Data Science Engineer: 26-00752

Primary Skills: ML Techniques (Expert), SQL (Proficient), Python/R (Advanced), Big Data Frameworks (Proficient), Communication (Strong) Contract Type: W2 Duration:  6 Months (With the possibility of extension) Location: Pay Range: $65 - $68 per hour on W2 #LP Job Summary: An exciting opportunity has arisen for a Data Science Engineer within the Fraud ADUS department. This role demands the development and implementation of ML models to address and mitigate fraud risks efficiently. The successful candidate will be instrumental in creating robust data science frameworks in collaboration with the Cyber Fraud Investigations and AI Engineering teams, aiming at weaving insightful data into the fabric of operational processes. Key Responsibilities: • Develop and deploy end-to-end machine learning models focused on fraud detection and risk management, ensuring models are of high precision. • Collaborate closely with Cyber Fraud Investigations and AI Engineering teams to create data science frameworks and integrate data insights seamlessly into operational workflows. • Lead in the automation of dashboards, feature pipelines, and model scoring outputs, working together with diverse stakeholders. • Utilize SQL, Python/R, and big data frameworks to analyze extensive datasets effectively and generate actionable insights. • Communicate effectively with team members and stakeholders, demonstrating strong teamwork skills to lead and influence impactful data science projects. Must-Have Skills: • Profound experience in Data Science and Machine Learning. • Proficiency in Python/R and SQL. • Strong communication and collaboration abilities. Industry Experience: At least 5 years of experience in the Information Technology domain, specifically within roles focused on data science, ML, and fraud detection. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in Tech Staffing As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!