[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","routes/ssr/_anon-layout",{"_382":383,"_384":385,"_386":-5,"_387":388,"_389":390,"_391":392,"_393":394},"browse-city",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":30,"_31":32},"careerAreaSlug","technology","careerAreaName","Technology","occupationSlug","statistician","occupationName","Statistician","stateSlug","va","stateName","Virginia","citySlug","chantilly","cityName","Chantilly","jobs",[349,350],"gone",false,"selectedJobDetail",{"_36":37,"_38":39,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_23":54,"_19":20,"_55":28,"_56":57,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67,"_68":28,"_69":70,"_71":70,"_72":28,"_73":28,"_74":75,"_76":77,"_78":79,"_80":81,"_82":28,"_83":28,"_84":85,"_86":87,"_88":89,"_90":91,"_92":93,"_94":95,"_96":97,"_98":99,"_100":101,"_102":103,"_104":105,"_106":107,"_108":28,"_109":110,"_111":112,"_21":22,"_17":18,"_13":14,"_113":114,"_9":115,"_116":117,"_118":119,"_120":121,"_122":123,"_124":125,"_126":127,"_128":70,"_129":37,"_130":39,"_131":114,"_132":133,"_134":135,"_136":137,"_138":139},"selectedJobCompanyDetails",{"_33":34,"_35":34},"profileURL","","CompanyName","id","fb1255f0301d8f0285b7f19bda4e8085c3243623","slug","data-science-ai-statistical-fb1255f0","title","Data Science, AI, Statistical Modeling","body","

Job ID:

2616611

Location:

Chantilly, VA, US Date Posted:

2026-09-08

Engineering and Sciences Subcategory:

Modeling/Sim Engr Schedule:

Full-Time Shift:

Day Job Travel:

No Minimum Clearance Required:

TS.SCI_wPoly Clearance Level Must Be Able to

Obtain:

None Potential for

Remote Work:

ORA_ON_SITE Description ?SAIC is seeking Data Scientist with deep expertise in AI/ML, advanced statistical modeling, and computer vision/OCR to design, develop, and deploy data-driven solutions that support mission-critical objectives. The ideal candidate combines strong quantitative skills with hands-on engineering experience, and can translate complex business or mission needs into scalable analytical and AI solutions. You will work closely with subject-matter experts to understand requirements and translate those requirements into technical solutions to .to build models that extract value from structured and unstructured data, including images, documents, and text. Additionally, the models must detect changes from a defined baseline and incorporate the results into customer required report formats.

Key Responsibilities:

AI & Machine Learning Design, build, and validate machine learning models (supervised, unsupervised, and semi-supervised) for prediction, classification, clustering, and change detection.. Develop and maintain end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and deployment. Apply deep learning techniques (e.g., CNNs, RNNs/LSTMs/Transformers) where appropriate to solve complex business or mission problems Statistical Modeling & Analytics Develop and apply statistical models (e.g., regression, generalized linear models, hierarchical/multilevel models, time series, survival analysis, experimental design) to support forecasting, risk assessment, and operational decision-making Perform rigorous exploratory data analysis (EDA) and statistical inference to identify patterns, trends, drivers, and causal relationships Design and analyze A/B tests or other experiments to measure the impact of products, policies, or processes Communicate uncertainty, assumptions, and limitations of models using appropriate statistical methods Computer Vision & OCR Develop computer vision and OCR solutions for image and document understanding, including detection, classification, segmentation, and feature extraction Implement document layout and entity extraction models (e.g., for forms, reports, scanned documents, PDFs) to convert unstructured visual content into structured data Fine-tune or customize pre-trained vision and OCR models to specific domains, languages, and document types Stakeholder Engagement & Communication Partner with business, program, or mission owners to understand requirements, define measurable objectives, and translate them into analytical solutions Present results and recommendations to technical and non-technical stakeholders through clear reports, visualizations, and briefings Document methodologies, models, and processes for transparency, reproducibility, and knowledge transfer

Qualifications Required Qualifications:

Active TS/SCI with Poly clearance Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience 3-5+ years (or equivalent hands-on experience) in data science, machine learning, or applied statistics Strong proficiency in Python (preferred) or R , including use of standard data science libraries Demonstrated experience building and deploying machine learning and statistical models on real-world datasets Solid foundation in statistics and probability, including: Hypothesis testing, confidence intervals, power analysis Regression modeling (linear, logistic, regularization methods) Time series or forecasting techniques Hands-on experience with deep learning frameworks such as TensorFlow , Keras , or PyTorch Proven experience in computer vision , including at least some of: Image classification, object detection, or segmentation Use of CNN-based architectures (e.g., ResNet, EfficientNet, YOLO, Mask R-CNN, etc.) Practical experience with OCR and document understanding, including: Implementing OCR workflows with open-source or cloud-based tools Pre- and post-processing of scanned documents (denoising, deskewing, layout analysis, text normalization) Experience working with relational databases and SQL; familiarity with NoSQL or data lakes is a plus Ability to write clean, modular, and reproducible code using version control (e.g., Git) Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team Strong communication skills and ability to explain technical concepts to non-technical stakeholders Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .","type","jobPosting","source","LC","accountId","36380827","organizationName","SAIC","applicationUrl","https://www.dice.com/job-detail/182d58ff-1266-4c34-80ed-59a30463a53c","Chantilly, VA","isRemote","location",{"_345":346,"_347":348},"createdAt","2026-09-19T07:51:31.142972358Z","updatedAt","2026-09-18T12:31:24.906Z","publishedAt","2026-09-10T00:00:00Z","expiresAt","2026-10-20T00:00Z","status","active","isExpired","isDiscoverable",true,"isSearchable","isSpotlight","isDraft","careerSkills",[174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229],"requiredEducation","4_college","benefitCategories",[173],"amount",160001,"isEmailRequired","isPhoneRequired","subtype","job","titleSearch","Unclassified","compensationType","salary","locationFlexibility","onsite","employmentTypeName","full_time","wage10thPercentileHourly",28.92596153846154,"wage30thPercentileHourly",34.447596153846156,"wage50thPercentileHourly",37.83509615384615,"growthRateFiveYear",0.01,"payGrowthScore",87.81557051836074,"jobSecurityScore",42.925392927507204,"compositeScore",65.37048172293397,"compositeLowConfidence","county","51059","state","51","sitemapPath","/technology/statistician/va/chantilly",[10],"eduLevelsName",[77],"lotCareerAreaName",[12],"lotOccupationName",[16],"lotSpecializedOccupation",[172],"minYearsExperience","5","minEduLevels","2","isCanonical","canonicalJobId","canonicalSlug","canonicalSitemapPath","groupVariantCount",1,"groupLocations",[169],"benefitNames",[168],"aiEnrichments",{"_140":141,"_142":143,"_144":145,"_146":147},"pay",{"_154":155,"_156":157,"_158":81,"_159":160,"_161":162,"_163":164,"_165":70,"_166":167},"extractedFilters",{"_90":91,"_153":93},"experienceLevel",{"_148":149,"_150":28,"_151":152},"tldr","This job needs a data scientist with 3-5 years of experience in AI, machine learning, and statistical modeling to build models for images, documents, and text. You’ll work onsite in Chantilly, VA, with a salary between $160K and $200K.","estimatedYearsExperience",5,"isEntryLevel","explanation","Requires 3-5+ years in data science/ML or equivalent PhD experience","employmentType","period","annual","currency","USD","rawMin","rawMax",200000,"hourlyMin",76.92,"hourlyMax",96.15,"disclosed","basis","extracted","Dental Insurance",{"_170":54,"_111":18,"_171":37,"_38":39,"_55":28,"_52":53,"_113":114},"city","jobId","23111710","insurance",{"_230":343,"_232":344,"_234":-5},{"_230":341,"_232":342,"_234":-5},{"_230":339,"_232":340,"_234":-5},{"_230":337,"_232":338,"_234":-5},{"_230":335,"_232":336,"_234":-5},{"_230":333,"_232":334,"_234":-5},{"_230":331,"_232":332,"_234":-5},{"_230":329,"_232":330,"_234":-5},{"_230":327,"_232":328,"_234":-5},{"_230":325,"_232":326,"_234":-5},{"_230":323,"_232":324,"_234":-5},{"_230":321,"_232":322,"_234":-5},{"_230":319,"_232":320,"_234":-5},{"_230":317,"_232":318,"_234":-5},{"_230":315,"_232":316,"_234":-5},{"_230":313,"_232":314,"_234":-5},{"_230":311,"_232":312,"_234":-5},{"_230":309,"_232":310,"_234":-5},{"_230":307,"_232":308,"_234":-5},{"_230":305,"_232":306,"_234":-5},{"_230":303,"_232":304,"_234":-5},{"_230":301,"_232":302,"_234":-5},{"_230":299,"_232":300,"_234":-5},{"_230":297,"_232":298,"_234":-5},{"_230":295,"_232":296,"_234":-5},{"_230":293,"_232":294,"_234":-5},{"_230":291,"_232":292,"_234":-5},{"_230":289,"_232":290,"_234":-5},{"_230":287,"_232":288,"_234":-5},{"_230":285,"_232":286,"_234":-5},{"_230":283,"_232":284,"_234":-5},{"_230":281,"_232":282,"_234":-5},{"_230":279,"_232":280,"_234":-5},{"_230":277,"_232":278,"_234":-5},{"_230":275,"_232":276,"_234":-5},{"_230":273,"_232":274,"_234":-5},{"_230":271,"_232":272,"_234":-5},{"_230":269,"_232":270,"_234":-5},{"_230":267,"_232":268,"_234":-5},{"_230":265,"_232":266,"_234":-5},{"_230":263,"_232":264,"_234":-5},{"_230":261,"_232":262,"_234":-5},{"_230":259,"_232":260,"_234":-5},{"_230":257,"_232":258,"_234":-5},{"_230":255,"_232":256,"_234":-5},{"_230":253,"_232":254,"_234":-5},{"_230":251,"_232":252,"_234":-5},{"_230":249,"_232":250,"_234":-5},{"_230":247,"_232":248,"_234":-5},{"_230":245,"_232":246,"_234":-5},{"_230":243,"_232":244,"_234":-5},{"_230":241,"_232":242,"_234":-5},{"_230":239,"_232":240,"_234":-5},{"_230":237,"_232":238,"_234":-5},{"_230":235,"_232":236,"_234":-5},{"_230":231,"_232":233,"_234":-5},"code","KS124DQ6JX0NX9DBFDM8","value","R (Programming Language)","proficiency","KS1222C6WKYWRKRXQCR0","Version Control","KS120NP6J9YGDMN22JGF","Computer Vision","KS126XH6P88H3G6N5DC8","Named Entity Recognition","KS122VN73RX0QR6GMDHV","Design of Experiments (DOE)","KS1251W5YWWBQML40R1V","Contextual Image Classification","KS12490646TV95FV38YV","Generalized Linear Model","KS122FY6WSY43JFFK85L","Course Evaluations","KS125F678LV2KB3Z5XW0","Problem Solving","KS1281N6YRB0FN640PH8","Probability","KS1275V6DZ2L59VVKR17","Object Detection","KS124X068YJ0G5QD5LSZ","Statistical Hypothesis Testing","KS4403G6XNX5KJSD906W","Risk Analysis","ESE964A5C87B5F70631B","Knowledge Transfer","KS440Y87796WPP7W46RT","Statistical Methods","KSFHF2FU8HN39495VYLU","Keras (Neural Network Library)","KSWXHT30GQY9B4QSXC5O","PyTorch (Machine Learning Library)","KS120BV6SR75RBKQH0G3","Artificial Intelligence","KS84HIMR36V633XYJN41","Top Secret-Sensitive Compartmented Information (TS/SCI Clearance)","KS124RX787SQ1WVD8XF6","Scalability","KS440W865GC4VRBW6LJP","SQL (Programming Language)","ES5028D950B5137C3970","Frontline Decision-Making Autonomy","KSBZ9LW988KC56I219SP","Deep Learning","ES1AE014948D7C1AD5AD","Data Lakes","KS1233M63SVPP09YJQ37","Document Layout Analysis","KS1228M5YLL3CMH7F73K","Confidence Intervals","KSQPGV2XZO8UMNCC49LK","Detail Oriented","ESC62426E0D4503DA9ED","Data Preprocessing","KS7G41N6SN051XQJY5ST","Autodesk Mechanical Desktop","KS2GHRCYA6TRT29F1HOO","TensorFlow","KS1261Z68KSKR1X31KS3","Machine Learning","KS440Y975RD841M02V3S","Statistics","KS120M36164Y2LMZ1NKC","Optical Character Recognition (OCR)","KS125V06L9Q2LBJ1NPT9","Survival Analysis","ES2FF46EB7E3CD026AFA","Transformer (Machine Learning Model)","KS125LS6N7WP4S6SFTCK","Python (Programming Language)","ESBF2963BF2E21ED452D","Schema Markup","KSQQSY7DG7KE6EUJGXS9","Feature Extraction","KS441DK70RM6XLJ3P36X","Time Series","ES3E3F105B1EE086F936","Residual Networks (ResNet)","KS440Y66QZ713RJ4FQCH","Statistical Modeling","ESA91D8112EB9ECA3570","Git (Version Control System)","KS441NV70T1YBCZ3ZY0G","Unstructured Data","KS1253Y5YTQ174LPH6WF","Statistical Inference","KS122556LMQ829GZCCRV","Communication","KS7TABKEAFQW9IJO1X53","Post Processing","KS7LO8P3MXB93R3C9RWL","Data Science","ES705D6A8AB8CBD5A530","Applied Statistics","KS123RH5XSDNMXJPM4KR","Exploratory Data Analysis","KS7GT1F0QQOV7R7VGXQL","Feature Engineering","KS123RB65VYS69WB3D65","Experimentation","KS1241P6PXRCKTDSWHTV","Forecasting","KS440XG653B0ZK3926JF","Stakeholder Engagement","ES899BA440FA3441F22A","Workflow Management","KS1272Y6RFNZKNGWDWMB","NoSQL","KS122QK6TH01FWQ9X8CH","Relational Databases","lat",38.9016401,"lon",-77.4587239,{"_36":37,"_38":39,"_40":41,"_44":45,"_46":47,"_50":51,"_353":-5,"_23":54,"_19":20,"_68":28,"_73":28,"_354":-5,"_62":63,"_60":61,"_84":85,"_88":89,"_90":91,"_92":93,"_113":114,"_80":81,"_357":374,"_132":133,"_138":375,"_360":376},{"_36":351,"_38":352,"_40":41,"_44":45,"_46":47,"_50":51,"_353":-5,"_23":54,"_19":20,"_68":28,"_73":28,"_354":-5,"_62":355,"_60":356,"_84":85,"_88":89,"_90":91,"_92":93,"_113":114,"_80":81,"_357":358,"_132":133,"_138":359,"_360":361},"629f1d92a614916d4fe30e6591e1d8be556fbd75","data-science-ai-statistical-629f1d92","logoUrl","isFavorited","2026-09-09T00:00:00Z","2026-09-22T13:06:40.441Z","groupCityNames",[54],{"_140":369,"_142":370,"_144":371,"_146":372},"bricks",[362,363],{"_364":368,"_366":367},{"_364":365,"_366":367},"content","$160,001.00","variant","gray","Full-Time",{"_154":155,"_156":157,"_158":81,"_159":160,"_161":162,"_163":164,"_165":70,"_166":167},{"_90":91,"_153":93},{"_148":149,"_150":28,"_151":373},"This full-time onsite role in Chantilly, VA pays $160K–$200K annually. You’ll build AI models for images, documents, and stats while needing a security clearance and 5+ years of experience.","Requires 5+ years in data science/ML or 3+ with a master’s/0 with a PhD; Python/R, deep learning, and OCR experience mandatory.",[54],{"_140":379,"_142":380,"_144":381,"_146":147},[377,378],{"_364":368,"_366":367},{"_364":365,"_366":367},{"_154":155,"_156":157,"_158":81,"_159":160,"_161":162,"_163":164,"_165":70,"_166":167},{"_90":91,"_153":93},{"_148":149,"_150":28,"_151":152},"preloadedState",{"_417":418,"_419":420,"_421":422,"_423":424},"session",{"_416":28},"learnerProfile","statsigUser",{"_407":408,"_409":-7,"_410":411,"_412":413},"statsigSSR",{"_403":404,"_405":406},"experimentParams",{"_395":399,"_397":400,"_398":401},"experimentGroups",{"_395":396,"_397":396,"_398":396},"aa_job_details","Control","aa_explore_202608","job_description_positioning",{"_402":396},{"_402":396},{"_402":396},"arm","gates",{},"configs",{},"userID","anonymous","email","custom",{},"customIDs",{"_414":415},"stableID","dev-stable-id-localhost","isAuthenticated","userAndSession",{"_384":521,"_386":-5,"_522":28,"_523":524,"_525":526},"courseSearch",{"_466":467,"_468":449,"_469":470,"_471":449,"_472":-5,"_473":-5,"_474":-5,"_433":28,"_475":28,"_476":-5,"_477":478,"_479":-5,"_480":481,"_482":483,"_484":485},"careerNavigatorSlice",{"_56":450,"_451":34,"_452":453,"_454":455,"_456":70,"_457":70,"_458":-5,"_459":460},"caapCareerSearch",{"_425":28,"_426":34,"_427":428,"_429":430,"_431":432,"_433":28,"_434":-5,"_435":28,"_436":437},"myCareers","searchValue","searchResult",[],"comparisonData",[],"searchFilters",{"_438":439,"_440":34,"_441":34,"_442":443,"_444":445,"_446":447,"_448":449},"isLoading","comparisonError","shouldOpenTray","traitSpecificCareers",{},"selectedHub",[],"selectedEarning","selectedEducation","sortByField","name.keyword","sortOrder","asc","pageSize",10,"from",0,{"_36":461,"_462":463,"_44":464,"_465":34},"locationString","defaultLocation",{"_36":461,"_462":463,"_44":464,"_465":34},"scholarshipLocation",{"_36":461,"_462":463,"_44":464,"_465":34},"loadingLocation","loadingCaapAssessmentResults","caapAssessmentResult","industryPreference",[],"0","name","United States (Default)","nation","highlight","courses",[],"totalCount","filters",{"_486":34,"_487":28,"_488":28,"_489":28,"_490":28,"_491":28,"_492":28,"_493":28,"_494":28,"_495":496,"_497":498,"_499":500,"_501":502,"_503":504,"_505":506,"_507":508,"_509":-5,"_510":28,"_511":512,"_513":449,"_446":514,"_515":516,"_517":518},"activeFiltersCount","filterCounts","appliedFilters","sortInfo","isLoadingMore","error","favoriteCourseIds",[],"lastSearchTimestamp","prefetchedPages",[],"prefetchingPages",[],"prefetchedCourses",{},"searchQuery","withCertificate","isFree","withFreeCertificate","isUniversity","showSavedOnly","isBeginner","isIntermediate","isAdvanced","topLevelSubjects",[],"institutions",[],"subjects",[],"languages",[],"providers",[],"durationBuckets",[],"duration",{"_519":-5,"_520":-5},"language","hasSubtitles","subtitleLanguages",[],"page",20,"sortColumn","created","sortBy","desc","min","max",{"_532":28,"_416":28},"isOnboardingComplete","onboardingResume",{"_530":28,"_531":-5},"emailUpdateModal",{"_527":28,"_528":34,"_529":34},"open","newEmail","password","checked","resumeUrl","oktaChecked"]

Find & Apply For Statistician Jobs in Chantilly, Virginia

Data Science, AI, Statistical Modeling

Data Science, AI, Statistical Modeling