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Job Location: Chennai( Ashok Nagar )
Roles and Responsibilities
- Analyze data to unlock insights: Ability to identify relevant insights and actions from data. Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.
- Bring in Leadership for AI an ML: Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
- Exploratory Data Analysis (EDA) and Generate Insights: Analyze internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data, evaluate data points across enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights.
- DS and ML Model Identification and Training: Identify, test and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance and accuracy as required. Experiment and identify features from datasets that will help influence model outputs. Determine what models will need to be deployed, data points that need to be fed into models and aid in deployment and maintenance of models.
- Develop partnerships with Business SMEs and Data Analysts: Utilize data expertise as well as best practices to drive innovation and adoption with the business community on advanced analytics
- Educate and train: The Data Scientist should be knowledgeable about new data initiatives and how advanced analytics will help solve business problems.
Desired Candidate Profile
- Progressive work experience in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field is required.
- A bachelors degree in computer science, statistics, applied mathematics (Ph.D.), or a related quantitative field is preferred.
- The ideal candidate will have a combination of analytical skills, data governance skills, IT skills and industry knowledge with a technical or computer science degree.
- At least 5 years or more of work experience in Data science and ML technologies.
- At least 2 years or more of work experience working with business stakeholders.
Perks and Benefits
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