Spiceworks | Jobs | Senior Data Scientist | BigDataKB.com | 07-02-22

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    Job Location: Bangalore/Bengaluru

    We are looking to hire a Sr Data Scientist (India) to help support our Data Science and AI/ML initiatives. You will be a part of a global all-remote Data Science and Engineering organization and will play an integral role in designing and developing our data-driven products and solutions.

    As a Sr Data Scientist, you ll work closely with other Data Scientists, Data/Software Engineers, Analysts, and Business Stakeholders as you help us innovate new martech data products. This is a great opportunity to join a top-notch data science and engineering organization devoted to driving the next generation of AI/ML marketing technology innovations.

    What You ll Do

    • Help support the data science vision by design and developing the next generation of marketing technology, models, and data products
    • Closely collaborate other scientists and engineers leadership to relentlessly drive innovation and agility of our engineering teams
    • Collaborate with stakeholders to conduct research, develop proof of concepts, and design solution
    • Work on state-of-the-art large-scale data analytics and machine learning projects
    • Build and operationalize predictive models leveraging recent advances in AI/ML, Deep Learning, and NLP
    • Help develop data science standards and best practices that support experimentation, reproducibility, quality assurance, and MLOps
    • Continuously evaluate the latest AI/ML technologies, packages, and frameworks in the data science ecosystem
    • Contribute to the consolidation of our data and empower other teams with self-serve analytics
    • Work closely with stakeholders on the data supply side (e.g. application engineers) and data demand side (e.g., BI analysts, data scientists, product managers, and other engineering teams)

    What You Need

    • Expertise in Python, SQL, Machine learning
    • Experience designing data pipelines (dataset preparation, data cleaning, and model training) for machine learning models training and inference
    • Experience in deploying (API and Batch) ML models at scale in production
    • Experience in running tests, performing statistical analysis, and interpreting test results.
    • Experience working directly with engineering and product teams
    • Familiarity with AWS stack preferred
    • Familiarity with Snowflake, Matillion, Airflow, EMR, Flask, FastAPI, Docker is an added advantage
    • Knowledge of NLP/Recommender Systems/RTB/martech is an added advantage

    Apply Here

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