Data Scientist

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Quality Assurance
Data Analysis
ROOT
Statistical Models
Analytics
Banking
Finance
Data Science
Databricks
Google Cloud Platform
Google Cloud
Training
Risk Management
Microsoft PowerPoint
FOCUS
Cloud Computing
SQL
PySpark
Amazon Web Services
Art
Artificial Intelligence
Machine Learning (ML)
Communication
Presentations
Fraud

Job Details

Hiring: W2 Candidates Only

Location: USA

Visa: Open to any visa type with valid work authorization in the USA

Experience Required: 6 to 12 years

Level: Mid to Lead positions

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.


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