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Data Scientist
A.C.Coy Company. Research, design, and develop visualization solutions supporting investigative and audit products .
Tech Stack
Tools & technologiesAWSAzureJavaScriptPythonSQL
About the role
Key responsibilities & impact- Research, design, and develop visualization solutions supporting investigative and audit products
- Design experiments, test hypotheses, and build scalable data science and artificial intelligence models
- Design, develop, and adapt mathematical, statistical, econometric, and analytical solutions for audits, investigations, research, and support functions
- Lead natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance
- Translate complex technical findings into understandable narratives
- Prepare documentation including requirements, test plans, user manuals, technical diagrams, and training materials
- Develop project communications and maintain relationships with project teams, stakeholders, and management
- Advise on data access, quality, storage, and related project needs
- Contribute to and present training and conference materials
- Collect and analyze data from diverse sources to develop trends, descriptive statistics, and insights
- Research, extract, evaluate, interpret, and visualize data as actionable intelligence for auditors and investigators detecting, preventing, and responding to fraud, waste, and abuse
- Use relational databases, data lakes, and data lakehouses to create business intelligence tools, summary tables, comparison graphs, and temporal, association, and link analysis charts
- Collaborate with agencies and peers to share information and learn analytical tools and techniques
- Develop database application and environment expertise and share it with coworkers
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or related field
- 5+ years of coding experience utilizing SQL, Python, R, and JavaScript
- 3+ years of experience with Machine Learning, Natural Language Processing, Robotics Process Automation, Artificial Intelligence, text and/or data mining, and statistical and mathematical methods
- 6+ months of experience with AWS or Azure services such as Databricks, Data Factory, and Data Lake
- Familiarity with Azure DevOps and/or GitHub
- Experience operating within Agile frameworks and supporting continuous integration and delivery pipelines
- Ability to create datasets, visualizations, and interactive reports in business intelligence applications
- Proficiency applying analytical techniques, methods, and processes to business problems
- Experience working with structured and unstructured data, including optimization, simulation, classical and spatial statistics, and programming languages
- Strong writing and documentation skills
- Strong relational database and querying languages experience
- Ability to work effectively in a team environment
- Excellent communication skills
- Must be a US Citizen and able to obtain Public Trust clearance
- Must have lived in the United States for the past 5 years
- Cannot have more than 6 months travel outside the United States within the last 5 years; military service excluded
Benefits
Comp & perks- Contract-to-hire opportunity
- Hybrid work arrangement
- Opportunity to support a US Government client
- Professional certification(s) in a related field of Data Science and/or Data Analytics disciplines preferred