Data Science Manager

2 weeks ago

Gurugram, India BLJ Tech Geeks Full time

Key Responsibilities:

•Utilize advanced data science techniques to develop predictive models, algorithms, and analytical solutions to solve complex business problems in the financial domain.

•Collaborate with cross-functional teams to understand business requirements, identify opportunities, and deliver actionable insights.

•Clean, preprocess, and analyze large datasets from various sources to extract meaningful patterns and insights.

•Design, implement, and evaluate machine learning and statistical models to address specific business challenges, such as risk assessment, fraud detection, customer segmentation, and predictive analytics.

•Develop and maintain scalable, efficient, and automated processes for model training, validation, deployment, and monitoring.

•Stay updated with the latest advancements in data science, machine learning, and financial industry trends to continuously improve our analytical capabilities.


Key Skills:

•Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Economics, or a related field.

•10+ years of professional experience in data science, with a focus on the financial domain.

•Proficiency in programming languages such as SQL and Python for data manipulation, analysis, and model development.

•Solid understanding of machine learning algorithms, statistical techniques, and data mining concepts.

•Strong problem-solving skills, with the ability to translate business requirements into analytical solutions.

•Excellent communication skills and the ability to collaborate effectively with stakeholders at all levels.

•Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus.

•Relevant certifications (e.g., Certified Data Scientist, AWS Certified Big Data - Specialty) are advantageous.

•Hands-on experience in Risk Analysis

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