Job Information
Intuit Senior Data Scientist in Mountain View, California
Overview
The Customer Success (CS) Services Analytics team is seeking an exceptional Senior Data Scientist, to analyze both structured and unstructured data collected through interactions between our customers and experts to transform customer experience. The ideal candidate has experience applying machine learning and statistical modeling to extract insights from large datasets of recorded calls, chats, video sessions. This is an exciting opportunity to transform the quality of service and help improve customer experience across the business. If you’re analytically-minded with expertise in applying advanced analytics techniques in driving service excellence, this could be an exciting role for you.
What you'll bring
Prior experience working in a call center environment . Knowledge of call center technologies - things like phone systems, CRM software, call recording systems, etc.
6+ years experience building ML models utilizing audio, speech, and video data - strong signal processing, ML/DL and NLP foundations are needed along with hands-on expertise using Python audio/speech libraries (Speech Recognition, Librosa, PyDub, PyTorch etc.)
Experience with machine learning and deep learning models for speech and NLP tasks. Knowledge of techniques like Recurrent Neural Networks, Transformers etc.
Ability to manipulate and process large, complex multimedia datasets
Strong communication and presentation skills to executive audiences
MS or PhD in Computer Science, Statistics, Math or related field preferred
How you will lead
Work cross-functionally with our Partners, Quality Management, and service delivery teams to understand key business challenges and objectives and build tech driven models and insights to address them
Leads the full cycle of iterative experimentation, big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
Develop and implement natural language processing (NLP) models using large language models (LLMs) like GPT-3 to analyze call center conversation transcripts and identify key themes, topics, and sentiment
Clearly communicate analytical insights and model results to key stakeholders through reports, presentations, and visualization tools.
Develop interactive dashboards and visualizations to track service quality KPIs and insights over time
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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