Jacobs Data Scientist - TS/SCI With Poly Required in McLean, Virginia
As a member of this team, you will be integral to enhancing the accuracy and comprehensiveness of data used to produce performance analyses for our client. You will build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. You will scope out requirements, define testable 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.
As a subject matter expert, your duties will also include:
Recommending process, product or system improvements;-solving unique and complex problems that have a broad impact on the customer organization;-contributing to the development of functional strategy;-providing innovative solutions using leading-edge theories, techniques and/or technologies.
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 (DoD)
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 NumPy, SciPy, Pandas, XGBoost, SciKit, 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
Masters or PhD in Data Science, Statistics or Mathematics
Expert in writing optimized Oracle SQL
Working knowledge of AWS and Git
Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.