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Position OverviewQuid is an AI-driven Research platform that is used by many of the largest enterprises around the world to extract insights from unstructured data. Our mission to inspires full-picture thinking by drawing connections across massive amounts of written content.The Role:Quid seeks a head of Data science to lead our core Data science team, Applied Data Science team and Data Science engineering team. In this position, you will be responsible for leading a world class data science team, working closely with Product and Engineering groups to set the R&D direction for the team. You will also be mentoring other data scientists and nurturing collaboration and learning within the organization. The Opportunity: Tackle the most impactful challenges of Quid thru innovation and research, pushing the boundaries of NLP/ML technologies Define the data science strategy and research investments for long term returns for Quid Lead the data science team and hire and mentor a highly skilled data science team Partner with Engineering, Product, UX and Business leaders to build highly impactful product features and IP that benefits our customers.Your Qualifications: 5+ years of experience in Data science and design/implementation of ML models 3+ years of leading and mentoring a team of highly skilled Data scientists Passionate, creative, and collaborative leadership skills Excellent verbal, written, and presentation skills A successful track record working from conception to delivery showing huge business impact Excellent educational background (Ph.D. in machine learning, computer science, statistics, or related fields ) and strong NLP skills preferred.Please note before submitting your application: As a company, we take hiring very seriously and we do our best to follow up with every potential fit. Interviewing with Quid may include video and phone interviews, written projects, and/or onsite interviews. Thank you for applying! Quid is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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