Data Scientist - MID

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.Why Join QinetiQ US?If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.Position OverviewWe are looking for a data scientist to join our team at DIA.ResponsibilitiesWork with complex data sets to solve real world problems. Support the warfighter and policy makers with decision making.Required Qualifications3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining3+ years of experience with analyzing structured and unstructured data sourcesExperience with statistical and general-purpose programming languages for data analysisExperience with developing predictive data models, quantitative analyses, and visualization of target data sourcesExperience with leading the development of solutions to complex problemsExperience with natural language processing, text mining, or machine learning techniquesExperience implementing automation in processing, presenting, or manipulating dataActive TS/SCI clearance; willingness to take a polygraph exam #qinetiqclearedjobPreferred QualificationsExperience in the development of algorithms leveraging Python and SQLExperience with developing solutions incorporating Large Language ModelsExperience with Python data science and visualization packagesExperience with Excel MBAAn active CI polygraphCompany EEO StatementAccessibility/Accommodation:If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.About the companyWhat We Do [et_pb_column type="1_3" module_class="align-cta-bottom" _builder_version="4.15"NoticeTalentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report . NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000. #J-18808-Ljbffr