Description
Formed in 2011, INADEV is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
We are seeking a passionate and driven Data Scientist to support a Federal Office of Chief Information Officer that provides innovative and complex data analytics services and platforms to users.
You
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.
You are 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.
Position Description
- Contributing to the development of research approaches to complex policy problems.
- Executing 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.
Requirements
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 (e.g., 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 relationships 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.
Highly Desired Skills/Experience
- Ability to obtain Federal Public Trust clearance.
- 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 highly dynamic, complex environments.
- Ability to vet new and novel technologies in the big data space and make recommendations and articulate risks involved with each solution.
- Data Architecture experience.
- Analytics, data, or other technical certifications.