Technical lead Data Scientist

Role: Technical lead Data Scientist

Location: Berkeley Heights, NJ

Mode Of Hire: Full Time

Roles and Responsibilities:

• Lead a team of Data Scientists, ML Engineers, Data Engineers and QA in liaison with client stakeholders to produce end-to-end pipelines that deliver business value to client.
• Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first party and third-party fraud).
• Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences.
• Translate business requirements of client into definitive AI/ML solutions and assign specific roles to each team member.

Skills Required:

• 12+ years of experience in fraud analytics, risk management or financial crime analytics in the banking sector with an additional emphasis on transaction monitoring
• Machine Learning and Business Articulation
• Expertise: Extensive experience in designing, developing, and deploying machine learning models to detect and mitigate fraud. Candidate should demonstrate a high degree of capability to translate client business statements/briefs into data-driven solutions.
• Fintech & Fraud Detection: Background in the Fintech industry, with specific experience in financial crime and fraud detection, applying data science to solve real-world business problems.
• Advanced Tools and Platforms: Experience with tools such as PySpark, Databricks, AWS, or Google Cloud Platform for processing large datasets, training models, and deploying them at scale.
• Candidate must demonstrate following in their experience
  • SME level expertise on Fraud Patterns and associated solutions
  • Thorough knowledge of AWS ecosystem in context of AI/ML solutions
  • Understanding Model Risk Management requirements as part of solution
  • Excellent command of PowerPoint for creating apt business presentations
• Expertise in AI / ML with strong focus on leveraging cloud platforms like AWS to build scalable, production-grade applications.
• Strong experience with advanced SQL and good to have experience in Pyspark.
• Good understanding or experience of working in AWS.
• Proven track record of leading cross-functional teams to create state-of-the-art AI/ML artefacts.
• Excellent written and verbal communication skills.
• Strong understanding of fraud patterns and digital transaction behaviors.