Data Science Engineer
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Overview
Compensation
$70-$70/hour
Job Description
Job Title: Data Science EngineerLocation: Austin TX, 78758 - (Hybrid 2/3 days Onsite)Duration: 8 MonthsWork type: W2Payrate: $69.71/HRDuties:
- Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
- Work closely with Cyber Fraud Investigations, Data Engineering and AI/ML 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.
- Possess over 5 years of experience in data science and machine learning.
- Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
- Hands-on experience with AI agents and LLMs - Preferred.
- Showcase a successful history of leading impactful data science initiatives.
- Exhibit strong communication and teamwork abilities.
- This role is not suitable for entry-level candidates or interns.
- Hold a Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. Advanced degrees are a plus.
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FAQs About Data Science Engineer Jobs at Intelliswift Software Inc
What is the work location for this position at Intelliswift Software Inc?
This job at Intelliswift Software Inc is located in Austin, TX, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Intelliswift Software Inc?
Candidates can expect a pay range of $69.71–$69.71 per hour for this role.
What employment applies to this position at Intelliswift Software Inc?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Intelliswift Software Inc?
You can apply for this role at Intelliswift Software Inc either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.