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HomeCompaniesBrillio 2Principal Data Scientist - R01566418

Principal Data Scientist - R01566418

Brillio 2 · Edison, New Jersey, United States · Remote · Active · $185,000–$190,000 / year · Lever

Job facts

FieldValue
CompanyBrillio 2
TitlePrincipal Data Scientist - R01566418
Normalized title-
Department / teamAI & Data Engineering / AI & Data Engineering : Data Science
LocationEdison, NJ, United States
Work modelRemote / Remote
Employment typeEmployee
Salary$185,000–$190,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-06-10 / 2026-06-19
Changed / last seen2026-06-19 / 2026-06-21

Related slices

PageWhat it containsOpen
Company jobsActive postings from Brillio 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Edison.Open
Department jobsActive postings in AI & Data 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

CompanyBrillio 2
Source8dec4a9c-f965-4413-9dbd-4366a88c56a5
ATS providerLever

Description

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Principal Data Scientist Know what it’s like to work and grow at Brillio: Click here Job requirements Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions Key Responsibilities: 1. Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics 2. Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting 3. Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact 4. Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering 5. Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks 6. Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models 7. Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI 8. Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team Required Skills: 1. Expertise in hypothesis testing, including T-Test and Z-Test methodologies 2. Advanced proficiency in regression techniques (linear and logistic) 3. Strong programming skills in Python, PySpark, and R/R Studio 4. Hands-on experience with SAS and SPSS for statistical analysis and computing 5. In-depth knowledge of probabilistic graph models 6. Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX 7. Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM) 8. Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet 9. Familiarity with distance metrics (Hamming, Euclidean, Manhattan) 10. Working knowledge of Kubeflow and BentoML for model deployment and orchestration Preferred Skills: 1. Experience implementing advanced model monitoring with Evidently AI 2. Expertise in data pipeline automation and orchestration using Kubeflow 3. Knowledge of emerging ML frameworks and architectures 4. Experience with large-scale distributed computing environments 5. Strong background in statistical validation and reproducibility best practices Desired Qualifications: 1. Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field 2. Relevant certifications in machine learning, statistical analysis, or advanced data science Know more about DAE: https://www.brillio.com/services-data-analytics/ Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/ Equal Employment Opportunity Declaration Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation. #LI-AY1

Full job record

Job ID1a437dd65b889b6068716de45568ca89a1968a9a
Org ID717b76e6-2650-4b68-8dcc-07a5191937f7
Source ID8dec4a9c-f965-4413-9dbd-4366a88c56a5
Board ID8dec4a9c-f965-4413-9dbd-4366a88c56a5
Providerlever
Provider Job Key3f525504-b0b1-4c2b-87c3-c587e0f2845b
TitlePrincipal Data Scientist - R01566418
Normalized Title
Statusactive
Activeyes
Location TextEdison, New Jersey, United States
DepartmentAI & Data Engineering
TeamAI & Data Engineering : Data Science
Employment TypeEmployee
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNJ
CityEdison
Salary RawUSD 185000-190000 per-year-salary
Salary Min185,000
Salary Max190,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/brillio-2/3f525504-b0b1-4c2b-87c3-c587e0f2845b
Apply URLhttps://jobs.lever.co/brillio-2/3f525504-b0b1-4c2b-87c3-c587e0f2845b/apply
First Seen At2026-06-19 07:56:06Z
Last Seen At2026-06-21 07:56:31Z
Last Checked At2026-06-21 07:56:31Z
Last Changed At2026-06-19 07:56:06Z
Inactive At
Source Posted At2026-06-10 06:53:46Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=brillio-2/date=2026-06-21/2026-06-21T07-56-30-676Z-36a143e523e68d231bcd00a19a06e4c3eb4d8e31a8f475c6a8360d76ff8db914.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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    "region": "NJ",
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Extensions
{}
Native Structured
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      "content": "<p>Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions</p>\n<p>Key Responsibilities:<br>&nbsp; 1. Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics<br>&nbsp; 2. Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting<br>&nbsp; 3. Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact<br>&nbsp; 4. Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering<br>&nbsp; 5. Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks<br>&nbsp; 6. 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Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM)<br>&nbsp; 8. Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet<br>&nbsp; 9. Familiarity with distance metrics (Hamming, Euclidean, Manhattan)<br>&nbsp; 10. Working knowledge of Kubeflow and BentoML for model deployment and orchestration</p>\n<p>Preferred Skills:<br>&nbsp; 1. Experience implementing advanced model monitoring with Evidently AI<br>&nbsp; 2. Expertise in data pipeline automation and orchestration using Kubeflow<br>&nbsp; 3. Knowledge of emerging ML frameworks and architectures<br>&nbsp; 4. Experience with large-scale distributed computing environments<br>&nbsp; 5. Strong background in statistical validation and reproducibility best practices</p>\n<p>Desired Qualifications:<br>&nbsp; 1. Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field<br>&nbsp; 2. Relevant certifications in machine learning, statistical analysis, or advanced data science</p>\n<div>&nbsp;</div>\n<div>\n<p style=\"margin: 0in; text-align: justify; line-height: 115%; font-size: 11pt; font-family: Calibri, sans-serif;\"><span style=\"font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman', serif; color: black;\">Know more about </span><span style=\"font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman', serif; color: black;\">DAE:&nbsp;</span><a href=\"https://www.brillio.com/services-data-analytics/\"><span style=\"font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman', serif;\">https://www.brillio.com/services-data-analytics/</span></a></p>\n<p style=\"margin: 0in; text-align: justify; line-height: 115%; font-size: 11pt; font-family: Calibri, sans-serif;\">&nbsp;</p>\n<p style=\"margin: 0in; text-align: justify; line-height: 115%; font-size: 11pt; font-family: Calibri, sans-serif;\"><span style=\"font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman', serif;\">Know what it’s like to work and grow at Brillio:</span> <a href=\"https://www.brillio.com/join-us/\"><span style=\"font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman', serif;\">https://www.brillio.com/join-us/</span></a></p>\n<p style=\"margin: 0in; text-align: justify; line-height: normal; background: white; font-size: 11pt; font-family: Calibri, sans-serif;\"><strong><span style=\"font-size: 10.0pt; font-family: 'Segoe UI', sans-serif; border: none windowtext 1.0pt; padding: 0in;\">&nbsp;</span></strong></p>\n<p style=\"margin: 0in; text-align: justify; line-height: normal; background: white; font-size: 11pt; font-family: Calibri, sans-serif;\"><strong><span style=\"font-size: 10.0pt; font-family: 'Segoe UI', sans-serif; color: black; border: none windowtext 1.0pt; padding: 0in;\">Equal Employment Opportunity Declaration</span></strong></p>\n<p style=\"margin: 0in; text-align: justify; line-height: normal; background: white; font-size: 11pt; font-family: Calibri, sans-serif;\"><span style=\"font-size: 10.0pt; font-family: 'Segoe UI', sans-serif; color: black;\">Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.</span></p>\n<p style=\"margin: 0in; text-align: justify; line-height: normal; background: white; font-size: 11pt; font-family: Calibri, sans-serif;\">&nbsp;</p>\n<p style=\"margin: 0in; text-align: justify; line-height: normal; background: white; font-size: 11pt; font-family: Calibri, sans-serif;\"><span style=\"font-size: 10.0pt; font-family: 'Segoe UI', sans-serif; color: black;\">#LI-AY1</span></p>\n</div>"
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