Data Scientist II

WINTrio LLC

$95K — $115K *
US-AnywhereRemote in United States
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2 to 5 years of experience in applied data science, statistical analysis, or NLP/conversational AI development
  • Prior experience with survey instruments or statistical data collection programs
  • Experience building or tuning NLU/NLP models for structured data extraction
  • Experience with speech-to-text pipelines and conversational AI platforms
  • Familiarity with data validation, metadata standards, and quality assurance practices

Responsibilities

  • Design and validate statistical models for response accuracy across multiple channels
  • Build and tune NLU intent models for extracting structured data from responses
  • Support accuracy tuning and error analysis in speech-to-text pipelines
  • Develop confidence-scoring and escalation logic for complex automated responses
  • Document data models and validation logic for knowledge transfer and audit readiness
  • Collaborate with solutions architects and UX researchers on data pipeline design

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
Full Job Description
Position Title: Data Scientist II
Location: Remote

Work Authorization: Must be eligible for a federal background investigation (NACI minimum)

Application Email: [email protected]
Job Summary
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.

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