Greetings
Role: Senior Data Scientist - Predictive AI
Location: Morristown New Jersey- 100% onsite from Day 1.
Duration: 6 months contract
Experience Required: 8- 10 Years.
Skills: Digital : Artificial Intelligence(AI) Digital : Google Data Engineering
Key responsibilities:
Retrain and calibrate governed predictive models for AML compliance fraud and core FS use cases to improve precision/recall and reduce false positives. Relevant work experience in fintech fraud risk with deep understanding of money movement products banking lending and fraud detection data
Deliver customer segmentation anomaly detection and forecasting solutions by applying hands-on ML expertise to ship production-ready models in financial services. Leverage experience across credit risk and fraud to design deploy monitor and maintain models (deep learning tree-based reinforcement learning clustering time series causal methods and NLP) with a deep understanding of payment systems money movement banking and lending.
Continuously monitor model performance drift and stability; define thresholds and trigger retraining with clear acceptance criteria.
Partner with ML Engineering to provide L2/L3 production support-triage incidents perform root-cause analysis and implement hotfixes within MLOps guardrails.
Engineer features and prepare training/eval datasets with Data Engineering; contribute to the design and rollout of a reusable feature store.
Document models assumptions and controls; perform structured handoffs to MLOps/ML Engineering for compliant deployment.
Write production-quality code for DS workflows (SQL Python); use advanced Excel for analysis/reporting; enforce testing and reproducibility.
Ability to quickly develop a deep statistical understanding of large complex datasets
Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
Strong business problem solving communication and collaboration skills
Required Experience: 6 - 8 Years of Experience
Required Skills:
Database SQL Python DataRobot Snowflake GitHub
Nice to have:
Actimize experience
Basic familiarity with AML model tuning and testing processes.
With Regards
Samuel Yesupogu
US IT Recruiter
Greetings Role: Senior Data Scientist - Predictive AI Location: Morristown New Jersey- 100% onsite from Day 1. Duration: 6 months contract Experience Required: 8- 10 Years. Skills: Digital : Artificial Intelligence(AI) Digital : Google Data Engineering Key responsibilities: Retrain and calibra...
Greetings
Role: Senior Data Scientist - Predictive AI
Location: Morristown New Jersey- 100% onsite from Day 1.
Duration: 6 months contract
Experience Required: 8- 10 Years.
Skills: Digital : Artificial Intelligence(AI) Digital : Google Data Engineering
Key responsibilities:
Retrain and calibrate governed predictive models for AML compliance fraud and core FS use cases to improve precision/recall and reduce false positives. Relevant work experience in fintech fraud risk with deep understanding of money movement products banking lending and fraud detection data
Deliver customer segmentation anomaly detection and forecasting solutions by applying hands-on ML expertise to ship production-ready models in financial services. Leverage experience across credit risk and fraud to design deploy monitor and maintain models (deep learning tree-based reinforcement learning clustering time series causal methods and NLP) with a deep understanding of payment systems money movement banking and lending.
Continuously monitor model performance drift and stability; define thresholds and trigger retraining with clear acceptance criteria.
Partner with ML Engineering to provide L2/L3 production support-triage incidents perform root-cause analysis and implement hotfixes within MLOps guardrails.
Engineer features and prepare training/eval datasets with Data Engineering; contribute to the design and rollout of a reusable feature store.
Document models assumptions and controls; perform structured handoffs to MLOps/ML Engineering for compliant deployment.
Write production-quality code for DS workflows (SQL Python); use advanced Excel for analysis/reporting; enforce testing and reproducibility.
Ability to quickly develop a deep statistical understanding of large complex datasets
Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models
Strong business problem solving communication and collaboration skills
Required Experience: 6 - 8 Years of Experience
Required Skills:
Database SQL Python DataRobot Snowflake GitHub
Nice to have:
Actimize experience
Basic familiarity with AML model tuning and testing processes.
With Regards
Samuel Yesupogu
US IT Recruiter
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