Job Description

Role - Data Scientist

Location : Alpharetta, GA

Duration : 6 Months

Onsite from Day 1 (5 days a week)

Experience required: 10+ years

Must have strong experience in AWS.

Skills Required:

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 GCP for processing large datasets, training models, and deploying them at scale.

Candidate must demonstrate following in their experience

o SME level expertise on Fraud Patterns and associated solutions

o Thorough knowledge of AWS ecosystem in context of AI/ML solutions

o Understanding Model Risk Management requirements as part of solution

o 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.

"Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law."

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