Scope of Responsibilities

• Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems 
• Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices 
• Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases
• Rapidly build light-weight prototypes to demonstrate the core concepts
• Convert custom, complex, and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform
• Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code
• Partner with internal Govini data analysts and external client teams to seek out the best solutions regarding data-driven problem-solving
• Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers

Qualifications

• U.S. Citizenship is required


Required Skills:
• Bachelor’s degree in Computer Science, Computer Engineering, Data Analytics, Data Science, Mathematics, Statistics, or a related field; Master’s preferred
• 2+ years of hands-on data science experience
• Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
• Regular development experience in Python
• Advanced knowledge and experience with SQL
• Prior hands-on experience working with data-driven analytics 
• Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets 
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms 
• Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks, LLMs, etc)Ability to work independently and drive tasks to completion with little supervision
• Extremely strong communication and interpersonal skills
• A burning desire to work in a challenging fast-paced environment


Desired Skills:
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Experience working on agile/scrum teams
• Experience with major NLP frameworks