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# Sr. Data Scientist

- **Company:** TEKSYSTEMS INC.
- **Location:** Fort Collins, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $104,000.0 - $124,800.0
- **Contract:** Temporary contract
- **Skills:** AWS Textract, Amazon Web Services, Optical Character Recognition (OCR), Cloud Engineering, Digital Assets, Information Extraction, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, Named Entity Recognition, Tensorflow, Standard Sql, SQL Databases, Data Processing, Large Language Models, AWS Lambda, Machine Learning Operations, Intelligent Document Processing, Automation Anywhere
- **Published:** October 20, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/co/fort-collins/61e28562-2e0d-4f60-9efb-62b616126152

## About the Role

* Experience developing and deploying machine learning solutions in production environments
 * Strong Natural Language Processing (NLP) experience
 * Advanced Python development skills
 * Strong SQL and PostgreSQL experience
 * Experience building data science solutions in AWS cloud environments
 * Experience working with OCR, Document AI, Intelligent Document Processing (IDP), or document understanding technologies
 * Experience with predictive modeling, classification, information extraction, or related machine learning techniques
 * Experience evaluating model performance and improving accuracy through iterative testing and analysis
 * Ability to obtain a U.S. Government Position of Public Trust

Preferred Qualifications

 * AWS Textract
 * AWS Bedrock
 * AWS SageMaker
 * AWS Lambda
 * Document Intelligence platforms
 * Intelligent Document Processing (IDP)
 * Entity extraction and record reconciliation
 * Layout-aware document models
 * Experience operating within government, highly regulated, or compliance-focused environments
 * Experience building human-in-the-loop AI workflows

Technologies You'll Use

 * Python
 * SQL / PostgreSQL
 * AWS Cloud Services
 * AWS Textract
 * AWS Bedrock
 * AWS SageMaker
 * AWS Lambda
 * Machine Learning
 * Natural Language Processing
 * OCR
 * Document AI
 * Intelligent Document Processing
 * Predictive Analytics, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Operations
PostgreSQL
Collections
Scalability
Data Quality
Data Science
Reconciliation
Data Processing
Machine Learning
Business Valuation
Exception Handling
Workflow Management
Amazon Web Services
Predictive Modeling
Document Processing
Wildlife Management
Full Stack Development
Information Extraction
Business Transformation
Named Entity Recognition
SQL (Programming Language)
Python (Programming Language)
Natural Language Processing (NLP)
Error Analysis (Numerical Analysis), Join a federal wildlife conservation modernization initiative focused on transforming decades of permits, certificates, inspection records, and wildlife trade documentation into structured, searchable data assets.

As a Senior Data Scientist, you will design and implement Document AI, OCR, machine learning, and natural language processing solutions that convert complex, unstructured records into valuable data used to support conservation, compliance, analytics, and regulatory decision-making.

This role offers the opportunity to work on a high-impact modernization effort while building scalable AI-powered document intelligence capabilities in a cloud-based environment.

What You'll Do

 * Design and develop OCR and Document AI solutions for large collections of scanned records, permits, certificates, and legacy documents
 * Build machine learning and NLP models that extract, classify, validate, and transform unstructured information into structured data
 * Create document understanding workflows that support information extraction, taxonomy-based classification, and entity identification
 * Develop confidence scoring frameworks and exception-handling workflows for low-confidence outputs
 * Support human-in-the-loop review processes that improve data quality and model performance
 * Evaluate model performance using precision, recall, error analysis, and other machine learning metrics
 * Build reproducible and auditable machine learning pipelines with clear lineage and validation practices
 * Develop solutions that support reconciliation and relationship mapping across permits, applicants, species, countries, shipments, and related records
 * Collaborate closely with data architects, subject matter experts, business analysts, and platform engineers
 * Support cloud-based AI and data processing solutions using AWS services and modern machine learning frameworks