Internship Data Scientist Risk Jobs in Washington

Position Overview: 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.

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.

Required Clearance: Must have an IRS Public Trust w/ a Full Background Investigation

Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.)

Required Skills / Experience:

• 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.

• 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 a Public Trust clearance
• Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.

• Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.)
• Programming techniques (e.g. pair programming, code reviews)
• Experience with containerization and environment management (venv or conda)
• Experience with Natural Language Processing (NLP) and advanced text mining techniques
• Experience with graph analytics and network analysis
• Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure
• Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting
• Experience implementing data science processes in a remote, austere environment to include using bash
• Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.)
• Understanding of the data analytics lifecycle (e.g. CRISP-DM)

People Centered. Data Driven

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.

Equal Opportunity Employer, including disability/protected veterans