Data Science Lead/Manager

1 week ago


India Ally Executive HR Full time

Job Description :

Role - Data science-SSE/LEAD/MANAGERS

  • We are looking for Data Science lead / manager to work on machine learning, data mining, and statistical modeling for predictive and prescriptive enterprise analytics.
Successful candidates will be expected to investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications in a set of industrial verticals (e.g. healthcare, transportation, customer care etc.).

  • Applicants will be expected to work with a diverse set of data sources, such as timeseries data, spatial, graph data, semistructured and unstructured data, and build statistical/machinelearning models in support of ondemand, realtime analytic services.

The applicant should also have strong skills in explaining and interpreting the analytic models and outcomes in both research and application contexts.

PREFERRED DOMAIN - MARTECH, INSURANCE, RETAIL, ECOMM,BFSI,LEGAL

Location - GURGOAN/ BANGALORE/ NOIDA

Responsibilities :

  • Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems
  • Manage and Mentor a team of Data Scientists
  • Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices
  • Work with development teams & business groups to ensure models can be implemented as part of a delivered solution replicable across many clients
  • Present findings to stakeholders to drive improvements and solutions from concept through to delivery
  • Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
  • Collaborate closely with university partners and other scientists and engineers in a multidisciplinary work environment
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