Data Science Manager
Pittsburgh, PA
Full Time Mid-level / Intermediate Clearance required USD 117K - 218K *
Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking a Data Science Manager who will be responsible for managing the development of predictive statistical models using both data from Govini’s National Security Knowledge Graph and data provided by our Government customers. These models will include general statistical models, simulation models, and machine learning implementations. You will be responsible for the management of a team of existing data scientists as well as growing this team. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade data and analytics to our National Security customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of data science and always look for new ways to leverage models to drive new insights and customer value. You won’t hesitate to identify problems and take the lead in finding the answers. You are a self-starter who leads by example. You are a creative, out-of-the box thinker who shares our passion and obsession with problem-solving. As part of our team, you must have a strong understanding of the various fundamentals of data science and analysis, including machine learning. You excel at translating business problems into data science problems and bringing data to life.
This role is a full-time position located out of our office in our Pittsburgh, PA office. This role may require up to 50% travel.
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.
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking a Data Science Manager who will be responsible for managing the development of predictive statistical models using both data from Govini’s National Security Knowledge Graph and data provided by our Government customers. These models will include general statistical models, simulation models, and machine learning implementations. You will be responsible for the management of a team of existing data scientists as well as growing this team. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade data and analytics to our National Security customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of data science and always look for new ways to leverage models to drive new insights and customer value. You won’t hesitate to identify problems and take the lead in finding the answers. You are a self-starter who leads by example. You are a creative, out-of-the box thinker who shares our passion and obsession with problem-solving. As part of our team, you must have a strong understanding of the various fundamentals of data science and analysis, including machine learning. You excel at translating business problems into data science problems and bringing data to life.
This role is a full-time position located out of our office in our Pittsburgh, PA office. This role may require up to 50% travel.
Scope of Responsibilities
- Manage the teams of data scientists to execute predictive indicator development and configuration
- Partner with external client teams to understand their business problems and work with them to create data-driven solutions, to be hosted on the Govini Defense Software Application, Ark.ai
- Understand our data assets on a detailed level and train others; you are the data subject matter expert
- Constantly seek out new tools to deliver scope faster with higher quality
- Become an expert in the National Security domain, and speak from a position of authority to internal and external customers as it pertains to leveraging Govini data and analytics
- Hire the best talent and continuously train, coach, and mentor your team members to grow and perform at their highest level
- Apply advanced statistical, AI/ML, and predictive modeling techniques to build, maintain, and improve on indicators and models to help customers proactively manage risks and identify opportunities
- Constantly innovate and never settle for the status quo
- 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
- Master's degree in Statistics, Computer Science, or a related technical field
- Minimum of 5 years of direct, hands-on data science work including machine learning model development, statistical analysis, indicator development, and related programming languages such as Python and R
- Minimum 2 years of people management, specifically running data science, software/data engineering, or other technical teams
- Experience in a customer-facing data science role as an individual contributor or manager
- SQL mastery
- Experience with Git source control management
- Experience developing and deploying business intelligence (BI) tools and insights to both internal and external customers
- Understanding and appreciation of the product management discipline; ideally you have worked within a product organization in your past experience
- Strong communication skills, across all levels of the organization
- Experience with developing and maintaining Data Science solutions in AWS environments
- A burning desire to work in a challenging, fast-paced environment and grow professionally
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Experience and interest in National Security
- Experience working on agile/scrum teams
- Experience with major NLP frameworks
- Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS
Required Skills:
Desired Skills:
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Leadership Jobs
Tags: Agile AWS Big Data Business Intelligence Computer Science Engineering Excel Git HDFS Machine Learning ML models NLP Predictive modeling Python R Scrum Security Spark SQL Statistics
Perks/benefits: Career development Startup environment
Region:
North America
Country:
United States
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