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Data Scientist

This role is for a Data Scientist/Cognitive Linguist on a 12-18 month hybrid contract in "Chicago, IL," "Kennesaw, GA," or "Richmond, VA," with a pay rate of "$65+/hr W2." Key skills include NLP, Python scripting, and a degree in Data Science or related fields.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
520
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Chicago, IL
🧠 - Skills detailed
#Python #NLP (Natural Language Processing) #Scripting #Datasets #Data Science #NLU (Natural Language Understanding) #Tableau #ML (Machine Learning) #Classification #AI (Artificial Intelligence)
Role description
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• We cannot work corp to corp (C2C) - We cannot provide sponsorship. All applicants must be able to work directly on Apex's W2 without sponsorship needed now or in the future

• Apex Systems, a World-Class Technology Solutions Provider, is seeking applicants for the below position on behalf of our client. Please apply if interested and qualified. Please note that only qualified candidates will be contacted.

Position: Data Scientist/Cognitive Linguist

Location: Chicago, IL | Kennesaw, GA | Richmond, VA

• HYBRID - 3 days onsite - 2 days remote

Duration: 12-18 month contract with high potential for conversion (contingent on performance)

Pay Rate Range: $65+/hr W2

Requirements:

  1. Degree in Data Science, Machine Learning, AI, etc. Bachelor’s required, Masters’ preferred.

  2. Great communication skills to be able to explain these solutions to business partners, as well as understanding their requests.

  3. Scripting skills, ideally Python. They will use scripts to pull data from Tableau dashboards.

  4. NLP (Natural Language processing) background - MUST HAVE

Key Responsibilities:
• Understand the intent portfolio for NLU across domains (e.g., technology, human resources) and how it maps to conversation design for web, mobile, and voice channels.
• Identify and build appropriate datasets to train and test machine learning models for intent classification and speech recognition.
• Develop tools and telemetry that can measure/monitor accuracy and performance and update the models accordingly throughout development lifecycle.
• Develop disambiguating and error handling strategies as the virtual assistant scales.
• Monitor conversations in the application to identify underperforming content and develop solutions to improve the performance.
• Collaborate with data scientists, product owners, UX researchers, and engineers to build out the “brain” of the virtual assistant.
• Please note that as a contract employee of Apex Systems, benefits include the below with employee contribution

• Health
• Dental
• Vision
• Life Insurance; Short Term Disability
• Hospitalization Coverage
• Direct Deposit
• Weekly Pay Periods
• Training and Development Programs
• 401k
• Referral Program