Senior Data Scientist - ML Model Development
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Job description
Job Description Model Development Senior Data Scientist
We are seeking an experienced and highly skilled senior data scientist to join our team, with a focus on machine learning applications and expertise. As a key contributor, you will play a pivotal role in designing and implementing advanced models to tackle analytical challenges and drive business growth for our clients.
Responsibilities:
- Design, implement, and optimize sophisticated machine learning models. Your work will enable us to uncover meaningful patterns, trends, and insights from data, ultimately solving analytical use cases.
- Utilize sophisticated algorithms and methodologies to refine and improve the performance of our models, enabling accurate predictions and actionable outputs for analytical use cases.
- Stay updated on the latest machine learning advancements, actively identifying and integrating cutting-edge techniques to continuously improve our models and address diverse analytical use cases.
- Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles.
- Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders.
- Stay informed about the latest advancements in machine learning (ML) and assist in identifying and adopting cutting-edge techniques. Enable us to continuously enhance our ML models and effectively address diverse analytical use cases.
Qualifications:
- 7-8+ years of experience in analytics preferably in Banking and Financial Services
- A minimum of 4-5 years of hands-on experience working on Machine Learning models to solve analytical use cases.
- Experience with credit risk models like PD, customer management models, EAD, LGD, loan management, underwriting models, collections.
- Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.
- Proficiency in Python, and experience with ML related libraries.
- Experience with large-scale data processing and distributed computing frameworks is a plus.
- Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders.
Join our team of dedicated professionals and contribute to the development of cutting-edge Machine learning models that solve analytical use cases, enabling data-driven decision making and delivering actionable insights.
Originally posted on Himalayas
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