Data Science Lead/Manager

2 months ago

Delhi NCRBangaloreGurgaonGurugram, 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 time-series data, spatial, graph data, semi-structured and unstructured data, and build statistical/machine-learning models in support of on-demand, real-time 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

(ref:hirist.tech)

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