{"id":3301385,"url":"https://alion.io/job/talent-leverage-quantitative-researcher","title":"Quantitative Researcher","company":{"id":4475040,"name":"Talent Leverage","domain":"talentleverage.com","url":"https://alion.io/company/talent-leverage","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JMP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SPSS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-26T19:51:34Z","employer_posted_date":null,"last_verified_at":"2026-10-26T19:51:34Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"QUANTITATIVE RESEARCHERCANDIDATE ATTRIBUTES: \nInquisitive and fast study, ability to quickly learn new skills and teach others.\n\nExcellent at communicating (written, oral, and active listening skills), able to alter your communication style for different audiences\n\nData story-teller, able to take complex data and translate it into a meaningful and actionable story for a client \n\nExperience with different data analytics techniques, e.g., segmentation, comparative analysis, factor analysis, etc. \n\nAptitude for diving deep and understanding the details while being able to synthesize information in logical order\n\nHigh level of professionalism and confidentiality\n\nHighly collaborative yet able to work independently\n\nHighly self-motivated, a self-starter\n\nAbility to effectively manage simultaneous priorities, ensuring timely delivery\nBusiness acumen \nRESPONSIBILITIES:The Quantitative Researcher provides the foundation for the data analytics work that we do at Strategyn. Strategyn is growing rapidly, so this individual will need to play a key role in continuing to refine and perfect this critical element of our ODI process. This position resides in the Product function within the company but will work closely with the Delivery team at Strategyn. Successful candidates for this role will be intellectually curious and possess an innate ability to create structure and process from complex and ambiguous subject matters.\nKey responsibilities include:Develop data analysis plans to make sure that the resulting outputs would include the needed results.\nDevelop questionnaires that will meet client goals and deliver statistically valid results, this includes but is not limited to ability to develop meaningful sample plans, screening criteria, etc. \nBuild Strategyns data model.\nDevelop and maintain templates for building the Strategyn data model in different platforms like Excel, Tableau, Power BI, etc.\nRun Strategyns segmentation methodology and make recommendations on the segmentation solution.\nDevelop decks to recommend initial strategies based on the data to answer key questions and the initial strategy.\nDevelop enhancements to Strategyns segmentation methodology.\nDevelop and test alternative quantitative methodologies and analysis.\nImplement quantitative methodologies to be adopted company-wide.\nImprove and maintain data tool templates to better satisfy the needs of the internal team and clients.\nBe up to date on new methodologies:\nSegmentation\nSurvey design\nData quality \nData visualization.\nBecome a subject matter expert (SME) on questionnaire design and data analysis methods.\nDevelop enhancements to Strategyns process on questionnaire development, data analysis and strategy development.\nQUALIFICATIONSResearcher level: Bachelors degree or higher (BA/BS or similar degree preferred)\nResearch level: A minimum of 3-5 years of work experience, preferably in doing and improving quantitative research methodologies\n6-sigma mentality, understanding of how business processes are measured and tracked (preferred)\nProficiency to advanced skills with Microsoft office suite (PowerPoint, Excel, and Word)\nAdvanced skills with Business Intelligence and Data Visualization tools (Power BI, Tableau)\nAdvanced skills with statistical software and languages (SPSS, JMP, R, Python, SQL)\nAbility to work effectively in a Mac computing environment\nExperience with machine learning in AI is a plus\n\nSENIOR QUANTITATIVE RESEARCHERWe are looking for an intellectually curious and self-motivated person to join our Product team.\nCANDIDATE ATTRIBUTES:\nInquisitive and fast study, ability to quickly learn new skills and teach others.\n\nExcellent at communicating (written, oral, and active listening skills), able to alter your communication style for different audiences\n\nData story-teller, able to take complex data and translate it into a meaningful and actionable story for a client\n\nExperience with different data analytics techniques, e.g., segmentation, comparative analysis, factor analysis, etc.\n\nAptitude for diving deep and understanding the details while being able to synthesize information in logical order\n\nHigh level of professionalism and confidentiality\n\nHighly collaborative yet able to work independently\n\nHighly self-motivated, a self-starter\n\nAbility to effectively manage simultaneous priorities, ensuring timely delivery\nBusiness acumen\nRESPONSIBILITIES:The Quantitative Researcher provides the foundation for the data analytics work that we do at Strategyn. Strategyn is growing rapidly, so this individual will need to play a key role in continuing to refine and perfect this critical element of our ODI process. This position resides in the Product function within the company but will work closely with the Delivery team at Strategyn. Successful candidates for this role will be intellectually curious and possess an innate ability to create structure and process from complex and ambiguous subject matters.\nKey responsibilities include:Lead a team of quantitative researchers\nBecome a subject matter expert (SME) on questionnaire design and data analysis methods.\nDevelop enhancements to Strategyns process on questionnaire development, data analysis and strategy development.\nAssist executives with special requests / high-priority projects related to questionnaire design and strategy development.\nConduct new/refresher training on data analysis methods\nConduct on-boarding training for new hires in questionnaire design, data analysis and strategy development\nKeep training material content updated (existing + new modules in the LMS system)\nKeep SOPs on questionnaire design, data analysis, and strategy development up to date.\nAs required, serve as chief instructor on client training-related projects\nAdvises the assigned Engagement Manager on managing the training activities planned for the project\nParticipates in SME role for client project meetings involving training, as requested by the Engagement Managers\nUpdate Strategyn products based on learning from application work.\nQUALIFICATIONSPhD in statistics, survey design, data analytics, or similar required\n5-10 years of work experience, preferably in doing and improving quantitative research methodologies and experience managing a team of 3+ employees\n6-sigma mentality, understanding of how business processes are measured and tracked (preferred)\nProficiency to advanced skills with Microsoft office suite (PowerPoint, Excel, and Word)\nAdvanced skills with Business Intelligence and Data Visualization tools (Power BI, Tableau)\nAdvanced skills with statistical software and languages (SPSS, JMP, R, Python, SQL)\nAbility to work effectively in a Mac computing environment\nExperience with machine learning in AI is a plus\nAbility to propose alternative methodologies for all quantitative analyses\nExperience in teaching and managing others preferred\nKnowledge of different teaching methodologies preferred\nOriginally posted on Himalayas","description_format":"text","description_chars":6945,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-26T23:28:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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