Experienced Data Scientist - Machine Learning and AI for Customer Experience Enhancement at blithequark

Unlock Your Potential as a Data Scientist at blithequark blithequark is a trailblazer in the realm of entertainment and innovation, driven by an insatiable passion to push the boundaries of what's possible. With a legacy rooted in Walt's vision of continuous growth and improvement, we remain committed to crafting and delivering extraordinary experiences that captivate and inspire our visitors. As a Key Information Researcher within our esteemed Parks Encounters and Items division, you'll play a pivotal role in shaping the future of visitor experiences through cutting-edge data analysis and machine learning (ML) model development. About the Role This remote opportunity allows you to be an integral part of the blithequark family from the comfort of your own home. As a Data Scientist, you'll work closely with internal partners to drive the creation, implementation, and support of data analysis and ML models that power our attractions and deliver exceptional visitor experiences across Disney Encounters (DX). Reporting to Attractions Functional Innovation, you'll be at the forefront of innovation, leveraging your expertise to drive business growth and excellence. Key Responsibilities Facilitate and foster strong relationships with colleagues, providing thought leadership and driving initiatives to successful completion. Engage in research and collaborate with colleagues to drive ML strategies, identifying areas where business problems can be creatively solved through the application of ML. Lead and work alongside various specialists and data scientists to implement and scale ML solutions, creating enchanting experiences for our visitors and pushing the boundaries of operational objectives. Drive innovation, proofs of concept, technology cash drives, and customer interactions that lead to the expansion of top-tier AI platforms. Manage functional support and maintenance of ML-related products and services delivered by the team. Develop standard methodologies used in daily operations and collaborate with specialized units to plan, design, and execute large-scale projects in the AI space. Productionize ML algorithms in predictive analytics, clustering, image recognition, NLP, anomaly detection, etc., and evaluate their performance on real-world datasets. Collaborate with various teams to achieve goals in improving system performance, adhering to existing software practices that produce effective code, including automated testing, continuous integration, code style consistency, and code reviews. Essential Qualifications and Skills To excel in this role, you'll need: 2+ years of mastery in Python and predictive modeling experiences, such as TensorFlow, SparkMLib, PySpark, Light, MXNet, etc. 2+ years of expert-level experience in cloud platforms like AWS and GCP. Proficiency in SDLC, QA cycles, and Object-Oriented Programming Design Patterns. Expert-level experience in structured and unstructured data (i.e., images, video, text, etc.) and SQL relational and non-relational databases. 2+ years of experience with Workflow or another data workflow management instrument. Experience with amendment control programming, like GitHub and GitLab, Model Operations, and CI/CD pipelines. Strong systems integration architecture abilities, capable of transforming new tech into business solutions. A Master's degree in Information Science, Statistics, Mathematics, Computer Engineering, Computer Science, or a comparable technical background. Preferred Qualifications and Skills While not mandatory, having experience in the following areas can be a significant advantage: Docker Control frameworks Kubernetes Cloud arrangements in GCP or another cloud stage Atlassian Instruments like Jira and Confluence Agile advancement techniques Automated testing, continuous coordination, and continuous development Data representation and data monitoring instruments (e.g., Splunk, Plotly, Tableau) Sound analysis Text analysis A Ph.D. in Information Science, Statistics, Mathematics, Computer Engineering, Computer Science, or a comparable technical background. Career Growth and Learning Benefits At blithequark, we're committed to your growth and development. As a Data Scientist, you'll have the opportunity to work on cutting-edge projects, collaborate with talented professionals, and expand your skill set in a dynamic and supportive environment. Our culture encourages innovation, creativity, and continuous learning, ensuring that you stay at the forefront of your field. Work Environment and Company Culture As a remote employee, you'll enjoy the flexibility and comfort of working from home while being part of a vibrant and inclusive community. blithequark values diversity, equity, and inclusion, fostering a culture that is welcoming, collaborative, and empowering. Our work environment is designed to promote work-life balance, creativity, and productivity, ensuring that you can thrive and make a meaningful impact. Compensation, Perks, and Benefits blithequark offers a comprehensive compensation package that includes competitive salary, benefits, and perks designed to support your well-being and career growth. While specific details may vary, we're committed to providing a rewarding and fulfilling experience that goes beyond just a job. Join the blithequark Family If you're passionate about harnessing the power of data science and machine learning to create enchanting experiences, we invite you to join our team at blithequark. As a Data Scientist, you'll be at the forefront of innovation, driving business growth and excellence while being part of a community that values creativity, diversity, and inclusion. Apply now and embark on a journey that will challenge, inspire, and reward you. Apply for this job