Data Scientist

Data Scientist

Location: Arlington, VA

Hybrid

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients’ environment and needs.

Summary of Position:     

As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies.  

This position will be part of our Government Civilian Team serving Federal Civilian agencies as our primary customers. 

Essential Functions: 

• Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions
• Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic  
• Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)
• Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools.
• Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques.
• Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations  
• Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand  
• Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline  
• Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training
• Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models  
• Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication 
• Ability to work autonomously in a collaborative, dynamic, cross-functional environment
• Demonstrated business savvy with solid interpersonal and communication skills (written and verbal).
• Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification.

Job Specifications/Requirements:

• Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
• 1+ years of experience in data science, data analytics, or a related technical field
• Prior computer programming experience, preferably in a language such as Python or R
• Experience with data exploration, data munging, data wrangling, and model development in R or Python
• Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL 
• Humble and willing to learn, teach, and share ideas 
• Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements
• Comfortable learning new things and working outside of your comfort zone  
• Technical mindset – you are not afraid of math!  
• Must currently possess or have previously held an IRS Security Clearance.
• Travel to and work on-site at clients both local and