Position Title: Data Scientist II
Location: Remote
Work Authorization: Must be eligible for a federal background investigation (NACI minimum)
Application Email: careers@wintrio.com
Job Summary
WINTrio LLC is seeking a Data Scientist II with hands-on experience supporting federal survey or statistical data collection programs. This role applies AI, NLP, and conversational AI capabilities to modernize data collection across web, mobile, and voice based channels. The ideal candidate has worked on large-scale survey instruments, respondent data pipelines, or statistical agency platforms.
Key Responsibilities
- Design and validate statistical models supporting response accuracy across web, mobile, and voice based channels
- Build and tune NLU intent models to extract structured data from open-ended and conversational responses
- Support speech-to-text pipeline accuracy tuning and error analysis for phone based data collection
- Develop confidence-scoring and escalation logic to route complex responses from automated systems to live staff
- Design metadata schemas and automated validation rules feeding CI/CD deployment workflows
- Analyze response and transcript data to identify data quality issues, drop-off points, and usability gaps
- Support functional, performance, and accuracy testing of AI driven data collection components
- Document data models, validation logic, and AI decision workflows to support knowledge transfer and audit readiness
- Collaborate with solutions architects and UX researchers to align data pipeline design with respondent-facing interfaces
Required Qualifications
- 2 to 5 years of experience in applied data science, statistical analysis, or NLP/conversational AI development
- Prior experience working on survey instruments or statistical data collection programs
- Experience building or tuning NLU/NLP models for structured data extraction from unstructured or spoken input
- Experience working with speech-to-text pipelines and conversational AI platforms
- Experience supporting federal or regulated data environments with structured deliverables
- Familiarity with data validation, metadata standards, and quality assurance practices
- Experience working with COR and Government stakeholders on structured deliverables
- Must be eligible for a NACI background investigation
Technical Skills and Tools
- Programming and Analysis: Python, SQL, R, statistical modeling, pandas/NumPy
- AI and NLP: Amazon Lex, Amazon Bedrock, Azure AI Language, Google Dialogflow, spaCy, or comparable NLU frameworks
- Speech Technologies: Amazon Transcribe, Amazon Polly, Azure Speech Service, Google Speech-to-Text
- Conversational/Contact Center Platforms: Amazon Connect, Twilio Flex, Genesys Cloud
- Cloud Platforms: AWS (preferred), Azure, or GCP
- Data Engineering: ETL pipelines, ELT workflows, data validation frameworks
- Databases: SQL Server, MySQL, PostgreSQL
- Recommended Certifications (not mandatory): AWS Certified Machine Learning Specialty, AWS Certified Solutions Architect
Work Environment
- Full time position
- Remote eligible
- Standard business hours Monday through Friday
- No travel required
WINTrio Benefits
- Healthcare (Medical, Dental, and Vision)
- Flexible Spending Account (FSA) and Health Savings Account (HSA)
- 401(k) and Retirement Savings Plan
- Annual Bonus and Profit Sharing Opportunities
- Paid Time Off (PTO) and Vacation
- Employee Assistance Program (EAP)
- Life, Personal, and Voluntary Disability Insurance
Growth Opportunities
There is ample opportunity to grow in multiple dimensions, including federal data science, conversational AI integration, and program leadership. We are a completely employee driven company, and our continued success is built on the talent, dedication, and innovation of our team members.
Equal Opportunity Employer
WINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
