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Data scientist / ML Engineer -- US Client (Analytics)

Data scientist / ML Engineer -- US Client (Analytics)

Aspyra Hr Services

3 - 8 years

20 - 35 Lacs

Pune, Gurugram, Bengaluru

Posted:11 hours ago| Platform:

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Skills Required

Python Predictive Modeling Logistic Regression Artificial Intelligence risk modeling Natural Language Processing Machine Learning Fraud detection Deep Learning Scikit-Learn Numpy Model Development Data Science R Xgboost Linear Regression Pandas Statistical Modeling

Work Mode

Hybrid

Job Type

Full Time

Job Description

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

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Data scientist / ML Engineer -- US Client (Analytics)

Experience & Salary

Skills Required

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Job Description

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