Cypress HCM
Data Science Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Specialist in Austin, TX (Hybrid) from 5/01/2026 to 10/30/2026, offering $67.00 to $71.83 per hour. Requires 5 years of experience in data science, ML, SQL, Python/R, and big data frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
568
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🗓️ - Date
April 26, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Science #ML (Machine Learning) #Statistics #R #Computer Science #Big Data #Classification #Mathematics #Python #Data Framework #AI (Artificial Intelligence)
Role description
Job Details
• Data Science Engineer (Contract)
• Location: Austin, TX 78758 (Hybrid)
• Duration: 5/01/2026 to 10/30/2026
• Team: Fraud ADUS
Key Responsibilities
• Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
• Work closely with Cyber Fraud Investigations and AI Engineering teams to establish data science frameworks and embed insights into operational processes.
• Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Required Skills & Qualifications
• 5 years of experience in data science and machine learning.
• Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
• Have hands-on experience with AI agents and LLMs.
• Showcase a successful history of leading impactful data science initiatives.
• Exhibit strong communication and teamwork abilities.
Education & Experience
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
Compensation
• $67.00 to $71.83 per hour.
#37054595
Job Details
• Data Science Engineer (Contract)
• Location: Austin, TX 78758 (Hybrid)
• Duration: 5/01/2026 to 10/30/2026
• Team: Fraud ADUS
Key Responsibilities
• Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
• Work closely with Cyber Fraud Investigations and AI Engineering teams to establish data science frameworks and embed insights into operational processes.
• Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Required Skills & Qualifications
• 5 years of experience in data science and machine learning.
• Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
• Have hands-on experience with AI agents and LLMs.
• Showcase a successful history of leading impactful data science initiatives.
• Exhibit strong communication and teamwork abilities.
Education & Experience
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
Compensation
• $67.00 to $71.83 per hour.
#37054595
