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Data Engineer
3 months ago
Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Data Engineer to join our Client's team.
Seeking a passionate and driven Data Scientist to support DHS’ Data Services Branch, under the Office of Chief Information Officer, that provides innovative and complex data analytics services and platforms to users.
As a Data Scientist, you will be driven by an interest in solving complex business and immigration problems through data exploration and analysis. You must be highly analytically minded, have a robust technical tool kit, and experience leading research studies. The Data Scientist will be responsible for executing all steps in the modeling and research process to produce high quality, reproducible results. They will work with immigration experts and data engineers to support the development of processes and technologies that solve immigration problems.
The Data Scientist should be an expert in data science, statistics, and mathematical methods to solve these problems. These models will drive innovative solutions that bring value and direction to DHS situations. Candidates will be able to thoroughly define a problem statement that addresses the requirements, develop an algorithmic approach to solving the problem, and then execute data and algorithmic refinement to create a model.
Responsibilities include:
Contributing to the development of research approaches to complex policy problems.
Executing of key project tasks (e.g., data collection, data analysis, tool design, and other analytic tasks) within an area of substantive training or experience required by the research project.
Applying a broad range of quantitative and/or qualitative research tools, methods, and skills in order to support complex research activities and/or research project management needs.
Assisting in communicating the results of these analyses to decision-makers through documents, PowerPoint briefings, and other media.
Acquire a strong understanding of research topics and a thorough knowledge of the data and programming efforts involved
Answer research questions by using appropriate data analytic techniques
Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
Required Skills
7+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures
Knowledgeable in a breadth of statistical computer languages (Python, etc.) to manipulate data and draw insights from large data sets
Quantitative analysis including experience with SQL or statistical/mathematical software (eg, R, SAS, MATLAB)
Ability to build or design data pipelines
Knowledge of a variety of predictive analytics and machine learning techniques (clustering, linear modeling, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience working in an Agile environment leveraging advanced design and engineering best practices
Maker mindset, coachable, and have an urge to learn/master new technologies and fields.
Experience mentoring data engineers, establishing best practices, and providing code review and other feedback
Strong ability to communicate with multiple stakeholders to build relationship and provide guidance
Ability to process structured, unstructured, and semi-structured data and apply data cleaning, data imputation and feature engineering methods prior to developing models
Ability to work with the executive team to provide architecture, design, and execution of refactoring of current processes
Desired Skills
Experience with DHS and knowledge of DHS standards a plus
MS or PhD in Data Science, Statistics, Mathematics, or related technical field
Demonstrated ability to adequately plan and meet delivery objectives and maintain adequate service levels in a highly dynamic, complex environments
Ability to vet new and novel technologies in the big data space and make recommendations and articulate risk involved with each solution
Data Architecture experience
Analytics, data, or other technical certifications
Clearance required(one of the following): Public Trust or DHS Suitability, or other DoD clearance.
Security Clearance Required: Public Trust
Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.
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