Data Scientist - Analytics
Data Scientist - Analytics
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Job Description
Key Responsibilities:
Collaborate with stakeholders to plan design develop test and maintain the digital data center and analytics initiative.
Identify areas to apply optimization or predictive analytics in the Business. Conceptualize and create a charter for deploying machine learning models. Document the technology requirements and build use cases using the appropriate algorithms for the business functions and enable their deployment for golive. Clearly communicate processes potential solutions and usecases through documentation wireframes interaction flows prototypes and visuals.
Participate in the full lifecycle of AI ML projects from ideation and model development to implementation validation and deployment.
Drive the implementation testing evolution and maintenance of the various machine learning models developed. Be able to collect and provide relevant domain as well technical insights to fine tune the Data Analytics Models built and improve the accuracy and usability of outputs generated. Take over model maintenance of models already deployed. Should have experience in ML Ops.
Work to understand and challenge solutions proposed by analytics partners. Be responsible for the quality and timely delivery of solutions delivered to the Business.
Design and develop predictive models ML algorithms statistical analyses and feature engineering to solve complex problems.
Work with business or functions in designing frontend business intelligence multidimensional PowerBI dashboards in an effective manner.
2. Profile Requirements
Educational Qualification
Graduate/Post Graduate degree Computer Science Statistics Data Science or a
Graduate/Post Graduate degree Computer Science Statistics Data Science or a related fieldrelated field
Experience
At least 6 years of experience in delivering large enterprise Analytics projects
Overall experience of 08 10 years in Enterprise IT
The Industry to be hired from
Chemical/Pharma/FMCG
Manufacturing IT
Big 4 IT/ITES Organizations Analytics organizations
Skills
Proven experience of 6 years as an Data Scientist
Solid experience in data science ML modelling (Classification Regressions time series clustering pattern recognition) optimization reinforcement learning deep learning algorithms cloud computing architecture and big data management and reporting NLP and Generative AI
Knowledge of Python SQL Azure ML
Familiarity with business intelligence tools/ data Visualization tools Power BI
Demonstrates an understanding of the IT environment including enterprise applications like HRMS ERPs CRM etc.
Industry experience in Manufacturing
Competencies (behavioural skills) required
Excellent communication skills
Analytical skills and strong organizational abilities
Attention to detail
Problemsolving aptitude
Impact and influence across cross functional teams
Leadership Skills and Experience
Well organized highly system and processoriented approach
Good business partner with customer orientation.
Selfstarter who can manage a range of competing priorities and projects.
Ability to question status quo and bring in best in class practices.
Ability to inspire and rally team around business objectives and excellence
Remote Work :
No
Employment Type
Full Time
