Job Opportunities in India

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• Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques.
• Synthesize problems into data question(s).
• Convert data into practical insights.
• Analyze and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders.
• Collect Data, explore it, and perform analysis to extract information suitable to the business need. Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction.
• Decide approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data.
• Develop Data Science and Engineering Infrastructure &Tools.
• Derive key metrics suitable for the use-case and present the analysis to key stakeholder.

• 8-15 years of relevant Industry experience.
• A Bachelor’s or higher degree in Computer Science,Statistics,Mathematics or related disciplines.
• Proficiency in R is mandatory for this role.
• Ability to analyse data and communicate outcome to key stakeholders exploring new data source.
• Excellent coding skills in python, R, SQL etc. Understanding of cloud services.
• Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field.
• A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding.
• Experience in large scale product development is a plus.
• Exposure to Generative AI and Large Language Models.