Data Scientists ML - Hyderabad / Secunderabad, Telangana - Virtusa

    Virtusa
    Virtusa Hyderabad / Secunderabad, Telangana

    10 hours ago

    Full time
    Description
    • The Data & Analytics team is responsible for integrating new data sources, creating data models,
    • developing data dictionaries, and building machine learning models for Wholesale Bank. The
    • primary objective is to design and deliver data products that assist squads at Wholesale Bank in
    • achieving business outcomes and generating valuable business insights. Within this job family,
    • we distinguish between Data Analysts and Data Scientists Requirements
    • We are seeking a highly skilled Data Science and Machine Learning specialist with 2+ years of
    • experience in Advanced Analytics, Statistical and ML model development. In this role,
    • candidates will be responsible for leveraging data-driven insights and machine learning
    • techniques to solve complex business problems, optimize processes, and drive innovation. The
    • ideal candidate will be skilled in working with large datasets
    • Key Responsibilities:
    • Extract and analyze data from company databases to drive the optimization and
    • enhancement of product development and marketing strategies.
    • Analyze large datasets to uncover trends, patterns, and insights that can influence
    • business decisions.
    • Leverage predictive and AI/ML modeling techniques to enhance and optimize customer
    • experience, boost revenue generation, improve ad targeting, and more.
    • Design, implement, and optimize machine learning models for a wide range of
    • applications such as predictive analytics, natural language processing, recommendation
    • systems, and more.
    • Conduct experiments to fine tune machine learning models and evaluate their
    • performance using appropriate metrics. Qualifications:
    • Bachelors, Master's or Ph.D in Computer Science, Data Science, Mathematics,
    • Statistics, or a related field.
    • 2+ years of experience in Analytics, Machine learning, Deep learning.
    • Proficiency in programming languages such as Python, and familiarity with machine
    • learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn).
    • Strong experience with data wrangling, cleaning, and transforming raw data into
    • structured, usable formats.
    • Hands on experience in developing, training, and deploying machine learning models for
    • various applications (e.g., predictive analytics, recommendation systems, anomaly
    • detection).
    • In depth understanding of machine learning algorithms (supervised, unsupervised,
    • reinforcement learning) and their appropriate use cases.

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