Data Science Lead

Company DescriptionGovini is a decision science firm dedicated to transforming the business of national security through data science and machine learning. Through its data and analytic 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.
Job DescriptionWe are seeking a natural leader to join our team as the Data Science Lead. This individual will be responsible for understanding the vision of our Chief Data Officer and putting it into action to deliver value to users through the application of data science to Govini’s unique assets. 
Your role as the Data Science Lead will be primarily focused on managing the execution and timely completion of projects related to large data deployments. You will be the quarterback of the Data Science team, ensuring your team is designing and implementing cutting-edge, scalable statistical systems based on their research. You will have the opportunity to expand and grow data-driven research across Govini, and lead new areas to apply advanced analytics to drive business results. 
We need a creative, out-of-the box thinker who shares our passion and obsession with quality.  As the team lead, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis, and know how to bring data to life. You must be passionate about the development of your team and driving Govini’s data services further. This is a full-time team member position, working onsite in our Pittsburgh, PA office.
In order to do this job well, you must be an influential people-leader who can not only dive into the data, but can also inspire your team to do great work. You are collaborative, driven and motivated. You have a passion for professional development and mentoring your team. You strive to drive forward Govini’s mission and do not tolerate mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy.

Scope of Responsibilities

• Collaborate with key stakeholders, such as the Chief Data Officer, to understand Govini’s current data challenges. Report to senior leaders on project status, risks and roadblocks the Data Science team experiences
• Directly manage a team of Data Scientists, Machine Learning Engineers, and other key data-related roles. Responsible for mentorship, professional development, recruitment activities and other day-to-day management tasks
• Embrace and promote teamwork within the Data Science team, as well as cross-functionally. Cultivate and promote individual accountability, diversity and inclusion
• Understand the unique skills of the Data Science team to appropriately staff them to current projects to meet key business objectives
• Partner with internal Govini analysts and external client teams to seek out the best solutions regarding data-driven problem solving
• 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
• 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

• Candidate must be a U.S. Citizen

Required Skills
• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master’s or PHD preferred
• Minimum 7 years hands on data science experience
• Previous experience managing a Data Science team
• Deep experience with Python, R, Julia or other statistical programming languages
• Familiarity with Git source control management
• 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 working on agile/scrum teams
• Ability to work independently with little supervision
• Strong communication and interpersonal skills, including translating technical work for non-technical audiences
• A burning desire to work in a challenging fast paced environment

Desired Skills
• Expertise with automation and streaming data
• Experience with NLP/NLU tools and frameworks (spaCy, BERT, ELMo, transfer learning)
• Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS
• Experience working in a product organization
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment

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.