{"id":940097,"url":"https://alion.io/job/vantor-junior-data-scientist","title":"Junior Data Scientist","company":{"id":15008,"name":"Vantor","domain":"vantor.com","url":"https://alion.io/company/vantor","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":10,"ghost_share":0,"stale_share":0.7,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Time Series","optional":false},{"name":"Confluence","optional":true},{"name":"Jira","optional":true},{"name":"Keras","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-15T16:58:56Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-01T16:59:30Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.\nTo be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.\n\nExport Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).\nPlease review the job details below.\nThis position requires the ability to obtain a CBP/DHS suitability clearance.\nVantor is currently seeking a Data Scientist to contribute to the development of statistical and machine learning models to support our FALCON effort. This role can be performed remotely within the continental United States. The ideal candidate will derive these models to detect kinematic behaviors leveraging live and historical data.Using these models, the candidate will develop and run simulations to inform the development team on approaches to incorporate analytics into the system.This is an exciting opportunity to discover and apply data science techniques to solve unique and evolving problems.\nAs a Vantor team member, you will have the opportunity to closely support our mission partners, and your work will have a direct impact on building mission-focused software capabilities that support operational awareness, data-driven analysis, and timely decision-making. In this role, you will work closely with software engineers, data scientists, analysts, and customer stakeholders to build, enhance, and sustain applications and data pipelines that help transform complex data into actionable insight.\nAbout Us:\nWe are a multi-disciplinary software development and data-focused team supporting mission partners through rapid prototyping, iterative development, and operationally relevant technical solutions.\nOur diverse background of experience in mission support, software engineering, and applied data science serves as a catalyst to solve unique and challenging intelligence problems in support of operational users and their on-going activities.\nPrototyping and frequent, iterative feedback are core to our delivery approach, anchored by a need to ensure accuracy, reliability, and timeliness in support of our customer’s mission.\nCulture matters! The FALCON team values clear communication, ownership, technical curiosity, and the ability to contribute ideas without ego while fostering each other’s growth through feedback and flexibility.\nWhat You’ll Be Doing:\nContributing to the continued research, development, and sustainment of mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities. You will support engineers and mission partners by creating and/or refining software applications, maintaining and enhancing existing custom applications, troubleshooting defects, improving performance, contributing to code reviews and technical documentation, and helping deliver reliable capabilities in an agile, remote-first environment.\nResponsibilities:\nAssist team in designing analytic solutions that meet customer needs\nEnhance existing analytic solutions to ensure quality and performance\nIntegrate Data from multiple sources to create a common operating picture\nSelect and implement appropriate statistical analyses and scoring metrics to evaluate performance of existing algorithms\nCreate training and test datasets from multiple sources to enhance existing algorithms\nPerform data processing activities such as data cleansing and validating as well as other Extract Transform Load (ETL) functions\nDerive and produce Analytic Reports and Presentations for internal and external stakeholders\nIdentify and implement data visualization for analysis, presentation, and end-user UI needs\nPerform feature engineering, classifier optimization, event forecasting, and anomaly detection\nInterface with external stakeholders to decompose data science mission needs\nProduce data science processes, results, and approach documentation\nSelect and implement industry machine learning algorithms to enhance or compete with existing algorithms\nMinimum Qualifications:\nMust be a US citizen\nAbility to obtain CBP/DHS suitability\nBachelor’s degree in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or other related discipline (4 additional years of experience may be substituted for a bachelor’s degree. A master’s degree may count as 2 years of experience.).\nWorking knowledge with one or more scripting programming languages such as Python and libraries such as pandas, numpy, scikit-learn, matplotlib, scipy\nMust be willing to work in a remote setting or nearby Vantor facility and comfortable communicating via video calls.\nExperience in processing, cleaning or analyzing time series and/or geospatial data\nFamiliarity in machine learning techniques used with time series and/or geospatial data\nStrong statistical background in areas such as statistical testing, regression, and probability\nStrong verbal and written communication skills\nFamiliarity with database / data file systems such as PostgreSQL, HDFS\nPreferred Qualifications:\nCurrent Top Secret security clearance and/or CBP/DHS suitability\nAbility to understand and integrate new machine learning algorithms and technologies\nWorking knowledge of agile software development practices and tools, such as Jira, Confluence, and git\nProfessional experience working with spatiotemporal data\nUnderstanding of scoring and measuring algorithm performance\nData Visualization of multi-source, multi-dimensional data, and analytic results\nExperience conducting model feasibility research and algorithm development for machine learning\nAbility to multitask, prioritize, and manage time efficiently\nWide breadth experience with machine learning algorithms and approaches\nCurrent knowledge of the latest industry trends; Ability to articulate trends and their potential clearly and confidently\nExperience with Deep Learning technologies (Pytorch, Keras, Tensorflow)\nPay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.\nThe base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:\n$100,000.00 - $135,000.00Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers\nThe application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.\nThe date of posting can be found on Vantor's Career page at the top of each job posting.\nTo apply, submit your application via Vantor's Career page.\nEEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. 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