Senior Data Scientist


USD 188,000.00 - 200,000.00 per year
Contract - W2


Data Analysis
Data Science
Data collection
Qualitative Research
Project management
Design analysis
Quantitative Analysis
Predictive analytics
Machine Learning (ML)
Code review
Data cleansing
Big data
Data architecture
Analytical skill
Software development
Regression analysis
Code refactoring
Artificial intelligence
Natural language processing
Amazon Web Services
Continuous integration
Continuous delivery

Job Details

ECS is seeking a Senior Data Scientist to work remote . Please Note: This position is contingent upon additional funding.

Job Description:

ECS is seeking a passionate and driven Senior 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 Senior 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 Senior 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 Senior 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 to support complex research activities and/or research project management needs.
  • This position will require the ability to work with complex disparate data sets and provide integration of data
  • 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.

Salary Range: $188,000 - $200,000

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 highly preferred) to manipulate data and draw insights from large datasets.
  • 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 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:
  • Candidates with existing DHS Public Trust status will be given special consideration.
  • 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.
  • Experience with AI tools/services and techniques (e.g., NLP).
  • Experience in AWS (e.g., AWS Certified Solutions Architect certification).
  • Familiarity with containerization (Docker), DevOps, and CI/CD tools.
  • Data Architecture experience.
  • Analytics, data, or other technical certifications.

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. ECS promotes affirmative action for minorities, women, disabled persons, and veterans.

ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.

General Description of Benefits