business and product questions into analytical solutions Generative AI Build and maintain LLM powered features and services Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases Integrate LLMs with APIs and internal tools using structured function calling Finetune foundation models with parameter efficient approaches (e.g., LoRA) Evaluate model quality, detect hallucinations, and implement safety guardrails Use synthetic data to improve model performance, testing, and fairness Optimize inference performance and cost across different model providers MLOps & Production Systems Deploy and operate machine learning and GenAI models in production Build CI/CD pipelines for models and data workflows Monitor performance, data quality, and model drift Design versioning, rollback, and retraining strategies Partner with platform and infrastructure teams to ensure reliability and scalability RealTime Analytics Build low latency data pipelines and real time decisioning systems Work with streaming data and event driven architectures Support systems with strict uptime and response time requirements Contribute to feature stores used for both real time and batch inference Qualifications 3–6 years of experience in data science, machine learning, or applied AI A degree (Master's or better preferred) in Computer Science, Data Science or related fields KNOWLEDGE/SKILLS/ABILITIES Strong Python and SQL skills Handson experience deploying models into production Familiarity with cloud platforms (AWS, Azure, or GCP) Experience with modern ML frameworks (PyTorch, TensorFlow, scikitlearn) Exposure to LLMs, embeddings, and GenAI workflows Ability to communicate clearly with engineers, product managers, and nontechnical partners Nice to Have Experience with streaming data systems Experience operating models at scale Knowledge of MLOps tools and observability practices Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 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. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees. #LI-REMOTE #LI-JL1 Pay Range USD $116,400.00 - USD $198,200.00 /Yr.

Full job record

Job ID5f1d99d19862d5ece143a518728585f227e1f195
Org ID86649a8e-0beb-4ae9-ac2e-8afee0b3effc
Source IDe718b192-85c1-4f4a-9306-f8166369a3c1
Board IDe718b192-85c1-4f4a-9306-f8166369a3c1
Providericims
Provider Job Key12946
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextRichardson, TX, US
DepartmentEngineering
Team
Employment TypeOTHER
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionTX
CityRichardson
Salary RawOverview We are looking for a Data Scientist to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. Responsibilities Machine Learning & Data Science Develop, evaluate, and deploy predictive and generative models for real production use cases Perform feature engineering and data preparation for modeling workflows Translate business and product questions into analytical solutions Generative AI Build and maintain LLM powered features and services Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases Integrate LLMs with APIs and internal tools using structured function calling Finetune foundation models with parameter efficient approaches (e.g., LoRA) Evaluate model quality, detect hallucinations, and implement safety guardrails Use synthetic data to improve model performance, testing, and fairness Optimize inference performance and cost across different model providers MLOps & Production Systems Deploy and operate machine learning and GenAI models in production Build CI/CD pipelines for models and data workflows Monitor performance, data quality, and model drift Design versioning, rollback, and retraining strategies Partner with platform and infrastructure teams to ensure reliability and scalability RealTime Analytics Build low latency data pipelines and real time decisioning systems Work with streaming data and event driven architectures Support systems with strict uptime and response time requirements Contribute to feature stores used for both real time and batch inference Qualifications 3–6 years of experience in data science, machine learning, or applied AI A degree (Master's or better preferred) in Computer Science, Data Science or related fields KNOWLEDGE/SKILLS/ABILITIES Strong Python and SQL skills Handson experience deploying models into production Familiarity with cloud platforms (AWS, Azure, or GCP) Experience with modern ML frameworks (PyTorch, TensorFlow, scikitlearn) Exposure to LLMs, embeddings, and GenAI workflows Ability to communicate clearly with engineers, product managers, and nontechnical partners Nice to Have Experience with streaming data systems Experience operating models at scale Knowledge of MLOps tools and observability practices Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 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. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees. #LI-REMOTE #LI-JL1 Pay Range USD $116,400.00 - USD $198,200.00 /Yr.
Salary Min116,400
Salary Max198,200
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers-realpagepms.icims.com/jobs/12946/data-scientist/job
Apply URLhttps://careers-realpagepms.icims.com/jobs/12946/data-scientist/job
First Seen At2026-05-31 18:48:37Z
Last Seen At2026-06-06 08:37:47Z
Last Checked At2026-06-06 08:37:47Z
Last Changed At2026-06-01 14:06:29Z
Inactive At
Source Posted At2026-02-26 05:00:00Z
Source Updated At2026-05-08 15:48:08Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-realpagepms.icims.com/date=2026-06-06/2026-06-06T08-37-44-772Z-6b28436dd3ad21d2b709295023e41c0084a7dfcd75ed0c1e3cbbbd9118938147.json
Event Fields
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Parsed Structured
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Extensions
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