Unlock the Future of Intelligent Productivity
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You will play a key role in shaping the future of intelligent productivity tools. As a data scientist, you will work with cross-functional teams to design, implement, and evaluate models and algorithms that continuously adapt and improve based on user interactions and feedback.
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Your core mission will be to deliver exciting innovation in our AI-powered products, revolutionizing how people work. You will leverage advanced machine learning and information retrieval to predict and optimize content selection, representation, and lifecycle management.
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Responsibilities include developing and evaluating ML models using prepared datasets, customer feedback, and novel training/fine-tuning algorithms for language models. You will also write production-quality code, apply debugging best practices, and stay current with industry trends.
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Additionally, you will drive customer-centric solutions by aligning with business goals and managing stakeholder expectations. You will collaborate cross-functionally to define success metrics and improve AI quality at scale.
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To succeed, you will need a Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field, as well as 4+ years of experience in predictive analytics, statistics, or research. Experience with synthetic data generation and data management for evaluation/training is also required.
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A Master's degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field is preferred, along with experience with large-scale embedding models and transformer architectures.
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* A growth mindset with resilience and a passion for learning.
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* A commitment to diversity, inclusion, and authentic collaboration.
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* Effective communication skills with the ability to engage diverse audiences.
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* An ownership mindset with the ability to deliver results and manage expectations.
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