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 developmentMust Have SkillsEXPERIENCE OF +6 YEARS IN:· Azure Open AI Service· AWS Machine Learning· Deep Learning· Python· Bachelor Degree complete.· English conversational (at least 65%, preference advanced)Good To Have teh next Skills but not mandatory:· Spark ML· Statistics· Transformer· EDA(Exploratory Data Analysis)· Google Vertex AI· D365 Common Data Service· Google Cloud Natural Language· Dialogflow Virtual Agents· Dialogflow Agent Assist· IBM Watson Natural Language· Knowledge Graph· TensorFlow Quantum· Azure Computer Vision· ML Ops· DataRobot· Rust· Neuro AI· Dataiku· Machine Learning· Azure Cognitive Search· Cloud AutoML· BigQuery ML· AutoML Tables· Dialogflow· Tensorflow Serving· OpenCV· Artificial Intelligence· Amazon Sagemaker· Databricks· IoT· Google Dialogflow· Natural Language Processing· PySpark· PyTorch· Chatbots· Azure BOT Service· R Shiny· R Studio· keras· Tensorflow· BayesiaLabs· Octave· SPSS· Alteryx· Azure Machine Learning· Watson· Vertex· Retail - Markdown Optimization· Apache Hadoop· R Statistical Package· MS Excel· Search Engine Optimization· MATLAB· SAS
