Sr. Data Scientist

TEKsystems

USA

Remote

USD 69.000 - 83.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical, dental & vision
401(k) Retirement Plan
Life Insurance
Short/Long-term Disability
Health Savings Account (HSA)
Transportation benefits
Employee Assistance Program
Paid Time Off

Zusammenfassung

TEKsystems is seeking a Senior Data Scientist to design and implement Document AI, OCR, and NLP solutions that convert unstructured wildlife records into structured data for conservation, compliance, and regulatory decisions. The role focuses on cloud-based AI capabilities and scalable data processing within a federal modernization program.

You will build pipelines, classify and extract entities, and collaborate with cross-functional teams to ensure data quality and actionable analytics while

Qualifikationen

  • Production ML development and deployment experience.
  • Strong NLP experience.
  • Advanced Python development skills.
  • Strong SQL and PostgreSQL experience.
  • Experience with AWS cloud environments.
  • Experience with OCR/IDP/document understanding tech.
  • Experience with predictive modeling and information extraction.
  • Experience evaluating model performance and improving accuracy.
  • Ability to obtain a U.S. Government Position of Public Trust.

Aufgaben

  • Design and develop OCR and Document AI solutions for large collections of records.
  • Build ML and NLP models to extract and structure unstructured data.
  • Create document understanding workflows for classification and entity identification.
  • Develop confidence scoring and exception-handling workflows.
  • Support human-in-the-loop review to improve data quality.
  • Evaluate model performance with precision, recall, and error analysis.
  • Build reproducible ML pipelines with lineage and validation.
  • Develop solutions for reconciliation across permits, applicants, species, and records.
  • Collaborate with data architects, SMEs, analysts, and engineers.
  • Support AWS-based AI and data processing solutions.

Kenntnisse

Python
SQL/PostgreSQL
NLP
AWS Cloud
OCR/IDP
ML in Production
Public Trust

Tools

AWS Textract
AWS SageMaker
AWS Bedrock
AWS Lambda

Jobbeschreibung

Description

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
Required Qualifications
  • 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
Team & Environment

You’ll work alongside data architects, platform engineers, business analysts, and domain subject matter experts supporting a mission-driven federal modernization initiative. The program is focused on improving accessibility, traceability, analytics, and reporting across critical wildlife trade data systems through the use of modern AI and machine learning technologies.

Additional Skills & Qualifications

Must be able to pass a government background check and be in a Position of Public Trust.

Experience Level

Intermediate Level

Job Type & Location

This is a Contract position based out of Fort Collins, CO.

Pay and Benefits

The pay range for this position is $50.00 - $60.00/hr.

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.

Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)

Job Type & Location

This is a Contract position based out of Fort Collins, CO.

Application Deadline

This position is anticipated to close on Oct 27, 2026.

Workplace Type

This is a fully remote position.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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