Location: Pittsburgh, PA

Employment Type: Full-Time

Team: Decision Science

Company Description

Govini is a decision science firm dedicated to transforming the business of national security through data science and machine learning. Through its National Security Knowledge Graph and Decision Science Platform, Govini delivers objective, decision-grade information at scale to the national security enterprise, so that leaders can better direct investments to innovation and modernization. Govini has offices in Arlington, Virginia, San Francisco, California, and Pittsburgh, Pennsylvania.

We are seeking an exceptional and experienced Data Analyst/Developer engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships.

We need a skilled and dedicated data expert to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on developer/analyst with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end-users and platform SMEs.

In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems.

Scope of Responsibilities

• Define and drive the data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization, and linkage
• Ensure key entities within datasets are identified, resolved, and linked to existing entities within the current master data repository
• Define rules for data quality and develop test scripts to clean and validate data
• Build best practices that help with a chain of custody of data so it can be easily traced back to the source for accuracy and consistency
• Perform exploratory data analyses, generate and test working hypotheses, and prepare and analyze data for import.
• Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language

Qualifications

• Candidates must be a U.S. Citizen

Required Skills

• 1-2 years of experience with programmatically transforming data using Python or R
• Advanced SQL programming skills (PostgreSQL preferred)
• Experience creating Python scripts to import data from CSV, XML, and JSON files
• Requires strong analytical ability and attention to detail
• Bachelor's degree in Computer Science, Mathematics, or related technical field
• Ability to work independently with little supervision
• A burning desire to tackle hard problems and create sustainable solutions

Desired Skills

• Experience using Amazon Web Services
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Working knowledge with large amounts of data

We firmly believe that past performance is the best indicator of future performance. If you believe you meet the qualifications above, and you’re prepared to perform complex, mentally rigorous work, we’re eager to hear from you.

Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

We firmly believe that past performance is the best indicator of future performance. If you thrive in ambiguity, are a self-starter, and care about solving technical problems in the national security domain, we’re eager to hear from you.

Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.