Responsibilities may include:

Analyze problems and determine procedures required to solve technical problems;
Create computer algorithms, data models, and protocols;
Identify new applications of known techniques;
Analyze data, algorithms, and communication protocols using mathematical/statistical methods;
Develop and apply mathematical or computational methods and lines of reasoning;
Design, develop and debug software solutions;
Create and maintain documentation on research processes, analyses and/or the results;
Write logical and accurate technical reports to communicate ideas;
Effectively instruct, mentor, and support the professional development of colleagues in the areas of technical expertise.

Job Summary NSA's Mathematics Research Group conducts world-class mathematical research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC). We are actively seeking mathematicians to join our Mathematics Research Group. The Group focuses on mathematics research in the applications of a wide range of technical areas, including cryptanalysis, cryptography, vulnerability research, machine learning, statistical analysis, machine learning security, network defense, digital forensics, and graph algorithms. In particular, the Mathematics Research Group is seeking candidates with advanced degrees in mathematics and statistics who have research experience in their chosen fields. Applicants with advanced degrees in related fields such as Physics, Computer Science, and Data Science with strong mathematical backgrounds will be considered. The ideal candidate will have experience performing research, either alone or with a team in their area of expertise. The nature of NSA mathematics is highly computational, therefore computer programing/scripting experience in one or more languages will be of great benefit to the ideal candidate. Qualifications The qualifications listed are the minimum acceptable to be considered for the position. Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field. Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses. Relevant experience must be in one or more of the following: the design, development, use, and evaluation of mathematics models, methods, or techniques (for example, algorithm development) to study issues and solve problems. Experience may also include, network engineering, computer science, physics, software engineering, electrical engineering. Leadership experience can count for up to half the experience requirement. SENIOR Entry is with a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience. EXPERT Entry is with a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of experience. Competencies Qualified applicants will have a strong technical background in a computational science discipline (e.g., Mathematics, Statistics, Data or Computer Science) and research experience in mathematical analysis of large data sets. Experience in operational areas is a plus. Exceptional candidates will have experience applying machine learning methods, including but not limited to a subset of deep learning, reinforcement learning, ensemble methods, and large scale graph analytics. Significant programming experience, especially working with large data sets (e.g., Python, Tensorflow, R, Java, C/C++, and/or other data processing frameworks) is preferred. The ideal candidate is someone with excellent problem-solving, communication, and interpersonal skills, who possesses a range of knowledge and experience with:

Applying principles and methods of linear algebra (e.g., vector spaces, matrices, matrix manipulations) to solve complex problems;
Applying the mathematical principles, combinatorial methods or elicitation techniques to determine or calculate the likelihood of outcomes;
Quantifying the likelihood of an event's occurrence;
The scientific principles, methods, and processes used to conduct research studies (e.g., study design, data collection and analysis, and reporting results);
Applying data-analytic techniques to analyze, visualize, and summarize sample data from populations;
Drawing inferences regarding populations based on results from sample data.
Concepts and procedures for applying algorithm design techniques (e.g., data structures, dynamic programming, backtracking, heuristics, and modeling) to design correct, efficient, and implementable algorithms for real-world problems;
Debugging and testing software programs;
Using best programming practices (e.g., appropriate coding standards, algorithm efficiencies, coding documentation);
Using principles, techniques, procedures, and tools that facilitate the development of software applications;
Using software and computer languages and skills (e.

g., writing code, debugging/testing programs, fixing syntax, correcting logic errors, using abstract data types) to develop programs that meet technical requirements

Pay, Benefits, & Work Schedule Pay:

Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Salary Range:

$132,751

$197,200 (Senior, Expert) Salary range varies by location, work level, and relevant experience to the position.

Training will be provided based on the selectee's needs and experience.

Benefits:

NSA offers a comprehensive benefits package.

Work Schedule:

This is a full-time position, Monday

Friday, with basic 8hr/day work requirement between 6:00 a.

m. and 6:00 p.m. (flexible).

DCIPS Trial Period:

If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable. Before finalizing your appointment at the conclusion of your trial period, NSA will determine whether your continued employment advances the public interest. This decision will be based on factors such as your performance and conduct; the Agency's needs and interests; whether your continued employment would advance the Agency's organizational goals; and whether your continued employment would advance the efficiency of the Federal service. Upon completion of your trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. If you do not receive certification for continued employment, you should receive written notice prior to the end of your trial period that your employment will be terminated and the effective date of such termination. How to apply Apply soonest, as job postings can close earlier than stated end dates due to changes in requirements. It is important to review and note the minimum qualifications, as only those applicants who meet the required qualifications will be contacted to continue the employment process. Please populate the resume tool to showcase any relevant work experience and education related to the position and answer any applicable screening questions. Information collected will be used to determine eligibility, and failure to provide accurate information may result in disqualification for this position. A confirmation email will be sent after submission of the first application and also after any future updates to submitted applications.

Due to time sensitive communications regarding applications, please ensure your spam filters are configured to accept email from noreply@intelligencecareers.gov. For job vacancies that include stated testing requirements, also include the following: @uwe.nsa.gov, @nsa.gov, and @pearson.com
U.

S. Citizenship is required for all applicants. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph. NSA is committed to providing reasonable accommodations to qualified applicants with disabilities during the application and hiring process. The following four narrative questions provide an opportunity for you to highlight your dedication to public service for the hiring manager and agency leadership (or designee(s)). While your responses are not required and will not be scored, we encourage you to thoughtfully address each question. Please provide a response of 200 words or less to each question. You will be asked to certify that you are using your own words and did not use a consultant or artificial intelligence (AI) such as a large language model (LLM) like ChatGPT or Copilot. (Please attach in application) 1. How has your commitment to the Constitution and the founding principles of the United States inspired you to pursue this role within the Federal government? Provide a concrete example from professional, academic, or personal experience. 2. In this role, how would you use your skills and experience to improve government efficiency and effectiveness? Provide specific examples where you improved processes, reduced costs, or improved outcomes. 3. How would you help advance the President's Executive Orders and policy priorities in this role? Identify one or two relevant Executive Orders or policy initiatives that are significant to you, and explain how you would help implement them if hired. 4. How has a strong work ethic contributed to your professional, academic or personal achievements? Provide one or two specific examples, and explain how those qualities would enable you to serve effectively in this position. DCIPS Disclaimer

VETERANS AND TRANSITIONING SERVICE MEMBERS
Thank you for your service!

The National Security Agency (NSA) is part of the Defense Civilian Intelligence Personnel System (DCIPS). All positions at NSA are in the Excepted Service under Title 10, United States Codes (U.S.C.), Section 1601 appointment authority. Veterans' Preference In accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, \"

DoD Civilian Personnel Management System:

Defense Civilian Intelligence Personnel System Employment and Placement,\" NSA applies veterans' preference, as defined by Section 2108 of Title 5, U.S.C., to eligible candidates. If you are claiming veterans' preference, you are required to provide acceptable documentation of your preference eligibility upon application.

Acceptable documentation includes:

DD-214: \"Certificate of Release or Discharge from Active Duty,\" which shows dates of service and discharge under honorable conditions (Copy 4); OR

•

Certification of Service:

A written document on letterhead from the appropriate branch of the armed forces that certifies the service member is expected to be discharged or released from active duty service in the armed forces under honorable conditions not later than 120 days after the date the certification is signed. The certification should include the military service dates, including the expected discharge or release date; AND

Standard Form 15 (SF-15) Application for 10-point Veteran Preference (http://www.opm.gov/forms/pdf_fill/sf15.pdf). If you are claiming a service-connected disability of 30 percent or more, the documentation you provide must specifically demonstrate this level of disability; AND
VA Letter of Disability (for 10pt and Sole Survivorship rating) You may obtain a letter from the Department of Veterans Affairs reflecting your level of disability for preference eligibility by visiting a VA Regional Office, contacting a VA call center, or online (https://www.ebenefits.va.gov/).
Failure to provide sufficient documentation of veterans' preference eligibility may preclude NSA from identifying you as a preference eligible candidate during the hiring selection process.

","accountId","39040753","National Security Agency","https://www.indeed.com/viewjob?jk=7e09d315333dc13d","location",{"_579":580,"_581":582},"createdAt","2026-07-23T15:30:24.437669363Z","2026-08-12T13:17:06.574Z","2026-07-19T00:00:00Z","2026-09-12T00:00Z","status","active","isDiscoverable","isSearchable","isSpotlight","isDraft","careerSkills",[390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451],"requiredEducation","4_college","benefitCategories",[389],164975,"isEmailRequired","isPhoneRequired","titleSearch","Applied Mathematicians","wage10thPercentileHourly",30.703846153846154,"wage30thPercentileHourly",35.708653846153844,"wage50thPercentileHourly",40.49423076923077,"growthRateFiveYear",0.0387,"payGrowthScore",86.87403627901598,"jobSecurityScore",48.20571817649705,"compositeScore",67.53987722775652,"compositeLowConfidence","county","24003","state","24","citySlug","fort-meade","stateSlug","md","occupationSlug","mathematician","/technology/mathematician/md/fort-meade","careerAreaSlug",[388],"eduLevelsName",[325],"lotCareerAreaName",[387],"lotOccupationName",[386],"lotSpecializedOccupation",[385],"minYearsExperience","9","isCanonical","canonicalSlug","canonicalSitemapPath","groupLocations",[381],{"_93":377,"_95":378},{"_120":66},{"_117":379,"_97":24,"_98":380},6,"The posting requires at least a bachelor’s degree plus 6 years of experience (Senior entry) or more, so it is not entry‑level; a preferred advanced degree is noted but does not disqualify.",{"_382":231,"_350":355,"_383":300,"_35":301,"_51":24,"_45":384,"_67":358},"city","jobId","https://www.glassdoor.com/job-listing/applied-research-mathematician-generative-ai-national-security-agency-JV_IC1165756_KO0,44_KE45,69.htm?jl=1010203997443","23111610","Mathematician","Technology","technology","education_career_development",{"_452":577,"_454":578,"_456":-5},{"_452":575,"_454":576,"_456":-5},{"_452":573,"_454":574,"_456":-5},{"_452":571,"_454":572,"_456":-5},{"_452":569,"_454":570,"_456":-5},{"_452":567,"_454":568,"_456":-5},{"_452":565,"_454":566,"_456":-5},{"_452":563,"_454":564,"_456":-5},{"_452":561,"_454":562,"_456":-5},{"_452":559,"_454":560,"_456":-5},{"_452":557,"_454":558,"_456":-5},{"_452":555,"_454":556,"_456":-5},{"_452":553,"_454":554,"_456":-5},{"_452":551,"_454":552,"_456":-5},{"_452":549,"_454":550,"_456":-5},{"_452":547,"_454":548,"_456":-5},{"_452":545,"_454":546,"_456":-5},{"_452":543,"_454":544,"_456":-5},{"_452":541,"_454":542,"_456":-5},{"_452":539,"_454":540,"_456":-5},{"_452":537,"_454":538,"_456":-5},{"_452":535,"_454":536,"_456":-5},{"_452":533,"_454":534,"_456":-5},{"_452":531,"_454":532,"_456":-5},{"_452":529,"_454":530,"_456":-5},{"_452":527,"_454":528,"_456":-5},{"_452":525,"_454":526,"_456":-5},{"_452":523,"_454":524,"_456":-5},{"_452":521,"_454":522,"_456":-5},{"_452":519,"_454":520,"_456":-5},{"_452":517,"_454":518,"_456":-5},{"_452":515,"_454":516,"_456":-5},{"_452":513,"_454":514,"_456":-5},{"_452":511,"_454":512,"_456":-5},{"_452":509,"_454":510,"_456":-5},{"_452":507,"_454":508,"_456":-5},{"_452":505,"_454":506,"_456":-5},{"_452":503,"_454":504,"_456":-5},{"_452":501,"_454":502,"_456":-5},{"_452":499,"_454":500,"_456":-5},{"_452":497,"_454":498,"_456":-5},{"_452":495,"_454":496,"_456":-5},{"_452":493,"_454":494,"_456":-5},{"_452":491,"_454":492,"_456":-5},{"_452":489,"_454":490,"_456":-5},{"_452":487,"_454":488,"_456":-5},{"_452":485,"_454":486,"_456":-5},{"_452":483,"_454":484,"_456":-5},{"_452":481,"_454":482,"_456":-5},{"_452":479,"_454":480,"_456":-5},{"_452":477,"_454":478,"_456":-5},{"_452":475,"_454":476,"_456":-5},{"_452":473,"_454":474,"_456":-5},{"_452":471,"_454":472,"_456":-5},{"_452":469,"_454":470,"_456":-5},{"_452":467,"_454":468,"_456":-5},{"_452":465,"_454":466,"_456":-5},{"_452":463,"_454":464,"_456":-5},{"_452":461,"_454":462,"_456":-5},{"_452":459,"_454":460,"_456":-5},{"_452":457,"_454":458,"_456":-5},{"_452":453,"_454":455,"_456":-5},"code","KS124DQ6JX0NX9DBFDM8","value","R (Programming Language)","proficiency","KS4400Z66ZPBYGSKVLTV","Research Experiences","KS1226Y6DNDT05G7FJ4J","Computer Science","KS441Y066Y2V9D27P22G","Vulnerability Management","ES2BB25DB544B26CD7AA","ChatGPT","KSUN4DULOE3WIWQIFL94","Dynamic Programming","LCSIT66E9WHFHQD0Q89Q","Applied Machine Learning","KS4425C7820LCHZS7VGX","Writing","KS121ZZ77NBG04MNWNQQ","Clinical Study Design","KS125F678LV2KB3Z5XW0","Problem Solving","KS120BV6SR75RBKQH0G3","Artificial Intelligence","ESDF7DB6C1672A20E380","Computer Languages","KS440Y87796WPP7W46RT","Statistical Methods","KS122Q26BWQ1PK3Y74C0","Data Structures","ES80E93EF8629D5C793C","Complex Problem Solving","KS7G0C36YW29VS8KPC05","Scripting","KS122NR6NY1KB0TD40G4","Data Collection","KS122MK65TBR6RDBZL1P","Cyber Security","KS127TD6X5C909DYQ765","Physics","KS440QS66YCBN23Y8K25","Software Engineering","KS120GV6C72JMSZKMTD7","Data Analysis","KSBZ9LW988KC56I219SP","Deep Learning","KS125VF76P4FXDVFFBPJ","Linear Algebra","KS2GHRCYA6TRT29F1HOO","TensorFlow","KS122596D5ZSN1537KSW","Communications Protocols","KS1261Z68KSKR1X31KS3","Machine Learning","KS126715Z9S8GQS26C32","Mathematical Analysis","KS440Y975RD841M02V3S","Statistics","ESE15CC456BBE39C7196","Strong Work Ethic","KS126706DPFD3354M7YK","Mathematics","KS4LL1EBNO7YQ6BSVNIW","Reinforcement Learning","KS124JB619VXG6RQ810C","Leadership","KS126Z96STZD3JX27V02","Network Engineering","KS125LS6N7WP4S6SFTCK","Python (Programming Language)","KS1253H61TTR1FZWSRH4","Innovation","ES2DCA677488DDF61152","Large Language Modeling","KS1224L71B08VW93YR8S","Signals Intelligence","ES621714B943488C07C8","Generative Artificial Intelligence","KS1259D6L30YYG3XR3VL","Interpersonal Communications","KS123GB6G4TGS12GZH1F","Email Filtering","KS120LK6F82V89VT9717","Applied Research","ES665E24CD3C689EAD3D","Advanced Mathematics","KS120D976LFGP57NKY7P","Algorithm Design","KS7LO8P3MXB93R3C9RWL","Data Science","KS1227G66P02RR405S78","Data Processing","BGSB4E1D5CA81759D758","Statistical Analysis","KS2B8SNCNEC5J09WLFP7","Cryptanalysis","KS122YG760DVCXPRHHJ6","Digital Forensics","KS120LH6DHTBJYVLFKB3","Electrical Engineering","ESB3C965DAF0075A5C19","Ensemble Methods","KS120D96FHL88PZDKZKH","Algorithms","KS122PM76DCYL9WC89Y7","Data Modeling","ESB13CB1EF6E7151141A","Technical Requirements","KS122556LMQ829GZCCRV","Communication","KS124GX72D77Z1VDJ28D","Graph Algorithms","KS4414Y63W010ZY9XS8H","Syntax","KS1203C6N9B52QGB4H67","Research","KS122JY6L949K25JM9B7","Cryptography","KS120356T1XXC7HZSYP2","Abstract Data Types","KS122SG5Y0Q5YQM7V8KT","Debugging","KS1219W70LY1GXZDSKW5","C++ (Programming Language)","KS1200364C9C1LK3V5Q1","C (Programming Language)","lat",39.1042635,"lon",-76.7342399,"preloadedState",{"_1041":1042,"_1043":1044,"_1045":1046,"_1047":1048},{"_1040":24},"learnerProfile","statsigBootstrap","{\"feature_gates\":{\"1051929575\":{\"name\":\"1051929575\",\"rule_id\":\"4ACRYZQATYyYM9xw8AHTGL\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3076862121\":{\"name\":\"3076862121\",\"rule_id\":\"2Vi9QHWxRTvJks783IVVP9:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1608580799\":{\"name\":\"1608580799\",\"rule_id\":\"30LXAjGMh8uhuKSQOjw9Zd\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1685639577\":{\"name\":\"1685639577\",\"rule_id\":\"7Hp9WvDxtXp0NERAI0bDjc\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1809849743\":{\"name\":\"1809849743\",\"rule_id\":\"5UE13Dq1imLgbmI6SrW4st\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3557635766\":{\"name\":\"3557635766\",\"rule_id\":\"66l0cE7Hp6bz3AxGzkJ52C:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3039458390\":{\"name\":\"3039458390\",\"rule_id\":\"5SrGI7sriLb49nW9jenfem:100.00:3\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3381168580\":{\"name\":\"3381168580\",\"rule_id\":\"1s0tvbCO5ioqg4eXSJDK4e:50.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1013876983\":{\"name\":\"1013876983\",\"rule_id\":\"5UcYisherysXy4aYLnIrrR\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"2391574571\":{\"name\":\"2391574571\",\"rule_id\":\"4Oeii4dEa0qgQbnaLeWpVm\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"452380100\":{\"name\":\"452380100\",\"rule_id\":\"51rJLN7FbcDF8U8DnxSsz0\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3176969473\":{\"name\":\"3176969473\",\"rule_id\":\"3Dr83mVC42ZvIRZcMRhvrf\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1235551158\":{\"name\":\"1235551158\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3315981121\":{\"name\":\"3315981121\",\"rule_id\":\"4HHokWdZWryp2PFtEo6Ebv:0.00:3\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3005498566\":{\"name\":\"3005498566\",\"rule_id\":\"3c8yBFeqU12a5ymtsUyebQ\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"357169355\":{\"name\":\"357169355\",\"rule_id\":\"3cbU3U7ySOFEXeDp2YVMTo\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"621936954\":{\"name\":\"621936954\",\"rule_id\":\"5arib1ssfs8Zqr1c2kDQTY:100.00:3\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"4068263545\":{\"name\":\"4068263545\",\"rule_id\":\"736g712OYDBE9Wt0TiEoE6:100.00:9\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"2939121896\":{\"name\":\"2939121896\",\"rule_id\":\"4QTA5VIW8QWhxfDAjlO4av:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"827105181\":{\"name\":\"827105181\",\"rule_id\":\"1ZOyF3jNBpxgYwnQMgtw0r:0.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1867875410\":{\"name\":\"1867875410\",\"rule_id\":\"1KDJU0Z08247rkTLR5qpS8:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"2964530023\":{\"name\":\"2964530023\",\"rule_id\":\"1GmwZwWEuC5BBqZz9mqKNG:0.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"2679797355\":{\"name\":\"2679797355\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"512472402\":{\"name\":\"512472402\",\"rule_id\":\"3hAm10p9ACCkukn5bzuqqn\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"88647992\":{\"name\":\"88647992\",\"rule_id\":\"7Bq6Yr0VObhI533YiKSH4g:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"2191373427\":{\"name\":\"2191373427\",\"rule_id\":\"1N0Cce1uwb3QZltlw5F48y:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1865400435\":{\"name\":\"1865400435\",\"rule_id\":\"3psH6NhgLYCK9ZjgvAjzAm\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"4139579230\":{\"name\":\"4139579230\",\"rule_id\":\"RbpkdeQQy7MYwZsfMnq5l:0.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"2873377340\":{\"name\":\"2873377340\",\"rule_id\":\"1BSuj1ZkoN7dO8TTiB9RCf\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"419022013\":{\"name\":\"419022013\",\"rule_id\":\"6Fu8B8MX4MQjmq32PUdd7E:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"4212168725\":{\"name\":\"4212168725\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1551224207\":{\"name\":\"1551224207\",\"rule_id\":\"Evv169XZO4Lpdqvg5Td7P:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3925450214\":{\"name\":\"3925450214\",\"rule_id\":\"d2UuNqbLF1sea9LVvShlS:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"612239029\":{\"name\":\"612239029\",\"rule_id\":\"69XSFMJl2CEpaAeAbRUFtB\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3984815646\":{\"name\":\"3984815646\",\"rule_id\":\"7an3Kzm1Uz9oCin2zzMd3v:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1896186400\":{\"name\":\"1896186400\",\"rule_id\":\"qt72B0rkWi96bpCMXIpcg\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1736670698\":{\"name\":\"1736670698\",\"rule_id\":\"2Ji5m1q9wJv0gi0M9VnsCF\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1579488973\":{\"name\":\"1579488973\",\"rule_id\":\"6sBW4R11t0ICNaOywRdTNs\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3133954998\":{\"name\":\"3133954998\",\"rule_id\":\"ihLqSao0W7EJoaULoKLWB:100.00:1\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"1988463243\":{\"name\":\"1988463243\",\"rule_id\":\"5uOAYlehvTQApItuBDrlIp:100.00:2\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":true},\"3702157961\":{\"name\":\"3702157961\",\"rule_id\":\"49VCRQzU3V4TVyAsQy0XmP:0.00:6\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"3712733927\":{\"name\":\"3712733927\",\"rule_id\":\"1gWHYV1nPTxU1iQWBzt7sH\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"15146329\":{\"name\":\"15146329\",\"rule_id\":\"6QA1Bdf3RtMstSQa9UIUvY\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1212282567\":{\"name\":\"1212282567\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false},\"1660322309\":{\"name\":\"1660322309\",\"rule_id\":\"1lxCXwbeeEdg8DJbuL2Xsw\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":false}},\"dynamic_configs\":{\"2811707873\":{\"name\":\"2811707873\",\"rule_id\":\"1qB3cKolYTho7KCZitHlbv:100.00:5-1qAYSILd5gXFsDKMwDP8LX\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"version\":\"2.0\",\"layout\":{\"id\":\"profile_layout_v2\",\"feature_flag\":\"profile_layout_v2\",\"section_groups\":[{\"title\":\"Personal\",\"sections\":[{\"id\":\"bio_card\",\"type\":\"bio_card\",\"order\":1,\"component\":\"BioCardV2\",\"config\":{\"title\":\"Bio\",\"screenName\":\"profile__bio\",\"fields\":[{\"id\":\"bio_text\",\"type\":\"text\",\"value\":\"\",\"textType\":\"regular16\",\"color\":\"secondary\"}]}},{\"id\":\"interests_card\",\"type\":\"interests_card\",\"order\":2,\"component\":\"InterestsCardV2\",\"config\":{\"title\":\"Interests\",\"screenName\":\"profile__interests\",\"fields\":[{\"id\":\"industry_interests\",\"type\":\"badge_group\",\"title\":\"Industry Interests\",\"textType\":\"header3\",\"badgeColor\":\"purple-200\",\"items\":[]},{\"id\":\"career_interests\",\"type\":\"badge_group\",\"title\":\"Career Interests\",\"badgeColor\":\"coral-200\",\"items\":[]}]}},{\"id\":\"skills_languages_card\",\"type\":\"skills_languages_card\",\"order\":3,\"component\":\"SkillsLanguagesCardV2\",\"config\":{\"title\":\"Skills & Languages\",\"screenName\":\"profile__skills_languages\",\"fields\":[{\"id\":\"skills\",\"type\":\"badge_group\",\"title\":\"Skills\",\"badgeColor\":\"green-300\",\"items\":[]},{\"id\":\"languages\",\"type\":\"badge_group\",\"title\":\"Languages\",\"badgeColor\":\"blue-300\",\"items\":[]}]}},{\"id\":\"education_card\",\"type\":\"education_card\",\"order\":4,\"component\":\"EducationCardV2\",\"config\":{\"title\":\"Education\",\"screenName\":\"profile__education\",\"fields\":[{\"id\":\"education_items\",\"type\":\"list_item\",\"items\":[]}]}},{\"id\":\"experience_card\",\"type\":\"experience_card\",\"order\":5,\"component\":\"ExperienceCardV2\",\"config\":{\"title\":\"Experience\",\"screenName\":\"profile__experience\",\"fields\":[{\"id\":\"experience_items\",\"type\":\"list_item\",\"items\":[]}]}},{\"id\":\"activities_card\",\"type\":\"activities_card\",\"order\":6,\"component\":\"ActivitiesCardV2\",\"config\":{\"title\":\"Activities\",\"screenName\":\"profile__activities\",\"fields\":[{\"id\":\"activities_items\",\"type\":\"list_item\",\"items\":[]}]}},{\"id\":\"accomplishments_card\",\"type\":\"accomplishments_card\",\"order\":7,\"component\":\"AccomplishmentsCardV2\",\"config\":{\"title\":\"Accomplishments\",\"screenName\":\"profile__accomplishments\",\"fields\":[{\"id\":\"accomplishments_items\",\"type\":\"list_item\",\"items\":[]}]}}]}]},\"themes\":{\"default\":{\"spacing\":{\"card_gap\":16,\"section_padding\":20},\"colors\":{\"background\":\"#FFFFFF\",\"card_background\":\"#FFFFFF\",\"primary_text\":\"#000000\",\"secondary_text\":\"#666666\"}}}},\"is_device_based\":false,\"passed\":true},\"4194336348\":{\"name\":\"4194336348\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"treatment\":\"beta\"},\"is_device_based\":false,\"passed\":false},\"3559441793\":{\"name\":\"3559441793\",\"rule_id\":\"3iv7Qwu4KrgWC4rbIUZdvM-3iv7QuP2i97siETg7N3AcK\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"version\":\"1.0\",\"feature_flag\":\"profile_edit_v2\",\"treatment\":\"alpha\",\"layout\":{\"location\":{\"alpha\":{\"title\":\"Update Status\",\"screenHeader\":\"Update Status\",\"fields\":[{\"type\":\"text\",\"key\":\"location\",\"label\":\"Location\",\"placeholder\":\"Enter your location\"}]},\"beta\":{\"screenHeader\":\"Update Location\",\"fields\":[{\"type\":\"text\",\"key\":\"location\",\"label\":\"Location\",\"placeholder\":\"Enter your location\"}]}},\"bio\":{\"alpha\":{\"title\":\"Update Bio\",\"screenHeader\":\"Update Bio\",\"fields\":[{\"type\":\"text\",\"key\":\"bio\",\"label\":\"Bio\",\"placeholder\":\"Enter your bio\"}]},\"beta\":{\"screenHeader\":\"Update Bio Beta\",\"fields\":[{\"type\":\"text\",\"key\":\"bio\",\"label\":\"Bio\",\"placeholder\":\"Enter your bio\"}]}},\"interests\":{\"alpha\":{\"title\":\"Update Interests\",\"screenHeader\":\"Update Interests\",\"fields\":[{\"type\":\"text\",\"key\":\"interests\",\"label\":\"Interests\",\"placeholder\":\"Enter your interests\"}]},\"beta\":{\"screenHeader\":\"Update Interests\",\"fields\":[{\"type\":\"text\",\"key\":\"interests\",\"label\":\"Interests\",\"placeholder\":\"Enter your interests\"}]}},\"skillsLanguages\":{\"alpha\":{\"title\":\"Update Skills & Languages\",\"screenHeader\":\"Update Skills & Languages\",\"fields\":[{\"type\":\"text\",\"key\":\"skillsLanguages\",\"label\":\"Skills & Languages\",\"placeholder\":\"Enter your skills & languages\"}]},\"beta\":{\"screenHeader\":\"Update Skills & Languages\",\"fields\":[{\"type\":\"text\",\"key\":\"skillsLanguages\",\"label\":\"Skills & Languages\",\"placeholder\":\"Enter your skills & languages\"}]}},\"education\":{\"alpha\":{\"title\":\"Update Education\",\"screenHeader\":\"Update Education\",\"fields\":[{\"type\":\"text\",\"key\":\"education\",\"label\":\"Education\",\"placeholder\":\"Enter your education\"}]},\"beta\":{\"screenHeader\":\"Update Education\",\"fields\":[{\"type\":\"text\",\"key\":\"education\",\"label\":\"Education\",\"placeholder\":\"Enter your education\"}]}},\"experience\":{\"alpha\":{\"title\":\"Update Experience\",\"screenHeader\":\"Update Experience\",\"fields\":[{\"type\":\"text\",\"key\":\"experience\",\"label\":\"Experience\",\"placeholder\":\"Enter your experience\"}]},\"beta\":{\"screenHeader\":\"Update Experience\",\"fields\":[{\"type\":\"text\",\"key\":\"experience\",\"label\":\"Experience\",\"placeholder\":\"Enter your experience\"}]}},\"activities\":{\"alpha\":{\"title\":\"Add Activity\",\"screenHeader\":\"Add Activity\",\"fields\":[{\"type\":\"text\",\"key\":\"activities\",\"label\":\"Activities\",\"placeholder\":\"Enter your activities\"}]},\"beta\":{\"screenHeader\":\"Add Activity\",\"fields\":[{\"type\":\"text\",\"key\":\"activities\",\"label\":\"Activities\",\"placeholder\":\"Enter your activities\"}]}},\"accomplishments\":{\"alpha\":{\"title\":\"Update Accomplishments\",\"screenHeader\":\"Update Accomplishments\",\"fields\":[{\"type\":\"text\",\"key\":\"accomplishments\",\"label\":\"Accomplishments\",\"placeholder\":\"Enter your accomplishments\"}]}},\"beta\":{\"screenHeader\":\"Update Accomplishments\",\"fields\":[{\"type\":\"text\",\"key\":\"accomplishments\",\"label\":\"Accomplishments\",\"placeholder\":\"Enter your accomplishments\"}]}}},\"is_device_based\":false,\"passed\":true},\"151910433\":{\"name\":\"151910433\",\"rule_id\":\"3Rd1Ri5XBQIglfMEwjIkG7:100.00:3-3Rd1RgqV9yyM1QeIVbMHn5\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"createPost\":{\"id\":\"create_post\",\"component\":\"create_post\",\"order\":1},\"feedSelect\":{\"id\":\"feed_select\",\"component\":\"feed_select\",\"order\":2},\"newsFeed\":{\"id\":\"news_feed\",\"component\":\"news_feed\",\"order\":3}},\"is_device_based\":false,\"passed\":true},\"2431912394\":{\"name\":\"2431912394\",\"rule_id\":\"prestart\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{},\"is_device_based\":false,\"is_experiment_active\":false,\"is_user_in_experiment\":false},\"4044382156\":{\"name\":\"4044382156\",\"rule_id\":\"1OE6OllbaUoNF7xuo9O3B7:100.00:2-1OE6OjG8ICfjlHZyN1Sqi5\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"storyFeed\":{\"id\":\"story_feed\",\"component\":\"story_feed\",\"order\":1,\"enabled\":false},\"tipsVideo\":{\"id\":\"tips_video\",\"component\":\"tips_video\",\"order\":2,\"enabled\":false},\"profileProgress\":{\"id\":\"profile_progress\",\"component\":\"profile_progress\",\"order\":3,\"enabled\":true},\"myCareers\":{\"id\":\"my_careers\",\"component\":\"my_careers\",\"order\":4,\"enabled\":true},\"myVibe\":{\"id\":\"my_vibe\",\"component\":\"my_vibe\",\"order\":5,\"enabled\":true},\"newsFeed\":{\"id\":\"news_feed\",\"component\":\"news_feed\",\"order\":6,\"enabled\":true}},\"is_device_based\":false,\"passed\":true},\"3393096890\":{\"name\":\"3393096890\",\"rule_id\":\"ZZuKDQhs76uNu7onAosZR:100.00:2-ZZuKCbeZOX0u4zsMssPGP\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"min_version\":\"1.1.6\"},\"is_device_based\":false,\"passed\":true},\"2400943617\":{\"name\":\"2400943617\",\"rule_id\":\"default\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"colors\":{\"brand\":\"#23395B\",\"white\":\"#FFFFFF\",\"offWhite\":\"#FFF4F42\",\"baseBackground\":\"#fafcff\",\"borderBackground\":\"#e0e0e0\",\"danger\":\"#d12428\",\"success\":\"#02730f\",\"warning\":\"#FCE118\",\"info\":\"#E4F8FF\",\"darkBackground\":\"#010318\",\"lightBackground\":\"#F4F4F4\",\"dark\":\"#202020\",\"altBackground\":\"#9c9c9c\",\"gray\":\"#8a8a8a\",\"gray20\":\"#005807\",\"gray40\":\"#616161\",\"gray70\":\"#797979\",\"transparent\":\"transparent\",\"opaque\":\"rgba(0,0,0,0.1)\",\"forestGreen\":\"#005807\",\"gold\":\"#F2AC1C\",\"lightBlue\":\"#d9e9fc\",\"paceBlue\":\"#CFDEE7\",\"yellow\":\"#fff703\",\"clay\":\"#967D44\"}},\"is_device_based\":false,\"passed\":false},\"558616907\":{\"name\":\"558616907\",\"rule_id\":\"7bUbyVUILCm7wqWqpyi5do-7bUbyUfGjkcDd1ouOqmrUm\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"explore_opportunities\":{\"order\":1,\"component\":\"explore_opportunities\",\"sub_components\":[{\"component\":\"jobs\",\"configs\":{\"id\":1,\"title\":\"Jobs & Internships\",\"listType\":\"jobs\"}},{\"component\":\"careers\",\"configs\":{\"id\":2,\"title\":\"Career Navigator\",\"listType\":\"careers\"}},{\"component\":\"courses\",\"configs\":{\"id\":3,\"title\":\"Courses\",\"listType\":\"courses\"}},{\"component\":\"scholarships\",\"configs\":{\"id\":4,\"title\":\"Scholarships\",\"listType\":\"scholarships\"}}]},\"explore_search\":{\"order\":2,\"component\":\"explore_search\"},\"explore_list\":{\"order\":3,\"component\":\"explore_list\"}},\"is_device_based\":false,\"passed\":true},\"2374213830\":{\"name\":\"2374213830\",\"rule_id\":\"prestart\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{},\"is_device_based\":false,\"is_experiment_active\":false,\"is_user_in_experiment\":false},\"2750779937\":{\"name\":\"2750779937\",\"rule_id\":\"1cPTrX2qRpR15UBnKPMXhe:100.00:2-1cPTrVnop7HwMv3s9HRjYc\",\"secondary_exposures\":[],\"id_type\":\"userID\",\"value\":{\"enabled\":true},\"is_device_based\":false,\"passed\":true}},\"layer_configs\":{},\"time\":1786564332991,\"has_updates\":true,\"hash_used\":\"djb2\",\"user\":{\"userID\":\"291d1d40-ecde-4468-8447-abc2f0563c48\",\"customIDs\":{\"stableID\":\"291d1d40-ecde-4468-8447-abc2f0563c48\"},\"custom\":{\"talloUid\":\"291d1d40-ecde-4468-8447-abc2f0563c48\"},\"statsigEnvironment\":{\"tier\":\"production\"}},\"sdkInfo\":{\"sdkType\":\"statsig-server-core-node\",\"sdkVersion\":\"0.12.1\",\"sessionId\":\"5eb429f7-0da9-47c7-a431-8bb26f91d9d1\"},\"sdkParams\":{},\"evaluated_keys\":{\"stableID\":\"291d1d40-ecde-4468-8447-abc2f0563c48\",\"userID\":\"291d1d40-ecde-4468-8447-abc2f0563c48\"},\"param_stores\":{},\"can_record_session\":true,\"session_recording_rate\":1.0,\"recording_blocked\":false}","statsigUser",{"_625":1028,"_1029":-7,"_1030":1031,"_1032":1033,"_1034":1035},"statsigSSR",{"_593":594,"_595":596},"gates",{"_983":24,"_984":52,"_985":52,"_986":52,"_987":52,"_988":24,"_989":24,"_990":52,"_991":24,"_992":52,"_993":24,"_994":24,"_995":24,"_996":52,"_997":52,"_998":24,"_999":24,"_1000":24,"_1001":24,"_1002":24,"_1003":24,"_1004":52,"_1005":24,"_1006":52,"_1007":52,"_1008":24,"_1009":24,"_1010":24,"_1011":52,"_1012":24,"_1013":24,"_1014":52,"_1015":52,"_1016":52,"_1017":24,"_1018":24,"_1019":52,"_1020":52,"_1021":24,"_1022":24,"_1023":52,"_1024":52,"_1025":52,"_1026":24,"_1027":24},"configs",{"_597":598,"_599":600,"_601":602,"_603":604,"_605":606,"_607":608,"_609":610,"_611":612,"_613":614,"_615":616,"_617":618},"151910433",{"_619":597,"_620":973,"_622":974,"_624":625,"_454":975,"_627":24,"_628":52},"558616907",{"_619":599,"_620":945,"_622":946,"_624":625,"_454":947,"_627":24,"_628":52},"2374213830",{"_619":601,"_620":888,"_622":943,"_624":625,"_454":944,"_627":24,"_891":24,"_892":24},"2400943617",{"_619":603,"_620":621,"_622":893,"_624":625,"_454":894,"_627":24,"_628":24},"2431912394",{"_619":605,"_620":888,"_622":889,"_624":625,"_454":890,"_627":24,"_891":24,"_892":24},"2750779937",{"_619":607,"_620":885,"_622":886,"_624":625,"_454":887,"_627":24,"_628":52},"2811707873",{"_619":609,"_620":767,"_622":768,"_624":625,"_454":769,"_627":24,"_628":52},"3393096890",{"_619":611,"_620":762,"_622":763,"_624":625,"_454":764,"_627":24,"_628":52},"3559441793",{"_619":613,"_620":657,"_622":658,"_624":625,"_454":659,"_627":24,"_628":52},"4044382156",{"_619":615,"_620":631,"_622":632,"_624":625,"_454":633,"_627":24,"_628":52},"4194336348",{"_619":617,"_620":621,"_622":623,"_624":625,"_454":626,"_627":24,"_628":24},"name","rule_id","default","secondary_exposures",[],"id_type","userID",{"_629":630},"is_device_based","passed","treatment","beta","1OE6OllbaUoNF7xuo9O3B7:100.00:2-1OE6OjG8ICfjlHZyN1Sqi5",[],{"_634":635,"_636":637,"_638":639,"_640":641,"_642":643,"_644":645},"storyFeed",{"_33":656,"_647":656,"_648":70,"_649":24},"tipsVideo",{"_33":654,"_647":654,"_648":655,"_649":24},"profileProgress",{"_33":653,"_647":653,"_648":169,"_649":52},"myCareers",{"_33":651,"_647":651,"_648":652,"_649":52},"myVibe",{"_33":650,"_647":650,"_648":118,"_649":52},"newsFeed",{"_33":646,"_647":646,"_648":379,"_649":52},"news_feed","component","order","enabled","my_vibe","my_careers",4,"profile_progress","tips_video",2,"story_feed","3iv7Qwu4KrgWC4rbIUZdvM-3iv7QuP2i97siETg7N3AcK",[],{"_660":661,"_662":663,"_629":664,"_665":666},"version","1.0","feature_flag","profile_edit_v2","alpha","layout",{"_309":667,"_668":669,"_670":671,"_672":673,"_674":675,"_676":677,"_678":679,"_680":681,"_630":682},{"_664":752,"_630":753},"bio",{"_664":742,"_630":743},"interests",{"_664":733,"_630":734},"skillsLanguages",{"_664":724,"_630":725},"education",{"_664":715,"_630":716},"experience",{"_664":706,"_630":707},"activities",{"_664":697,"_630":698},"accomplishments",{"_664":694},{"_683":684,"_685":686},"screenHeader","Update Accomplishments","fields",[687],{"_39":688,"_689":680,"_690":691,"_692":693},"text","key","label","Accomplishments","placeholder","Enter your accomplishments",{"_37":684,"_683":684,"_685":695},[696],{"_39":688,"_689":680,"_690":691,"_692":693},{"_37":699,"_683":699,"_685":704},{"_683":699,"_685":700},"Add Activity",[701],{"_39":688,"_689":678,"_690":702,"_692":703},"Activities","Enter your activities",[705],{"_39":688,"_689":678,"_690":702,"_692":703},{"_37":708,"_683":708,"_685":713},{"_683":708,"_685":709},"Update Experience",[710],{"_39":688,"_689":676,"_690":711,"_692":712},"Experience","Enter your experience",[714],{"_39":688,"_689":676,"_690":711,"_692":712},{"_37":717,"_683":717,"_685":722},{"_683":717,"_685":718},"Update Education",[719],{"_39":688,"_689":674,"_690":720,"_692":721},"Education","Enter your education",[723],{"_39":688,"_689":674,"_690":720,"_692":721},{"_37":726,"_683":726,"_685":731},{"_683":726,"_685":727},"Update Skills & Languages",[728],{"_39":688,"_689":672,"_690":729,"_692":730},"Skills & Languages","Enter your skills & languages",[732],{"_39":688,"_689":672,"_690":729,"_692":730},{"_37":735,"_683":735,"_685":740},{"_683":735,"_685":736},"Update Interests",[737],{"_39":688,"_689":670,"_690":738,"_692":739},"Interests","Enter your interests",[741],{"_39":688,"_689":670,"_690":738,"_692":739},{"_37":749,"_683":749,"_685":750},{"_683":744,"_685":745},"Update Bio Beta",[746],{"_39":688,"_689":668,"_690":747,"_692":748},"Bio","Enter your bio","Update Bio",[751],{"_39":688,"_689":668,"_690":747,"_692":748},{"_37":759,"_683":759,"_685":760},{"_683":754,"_685":755},"Update Location",[756],{"_39":688,"_689":309,"_690":757,"_692":758},"Location","Enter your location","Update Status",[761],{"_39":688,"_689":309,"_690":757,"_692":758},"ZZuKDQhs76uNu7onAosZR:100.00:2-ZZuKCbeZOX0u4zsMssPGP",[],{"_765":766},"min_version","1.1.6","1qB3cKolYTho7KCZitHlbv:100.00:5-1qAYSILd5gXFsDKMwDP8LX",[],{"_660":770,"_665":771,"_772":773},"2.0",{"_33":790,"_662":790,"_791":792},"themes",{"_621":774},{"_775":776,"_777":778},"spacing",{"_786":787,"_788":789},"colors",{"_779":780,"_781":780,"_782":783,"_784":785},"background","#FFFFFF","card_background","primary_text","#000000","secondary_text","#666666","card_gap",16,"section_padding",20,"profile_layout_v2","section_groups",[793],{"_37":794,"_795":796},"Personal","sections",[797,798,799,800,801,802,803],{"_33":875,"_39":875,"_648":70,"_647":876,"_807":877},{"_33":858,"_39":858,"_648":655,"_647":859,"_807":860},{"_33":841,"_39":841,"_648":169,"_647":842,"_807":843},{"_33":833,"_39":833,"_648":652,"_647":834,"_807":835},{"_33":825,"_39":825,"_648":118,"_647":826,"_807":827},{"_33":817,"_39":817,"_648":379,"_647":818,"_807":819},{"_33":804,"_39":804,"_648":805,"_647":806,"_807":808},"accomplishments_card",7,"AccomplishmentsCardV2","config",{"_37":691,"_809":810,"_685":811},"screenName","profile__accomplishments",[812],{"_33":813,"_39":814,"_815":816},"accomplishments_items","list_item","items",[],"activities_card","ActivitiesCardV2",{"_37":702,"_809":820,"_685":821},"profile__activities",[822],{"_33":823,"_39":814,"_815":824},"activities_items",[],"experience_card","ExperienceCardV2",{"_37":711,"_809":828,"_685":829},"profile__experience",[830],{"_33":831,"_39":814,"_815":832},"experience_items",[],"education_card","EducationCardV2",{"_37":720,"_809":836,"_685":837},"profile__education",[838],{"_33":839,"_39":814,"_815":840},"education_items",[],"skills_languages_card","SkillsLanguagesCardV2",{"_37":729,"_809":844,"_685":845},"profile__skills_languages",[846,847],{"_33":854,"_39":849,"_37":855,"_851":856,"_815":857},{"_33":848,"_39":849,"_37":850,"_851":852,"_815":853},"languages","badge_group","Languages","badgeColor","blue-300",[],"skills","Skills","green-300",[],"interests_card","InterestsCardV2",{"_37":738,"_809":861,"_685":862},"profile__interests",[863,864],{"_33":869,"_39":849,"_37":870,"_871":872,"_851":873,"_815":874},{"_33":865,"_39":849,"_37":866,"_851":867,"_815":868},"career_interests","Career Interests","coral-200",[],"industry_interests","Industry Interests","textType","header3","purple-200",[],"bio_card","BioCardV2",{"_37":747,"_809":878,"_685":879},"profile__bio",[880],{"_33":881,"_39":688,"_454":298,"_871":882,"_883":884},"bio_text","regular16","color","secondary","1cPTrX2qRpR15UBnKPMXhe:100.00:2-1cPTrVnop7HwMv3s9HRjYc",[],{"_649":52},"prestart",[],{},"is_experiment_active","is_user_in_experiment",[],{"_777":895},{"_896":897,"_898":780,"_899":900,"_901":902,"_903":904,"_905":906,"_907":908,"_909":910,"_911":912,"_913":914,"_915":916,"_917":918,"_919":920,"_921":922,"_923":924,"_925":926,"_927":928,"_929":929,"_930":931,"_932":924,"_933":934,"_935":936,"_937":938,"_939":940,"_941":942},"brand","#23395B","white","offWhite","#FFF4F42","baseBackground","#fafcff","borderBackground","#e0e0e0","danger","#d12428","success","#02730f","warning","#FCE118","info","#E4F8FF","darkBackground","#010318","lightBackground","#F4F4F4","dark","#202020","altBackground","#9c9c9c","gray","#8a8a8a","gray20","#005807","gray40","#616161","gray70","#797979","transparent","opaque","rgba(0,0,0,0.1)","forestGreen","gold","#F2AC1C","lightBlue","#d9e9fc","paceBlue","#CFDEE7","yellow","#fff703","clay","#967D44",[],{},"7bUbyVUILCm7wqWqpyi5do-7bUbyUfGjkcDd1ouOqmrUm",[],{"_948":949,"_950":951,"_952":953},"explore_opportunities",{"_648":70,"_647":948,"_954":955},"explore_search",{"_648":655,"_647":950},"explore_list",{"_648":169,"_647":952},"sub_components",[956,957,958,959],{"_647":970,"_595":971},{"_647":967,"_595":968},{"_647":964,"_595":965},{"_647":960,"_595":961},"scholarships",{"_33":652,"_37":962,"_963":960},"Scholarships","listType","courses",{"_33":169,"_37":966,"_963":964},"Courses","careers",{"_33":655,"_37":969,"_963":967},"Career Navigator","jobs",{"_33":70,"_37":972,"_963":970},"Jobs & Internships","3Rd1Ri5XBQIglfMEwjIkG7:100.00:3-3Rd1RgqV9yyM1QeIVbMHn5",[],{"_976":977,"_978":979,"_644":980},"createPost",{"_33":982,"_647":982,"_648":70},"feedSelect",{"_33":981,"_647":981,"_648":655},{"_33":646,"_647":646,"_648":169},"feed_select","create_post","15146329","88647992","357169355","419022013","452380100","512472402","612239029","621936954","827105181","1013876983","1051929575","1212282567","1235551158","1551224207","1579488973","1608580799","1660322309","1685639577","1736670698","1809849743","1865400435","1867875410","1896186400","1988463243","2191373427","2391574571","2679797355","2873377340","2939121896","2964530023","3005498566","3039458390","3076862121","3133954998","3176969473","3315981121","3381168580","3557635766","3702157961","3712733927","3925450214","3984815646","4068263545","4139579230","4212168725","291d1d40-ecde-4468-8447-abc2f0563c48","email","custom",{"_1039":1028},"customIDs",{"_1038":1028},"statsigEnvironment",{"_1036":1037},"tier","production","stableID","talloUid","isAuthenticated","userAndSession",{"_14":1138,"_586":-5,"_1139":24,"_1140":1141,"_1142":1143},"courseSearch",{"_964":1087,"_1088":1071,"_1089":1090,"_1091":1071,"_1092":-5,"_1093":-5,"_1094":-5,"_1056":24,"_1095":24,"_13":-5,"_1096":1097,"_1098":-5,"_1099":1100,"_1101":1102,"_1103":1104},"careerNavigatorSlice",{"_309":1072,"_1073":298,"_1074":1075,"_1076":1077,"_1078":52,"_1079":52,"_1080":-5,"_1081":1082},"caapCareerSearch",{"_640":24,"_1049":298,"_1050":1051,"_1052":1053,"_1054":1055,"_1056":24,"_1057":-5,"_1058":24,"_1059":1060},"searchValue","searchResult",[],"comparisonData",[],"searchFilters",{"_1061":1062,"_1063":298,"_1064":298,"_1065":1066,"_1067":1068,"_1069":240,"_1070":1071},"isLoading","comparisonError","shouldOpenTray","traitSpecificCareers",{},"selectedHub",[],"selectedEarning","selectedEducation","sortByField","name.keyword","sortOrder","asc","pageSize","from",0,{"_33":1083,"_619":1084,"_39":1085,"_1086":298},"locationString","defaultLocation",{"_33":1083,"_619":1084,"_39":1085,"_1086":298},"scholarshipLocation",{"_33":1083,"_619":1084,"_39":1085,"_1086":298},"loadingLocation","loadingCaapAssessmentResults","caapAssessmentResult","industryPreference",[],"0","United States (Default)","nation","highlight",[],"totalCount","filters",{"_1105":298,"_1106":24,"_1107":24,"_1108":24,"_1109":24,"_1110":24,"_1111":24,"_1112":24,"_1113":24,"_1114":1115,"_1116":1117,"_1118":1119,"_848":1120,"_1121":1122,"_1123":1124,"_1125":1126,"_1127":-5,"_1128":24,"_1129":1130,"_1131":1071,"_1069":789,"_1132":1133,"_1134":1135},"activeFiltersCount","filterCounts","appliedFilters","sortInfo","isLoadingMore","favoriteCourseIds",[],"lastSearchTimestamp","prefetchedPages",[],"prefetchingPages",[],"prefetchedCourses",{},"searchQuery","withCertificate","isFree","withFreeCertificate","isUniversity","showSavedOnly","isBeginner","isIntermediate","isAdvanced","topLevelSubjects",[],"institutions",[],"subjects",[],[],"providers",[],"durationBuckets",[],"duration",{"_1136":-5,"_1137":-5},"language","hasSubtitles","subtitleLanguages",[],"page","sortColumn","created","sortBy","desc","min","max",{"_1149":24,"_1040":24},"isOnboardingComplete","onboardingResume",{"_1147":24,"_1148":-5},"emailUpdateModal",{"_1144":24,"_1145":298,"_1146":298},"open","newEmail","password","checked","resumeUrl","oktaChecked"]

Find Jobs

Applied Research Mathematician / Generative AI