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    Data Scientist - Bengaluru, India - Networth Corp

    Networth Corp
    Networth Corp Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 11 hours ago

    Default job background
    Upper Management / Consulting
    Description

    Description

    • We are looking for 2018 and later graduates
    • Above position is expected to implement Data Transformation and Data Science integration using python based pipelines deployed using cloud services
    • Data Extraction, Transformation, Feature Engineering and algorithm development are the key responsibilities

    Responsibilities

    • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
    • Collaborate with business, design and engineering teams to bring analytical prototypes to production
    • Design accurate and scalable prediction algorithms
    • Generate actionable insights for business improvements

    Basic Qualifications

    • Education: B.E./M.Sc./M.E./M. Tech.
    • Minimum 1 Year of relevant data science experience

    Knowledge & Skills

    • Hands on understanding of MS Excel and MS PowerPoint
    • Very strong @ SQL and Python
    • Interaction with various file formats and databases
    • Files Processing – XML, CSV, Excel, Jason, etc. Formats
    • Structured and Non-Structured Data processing

    Required Competencies

    • 1 - 5 years of experience in quantitative analytics or data modeling
    • Deep understanding of at least 2 supervised or unsupervised learning algorithms - predictive modeling, machine-learning, clustering and classification techniques
    • Fluency in written and spoken English
    • Customer Focus
    • Good verbal & written English communication
    • Ability to work with globally diverse teams
    • Readiness to work in flexible work timings
    • Abstract & Analytical Thinking
    • An interpersonal savvy. A very good team player
    • Nimble learning. Willingness to explore and adapt
    • Bachelor's degree or equivalent experience in Quantitative or Technical field (Statistics, Mathematics, Finance, Computer Science, Engineering, etc.)
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