Data Scientist

ECS Tech Inc

28d•Remote

About The Position

ECS is seeking a Data Scientist to work remotely. Please Note: This position is contingent upon contract award. This Data Scientist role is full-time supporting the Department of Veterans Affairs (VA), Office of Information Technology (OIT) Veteran Experience Services Eligibility and Enrollment (VESEE) Product Line. This role supports modernization of Eligibility and Enrollment to build a seamless experience for Veterans, their families, and caregivers and contributes to improving VA employee and Veteran lives and working towards a larger mission. The position will involve identifying methods to create valuable insights from existing data, and preparing and making data-driven recommendations for business automation and other insights.

Requirements

Bachelor’s degree required
5+ years experience
Experience in design, analysis, and implementation of large-scale, complex data architectures
Good analytical skills with a focus on critical thinking, problem-solving, numeric reasoning, and creativity
Quantitative analysis including experience with SQL or statistical/mathematical software (e.g., R, SAS, Stata)
Strong Python skills
Knowledgeable in a breadth of statistical computer languages to manipulate data and draw insights from large data sets
Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools
Experience with data standardization and data governance processes
Experience in analyzing data to draw business-relevant conclusions, and ability to communicate them with data visualization techniques and tools
Demonstrated strong communication and presentation skills (particularly to non-technical audiences)
Good team player, able to manage multiple assignments, and adapt to changing client needs
Ability to work in a dynamic, collaborative, results-driven environment
Ability to obtain a Public Trust clearance

Responsibilities

Data mining, statistical and graph-based algorithms via technologies like R, Python, and PowerBI
Identifying opportunities to leverage AI and emerging technologies
Support efforts to improve the policies, procedures, and tools the agency has at its disposal to improve data quality
Reviewing application and enterprise data models (conceptual, logical, physical) to identify data quality problems
Writing code to ensure the performance and reliability of data extraction and processing
Configuring test and training data sets for use by team members
Collaborating with stakeholders to understand business requirements and translate them into data science solutions