**Experienced Full Stack Data Scientist – AI/ML Application Development and Spatial Perception**

Remote Full-time
Are you a data enthusiast with a passion for building innovative AI/ML solutions? Do you thrive in a fast-paced environment where you can apply your expertise to drive business growth and improve customer experiences? If so, we invite you to join blithequark's Spatial Perception Team (SPT) as a Full Stack Data Scientist. In this role, you will play a critical part in developing cutting-edge deep learning technologies that enable the creation of immersive AR and VR experiences. **About blithequark** blithequark is a leading technology company that is revolutionizing the way people interact with their devices. Our focus on AI/ML-based solutions has enabled us to develop innovative products that are changing the world. With a strong emphasis on research and development, we are constantly pushing the boundaries of what is possible. Our team of experts is passionate about building products that make a difference, and we are looking for talented individuals like you to join our journey. **Job Responsibilities** As a Full Stack Data Scientist at blithequark, you will be responsible for: * Implementing algorithms and assessment strategies to drive business growth and improve customer experiences * Conducting deep-dive failure analysis and sample mining to identify areas for improvement * Developing interpretation strategies for deep learning models to provide actionable insights * Producing and presenting significant data insights to stakeholders through visualizations * Using intensive statistical analysis and big data analysis to drive business decisions * Evaluating potential features based on customer needs to inform product development * Providing quantitative analysis of real-world trends and customer data to inform product roadmap and strategy * Creating mathematical models to predict outcomes and inform business decisions **Key Qualifications** To be successful in this role, you will need: * A Master's degree in Computer Science or a related field * A minimum of 2 years of experience in data science or a related field * Strong programming skills in languages such as Python, R, or Julia * Experience with deep learning frameworks such as TensorFlow or PyTorch * Strong statistical analysis and data visualization skills * Excellent communication and presentation skills * Ability to work collaboratively with cross-functional teams **Preferred Qualifications** * Experience with big data analysis and machine learning * Familiarity with cloud-based technologies such as AWS or Azure * Experience with data visualization tools such as Tableau or Power BI * Strong understanding of computer vision and spatial perception * Experience with AR and VR development **Benefits** As a member of the blithequark team, you will enjoy a range of benefits, including: * Competitive salary and bonus structure * Comprehensive health and dental insurance * Retirement savings plan * Access to discounted products and services * Opportunities for professional development and growth * Eligibility for discretionary bonuses and stock awards * Relocation assistance (if applicable) **Work Environment and Culture** blithequark is a dynamic and innovative company that values creativity, collaboration, and continuous learning. Our team is passionate about building products that make a difference, and we are committed to creating a work environment that is inclusive, diverse, and supportive. We offer a range of benefits and perks, including flexible work arrangements, on-site fitness classes, and access to cutting-edge technology. **How to Apply** If you are a motivated and talented data scientist who is passionate about building innovative AI/ML solutions, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you! What We Offer At blithequark, we offer a range of benefits and perks that support your career growth and well-being. Some of the benefits we offer include: * Competitive Salary and Bonus Structure : We offer a competitive salary and bonus structure that reflects your experience and qualifications. * Comprehensive Health and Dental Insurance : We provide comprehensive health and dental insurance to support your physical and mental well-being. * Retirement Savings Plan : We offer a retirement savings plan to help you plan for your future. * Access to Discounted Products and Services : We offer access to discounted products and services to support your personal and professional growth. * Opportunities for Professional Development and Growth : We offer opportunities for professional development and growth to support your career advancement. * Eligibility for Discretionary Bonuses and Stock Awards : We offer eligibility for discretionary bonuses and stock awards to recognize your contributions to the company. * Relocation Assistance (if applicable) : We offer relocation assistance to support your move to a new location. Our Culture At blithequark, we value creativity, collaboration, and continuous learning. Our team is passionate about building products that make a difference, and we are committed to creating a work environment that is inclusive, diverse, and supportive. We offer a range of benefits and perks that support your career growth and well-being, including: * Flexible Work Arrangements : We offer flexible work arrangements to support your work-life balance. * On-Site Fitness Classes : We offer on-site fitness classes to support your physical health and well-being. * Access to Cutting-Edge Technology : We offer access to cutting-edge technology to support your professional growth and development. How to Apply If you are a motivated and talented data scientist who is passionate about building innovative AI/ML solutions, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We look forward to hearing from you! Apply Now Apply for this job
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