Location: McLean
hypotheses, wrangle data, train and refine new models all to discover predictable and actionable insights that inform senior-level decision-makers. Duties/Tasks and Responsibilities: Develop artificial intelligence (AI) and machine learning (ML) methodologies to enhance accuracy and comprehensiveness of data.
Develop AI and ML methodologies to apply against unstructured data sets. Design, develop, and implement data-driven solutions using advanced statistical methods and machine learning technologies. Apply statistical techniques to develop models utilizing enterprise data warehouses and/or data lakes. Generate and test working hypotheses: aggregate and mine data, conduct analyses, and
extract actionable results. Design novel algorithms for problem solving, which may include data cleansing, feature selection, statistical modeling, data clustering and classification, text processing, and other machine learning techniques, to solve complex business problems presented by the organization.
Design and implement data pipelines, data wrangling, model training and expand on business analytics needs. Work as a key part of cross-functional teams with various internal customer groups to study quantified business use cases, identify business problems and formulate desired outcomes. Have experience in communicating modeling procedures and results to non-technical experts. #divergent
Here’s What You’ll Need: TS/SCI clearance with polygraph required Five year’s experience in the practice of analytics within the Intelligence Community (IC) or the Department of Defense (Do D) BA/BS degree in a strongly quantitative field such as: Computer Science, Statistics, Applied Mathematics, Engineering, Information Systems, or Computational Linguistics.
Demonstrated experience in applied computer science and statistics concepts including predictive modeling. Several years of experience programming in Python or R with strong working knowledge of data science related libraries like Num Py, Sci Py, Pandas, XGBoost, Sci Kit, Plotly, etc. Possess the ability to think creatively and demonstrate analytical skills, analyzing complex situations both alone and as part of a team, learning quickly and synthesizing solutions, options and action plans.
Ability to apply the scientific method to create data experiments, train novel data models and deliver prescriptive and predictive data models. Experience in data wrangling (cleaning, harmonizing and pre-processing data) from varied sources, including structured, semi-structured, and unstructured data. Data visualization experience utilizing star-schemas for optimized performance along with BI visualization tools like Oracle Analytics Server/Cloud, Tableau, or similar.
Excellent organizational, communication & documentation skills with high attention to detail Desired Requirements: Masters or Ph D in Data Science, Statistics or Mathematics Expert in writing optimized Oracle SQL Working knowledge of AWS and Git For more details: jobs-search. org/data-scientist_mclean-c449884/data-scientist-tssci-with-poly-required-security-clearance-required-mclean_i1976021084
Science Jobs is an employment niche focused on job opportunities within the science sector. It encompasses a diverse range of positions from research and development, lab work, to academic and corporate roles in various scientific disciplines like biology, chemistry, physics, and environmental science. The key feature of Science Jobs is its specialized nature, catering to individuals with a strong background in science and a passion for research and innovation. It provides a platform for employers to find highly-skilled professionals and for job-seekers to find roles that match their expertise. Science Jobs often requires candidates to have a specific set of qualifications, including advanced degrees and relevant experience, thus ensuring a highly qualified workforce driving scientific progress.
Science Jobs refers to a category of employment that specializes in the field of science, encompassing a diverse range of professions including researchers, laboratory technicians, science educators, and many others engaged in scientific disciplines. These jobs are characterized by their focus on inquiry, exploration, and the application of scientific methods to understand the natural world. They often require a strong educational background in science, critical thinking, problem-solving skills, and sometimes, experience with specialized equipment or software. In today's world, Science Jobs are crucial for innovation, technological advancement, and addressing complex challenges in healthcare, environment, and industry.
Science jobs refer to employment opportunities within the fields of science, encompassing a wide range of disciplines such as chemistry, physics, biology, and environmental science, among others. These jobs are characterized by their focus on research, data analysis, and application of the scientific method to investigate natural phenomena or to develop new technologies. Individuals in science jobs often work in laboratories, universities, research institutions, or within the private sector. They are crucial for the advancement of knowledge, innovation, and the practical application of scientific discoveries to improve various aspects of life and solve complex problems.
Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.
