Overview
Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Our data scientists have the knowledge, skills, and initiative to deliver timely and innovative data management solutions to our clients. You will function as part of high-performing project team that is responsible for ensuring that organizations throughout the federal government are able to leverage their data to improve both their day-to-day operations and decision-making power. Our data scientists are responsible for shaping the future of analytics for clients by identifying new data sources, modeling techniques, and ways of leveraging that data.  
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is based out of Arlington, VA.
Responsibilities

Work with organizational stakeholders to define an organizational need, and work with analysts at different experience levels to define project scope and definition
Identify potential data sources, both internal and external to the host organization, and lead the collection efforts from an enterprise perspective
Identify options for, and develop the modeling techniques that can be used to solve client problems through exploratory analysis and client engagement
Act as a thought leader to define the art of the possible with regards to conducting analysis to meet specific client problems and communicating results
Prepare written documentation (e.g., technical reports, memoranda and presentations) describing the data and analytical techniques used, results produced and associated insights and recommendations
Verbally explain/defend in-process and completed work to Business Support Director and colleagues and customers and other stakeholders in informal and formal settings. 
Develop proficiency in various software applications to in order to solve problems in the most efficient, repeatable, intuitive, and transparent manner
Stay current in relation to industry best practices, tools, and techniques
Train/guide less experienced team members.
Lead and deliver projects by: planning the project; leading technical performance; managing, developing and inspiring project staff; managing and reporting project technical and schedule performance; and managing customer and other stakeholder expectations 
Collaborate with (and sometimes lead) cross-functional teams of program and IT analysts, data engineers, and other project stakeholders to assess the viability of proposed models and methodologies
Review code and other technical products produced by more junior analysts and provide timely, effective feedback

Qualifications

Minimum of 7 years demonstrated quantitative analysis experience (data engineer, economist, data analyst, cost analyst, data scientist, actuary, investment analyst)
Minimum 5 years of experience working with a high-level programming language such as R, Python, SAS, Matlab
Experience developing closed form analytic tools and techniques, and application of descriptive and predictive analytics (scripts for dedicated applications, examples on Github a plus)
Advanced knowledge of relational database design and applications, to include SQL
Significant experience with the data management lifecycle, to include data source identification, collection, cleansing and normalizations, and modeling
Knowledge of unstructured data management techniques, to include text analysis, data cleansing, data transformations, and clustering
Minimum 4 years of experience creating professional visualizations to communicate advanced analyses to senior level stakeholders (using software such as Tableau or Power BI
Advanced MS Excel (Experience with VBA preferred but not required)
Success communicating effectively (i.e., clear, organized, succinct, knowledgeable and convincing) verbally and in writing
Success independently representing Business Support in substantive technical-related interactions with customers and other stakeholders
Success managing day-to-day customer relationships at peer customer levels
Interest in earning industry recognized certifications

Preferred Qualifications

Experience in a management consulting firm
Corporate experience using git productivity tools, including use of a collaborative environment such as GitHub or GitLab
Experience processing and cleaning data using R or Python
Applied experience in machine learning classification techniques
Experience with VBA in Microsoft Excel and Access
Experience with linear programming and optimization techniques
Familiarity with DoD weapon system acquisition process preferred, not required

We are an Equal Opportunity Employer. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, national origin, sex, age, marital status, disability or veteran status.