Straive - Data Scientist

• Job Role: Data Scientist
• Loc - Bangalore/Hyderabad/Chennai/Gurugram (Hybrid)
• Years of Experience: 5 to 10 years
• Shift Timing: 1PM IST to 10PM IST

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail, sports, entertainment and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: https://www.straive.com

Roles and Responsibilities:

• Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft
• Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity
• Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first party and third party fraud).
• Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.
• Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.

Skills Required:

• Bachelor's degree in engineering, technology, computer science or related field.
• ML Algorithms (XG Boost, Random forest)
• 5+ years of proven data science , risk management, or a related field
• Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance.
• Strong experience in SQL or Python
• Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
• Detail-oriented with a proactive mind set toward problem solving and risk mitigation.
• Ability to work collaboratively in a cross-functional team environment.