Data Science Engineer - Mumbai - Veve

    Veve
    Veve Mumbai

    2 days ago

    Full time
    Description

    Responsibilities :

    • Design and develop AI/ML algorithms for ad decisioning, bid auctioning, ad creative optimization, forecasting, and data classification in Digital Advertising.
    • Identify valuable data sources and automate data engineering and ETL processes from ad serving events.
    • Develop strategies for data preparation, including structured and unstructured data.
    • Perform feature engineering and analyse large amounts of data from ad serving event logs to identify trends, patterns, and anomalies in bidding and ad decisioning.
    • Ensure data privacy and security while conducting data analysis and modelling.
    • Conduct experiments to validate hypotheses and test new algorithms.
    • Build Minimum Viable Products (MVPs) using a proof-of-concept approach, focusing on scalability, speed, and accuracy.
    • Build and maintain predictive models, dashboards, and automated reports to monitor performance and support decision-making.
    • Collaborate with cross-functional teams, such as product, engineering, and sales, to ensure seamless integration of algorithms with other systems and processes.
    • Stay up to date with the latest industry developments, advancements, and technologies in prediction and classification.
    • Understanding and implementing diverse strategic ML/AI algos as per industry best practises and creating high impact, high value training models.
    • Communicate results and recommendations to stakeholders, including non-technical audiences, using data visualization techniques.

    Required Skills:

    • 3+ years of proven experience as a Data Scientist.
    • Experience applying Data Science techniques in the field of Digital Advertising is a must.
    • Extensive knowledge and practical experience in machine learning, neural networks, and statistics, with a focus on data modelling, engineering and mining.
    • Understanding of machine learning and operations research, along with experience using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost, etc.) and real-time data processing.
    • Understanding latest advancements announced via industry research communities and research papers.
    • Proficiency in programming languages like R, Julia, Python, SQL, or Apache Spark.
    • Excellent analytical and problem-solving aptitude, critical thinking skills, strong mathematical abilities (statistics, algebra), and effective communication and presentation skills.
    • Experience using Business Intelligence Tools and Distributed cloud data frameworks.
    • Curiosity and a strong desire for continuous learning.
    • Bachelors or Masters degree (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Operations Research, or a related field.

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