Senior Data Scientist
Analytics Vidhya
2d ago
source : TimesJobs

Handling Business and Data requirements Leads discovery processes with stakeholders to identify the business requirements and the expected outcome Models and frames business scenarios that are meaningful and which impact on critical business processes and / or decisions Identifies what data is available and relevant, including internal and external data sources, leveraging new datacollection processes Data Analysis Develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies Works in iterative processes with the client and validates findings Develops experimental design approaches to validate finding or test hypotheses Validates analysis using scenario modelling Identifies / creates the appropriate algorithm to discover patterns Qualifies where information can be stored or what information, external to the organization, may be used in support of the use case.

Communication & Presentation Presents and depicts the rationale of findings in easy to understand terms for the business Presents back results that contradict common belief, if needed Communicates and works with business subject matter experts and organizational leadership Innovation Improves organizational performance though the application of original thinking to existing and emerging methods, processes, products and services.

  • Employs sound judgment in determining how innovations will be deployed to produce return on investment. Typical Experience / Education Bachelor degree in mathematics, statistics or computer science or related field;
  • Master degree preferred. Typically 3-5 years of relevant quantitative and qualitative research and analytics experience.

    The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

    Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling (like R or Python).

    Experience in using machine learning algorithms. Proficiency in statistical analysis, quantitative analytics, forecasting / predictive analytics, multivariate testing, and optimization algorithms Min.

    Qualification ug Skills Required bigdata, forecasting, hadoop, machine learning, mapreduce, multivariate analysis, optimization, predictive modeling, python, r, spss, statistical modeling, statistics

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