Data Scientist

Data Scientist Job Locations: US-DC-District of Columbia Posted Date: 2 weeks ago (10/22/2024 1:57 PM) Company Overview 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 Overview QinetiQ US seeks a highly experienced and skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for applying advanced analytics techniques, developing predictive models, and providing data-driven insights to support strategic decision-making. Your expertise in data modeling, machine learning, and statistical analysis will be essential in driving innovation and maximizing the value of our data assets. Although we will consider candidates from outside the immediate space, a background in national security is strongly preferred. Responsibilities Develop and implement sophisticated data models to analyze complex datasets, identify patterns, and extract actionable insights. Apply advanced statistical and machine learning techniques to solve business problems, predict trends, and optimize performance. Collaborate with stakeholders to understand data requirements and translate them into effective modeling strategies. Develop and implement advanced data models, algorithms, and statistical models to solve complex business problems. Utilize exploratory data analysis to identify patterns, correlations, and trends in data. Design, develop, and evaluate predictive models to support forecasting, risk assessment, and decision optimization. Clean, preprocess, and transform raw data to ensure data quality and integrity. Create compelling visualizations and reports to effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders. Collaborate with cross-functional teams, including data engineers, business stakeholders, and software developers, to drive data science initiatives and ensure successful project outcomes. Required Qualifications Bachelor's or Master's degree in a quantitative field, such as Data Science, Computer Science, Statistics, or a related discipline. Proven experience (5 years) as a Data Scientist, with a focus on data modeling, predictive analytics, and machine learning. Strong expertise in data modeling techniques, statistical analysis, and machine learning algorithms. Solid ability with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. Proficiency in TensorFlow (or PyTorch), Numpy, Pandas, and other standard Data Science/ML libraries. Strong problem-solving and analytical thinking abilities, with the ability to work with complex and unstructured datasets. Experience with OCR or other computer vision techniques and models plus. Experience with NLP, Document Understanding, LLMs, GenAI a plus. Experience with AWS and/or Databricks is a plus. Familiarity with Microsoft Power Platform, specifically Power Apps, Power BI, Power Automate, and SharePoint is a plus. Company EEO Statement Accessibility/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 staffingus.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. J-18808-Ljbffr