AI Lead
hace 1 mes
Responsibilities:
· '*Works with the business team to identify the right business problem, gather the requirements and data required to answer the same.
· *Data exploration , hypothesis testing and statistical modeling are part of daily activities.
· *Involved in development , testing, evaluation and optimisation of models developed.
· *Analyzes data and generates insights that can articulated to business stakeholders.
· *Develops hypothesis for testing in consultation with Principal/Domain SME and Business teams.
· * Coordinates in communicating the data needs with both technology and business teams to ensure that right data is captured for analysis and modeling.
· Ensures that all the deliverables meets the delivery excellence standards and meets the stakeholders' expectations.
· * Identifies risks to project execution and works with stakeholders to mitigate the same.
· * Execute the design, analysis, or evaluation of assigned projects using sound engineering principles and adhering to business standards, practices, procedures, and product / program requirements.
· Collaborate and coordinate with Technology and Business teams for all data needs.
· * Expert level proficiency in data handling (SQL).
· Create models using one or more of the platforms like R, SAS, Python, Matlab Model creation would involve one or more technqiues
· Provide thoughtleadership and dependable execution on diverse projects.
· Provide expertise thru PoCs and PoVs.
· Prepare a design, requirement document.
· Document all modeling steps in a systematic way including modeling process, insights generated , presentations , model validation results and checklists built in the project.
· Mentor a team of Data Scientists.
· Set the timelines and monitor the progress of the project.
· Identify, priorities and deploy action items for competency development
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