CHANGE LEADERS CONSULTING | Jobs | Data scientist | BigDataKB.com | 12-02-22

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    Job Location: Bangalore/Bengaluru

    Roles and Responsibilities

    A day in the Life of Data Scientist at Brillio, you will:

    • Partner closely with project managers to deconstruct business problems of the client, develop data models and algorithms that deliver meaningful insights
    • Take ownership of whole end-to-end predictive modeling projects – from data processing, training, optimization to real-time monitoring and maintenance
    • Develop solutions to data driven problems, and communicate relevant insights to stakeholders through storyboards/presentations
    • Stay abreast with current technical and industry development and constantly strive to devise innovative statistical models for data analysis
    • Actively participate in external forums and industry conclaves

    For you to be successful, you must:

    • Create value by meeting needs of stakeholders and delivering high-quality results
    • Open and flexible to accommodate and implement new ideas, understand business complexities, nurture innovation and challenge the status quo persistently
    • Strive to be subject matter expert in chosen area of specialty through continuous learning
    • Have an eye for detail to ensure accurate conclusions in data analysis and presentations

    Disseminate knowledge and share own experiential learning with others

    You’ll bring this to the table:

    • Critical Thinking: ability to work in ambiguous situations with unstructured problems
    • Strong analytical skills with the ability to collect, organize, review significant amounts of information
    • Experience using statistical computer languages (Python) to manipulate data and draw insights from large data sets.
    • Working knowledge in basic statistical concepts such as properties of distributions, statistical tests and their proper usage
    • Expertise in some of the advanced machine learning techniques such as Clustering, Regression/Classification, Time Series Analysis, Network Analysis, Popular Deep Learning architectures and theory, simulation, scenario analysis
    • Clear, professional written and verbal communication skills, ability to easily communicate complex ideas
    • Experience with any distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, etc.
    • Experience with machine learning on cloud (AWS/Azure/GCP).
    Note– **Should be proficient in Python

    It would be exceptional, if you also have this:

    • Expertise in Image, Video, Speech, Sound, Text domain
    • Working knowledge of concepts and application of Design of Experiments
    • Depth across areas within the domain or industry

    Apply Here

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