Data Scientist - Analytics
Job Description
About the Client:
\nOne of the leading Manufacturing organization
\nKey Responsibilities:
\n- \n
- Collaborate with stakeholders to plan, design, develop, test, and maintain the digital data center and analytics initiative. \n
- Identify areas to apply optimization or predictive analytics in the Business. Conceptualize and create a charter for deploying machine learning models. \n
- Document the technology requirements and build use cases using the appropriate algorithms for the business functions and enable their deployment for go-live. \n
- Clearly communicate processes, potential solutions, and use-cases through documentation, wireframes, interaction flows, prototypes, and visuals. \n
- Participate in the full lifecycle of AI, ML projects, from ideation and model development to implementation, validation, and deployment. \n
- 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. \n
- Work to understand and challenge solutions proposed by analytics partners. Be responsible for the quality and timely delivery of solutions delivered to the Business. \n
- Design and develop predictive models, ML algorithms, statistical analyses and feature engineering to solve complex problems. \n
- Work with business or functions in designing front-end business intelligence multi-dimensional PowerBi dashboards in an effective manner. \n
Educational Qualification
\nGraduate/Post Graduate degree Computer Science, Statistics, Data Science or a related field
\nExperience
\nAt least 6 years of experience in delivering large enterprise Analytics projects
\nOverall experience of 08 - 10 years
\nSkills
\nProven experience of 6 + years as an Data Scientist
\nSolid experience in data science ML modelling
\nKnowledge of Python, SQL , Azure ML
\nFamiliarity with business intelligence tools/ data Visualization tools - Power BI
\nIndustry experience in Manufacturing
\nCompetencies required
\nExcellent communication skills
\nAnalytical skills and strong organizational abilities
\nAttention to detail
\nProblem-solving aptitude
\nImpact and influence across cross functional teams
\n