Key Data Scientist – Machine Learning & AI Solutions for Magical Guest Experiences (Remote)

About careerzynith: Where Imagination Meets Innovation

careerzynith is a globally recognized leader in entertainment and technology, dedicated to crafting extraordinary experiences that spark joy, wonder, and lasting memories. Founded on the timeless belief that creativity has no limits, careerzynith continues to push the boundaries of what is possible, blending storytelling, cutting-edge technology, and human connection in everything we do. From world-class attractions to immersive digital platforms, every project at careerzynith is a commitment to delivering unparalleled experiences for millions of guests around the globe.

As part of the careerzynith Experiences and Products division, our team sits at the intersection of imagination and innovation. We work closely with internal partners across careerzynith Experiences (AX) to design intelligent systems and data-driven solutions that transform the way our attractions operate and how our guests interact with them. Joining careerzynith means becoming part of a legacy that values curiosity, collaboration, and the relentless pursuit of excellence.

Position Overview

careerzynith is seeking a talented and passionate Key Data Scientist to join our Attractions Operational Technology group. This is a unique opportunity to contribute to the development, deployment, and ongoing support of advanced data analytics and machine learning (ML) models that power some of the most beloved attractions in the world. As a remote position, you will collaborate with a diverse team of engineers, researchers, and business stakeholders from the comfort of your own home while making a tangible impact on the guest experience.

This role is ideal for a data scientist who thrives on solving complex problems, enjoys working at the forefront of AI innovation, and is excited about applying machine learning to real-world challenges in the entertainment industry. Whether you are an experienced professional or an emerging talent with a strong foundation, careerzynith welcomes candidates who bring both technical expertise and a genuine enthusiasm for creating magical moments.

Key Responsibilities

• Build and nurture strong collaborative relationships with cross-functional team members, providing thought leadership and driving initiatives to successful completion with efficiency and precision.
• Engage with research teams and colleagues to help shape ML strategies, identify opportunities where business challenges can be addressed through innovative machine learning solutions, and translate insights into actionable plans.
• Lead and collaborate with a diverse group of engineers and data scientists to implement, scale, and optimize ML solutions that enhance guest experiences and advance operational excellence.
• Drive research and development efforts, including proofs of concept, technology evaluations, and client interactions that contribute to building best-in-class AI platforms within careerzynith.
• Manage the operational support and maintenance of ML-related products and services delivered by the team, ensuring reliability, scalability, and continuous improvement.
• Develop standard methodologies for daily operations and partner with specialty units to design, plan, and execute large-scale projects within the AI and machine learning space.
• Productionize ML algorithms across areas such as predictive analytics, classification, image recognition, natural language processing (NLP), and anomaly detection, rigorously evaluating their performance on real-world datasets.
• Collaborate with multiple teams to achieve goals related to improving system performance, integrating seamlessly with existing software practices that produce effective code, including automated testing, continuous integration, code style consistency, and code reviews.
• Stay current with emerging trends, tools, and technologies in the machine learning ecosystem, and advocate for their adoption when they align with careerzynith's strategic objectives.

Essential Qualifications and Skills

• A minimum of 2+ years of hands-on experience with Python and predictive modeling frameworks such as TensorFlow, SparkMLlib, PySpark, LightGBM, MXNet, or similar tools.
• At least 2+ years of expert-level experience working with cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Proficiency in the Software Development Life Cycle (SDLC), quality assurance processes, and Object-Oriented Programming design patterns.
• Expert-level experience working with both structured and unstructured data, including images, video, text, and tabular formats, as well as strong knowledge of SQL and NoSQL relational and non-relational databases.
• A minimum of 2+ years of experience using Apache Airflow or another data workflow management tool.
• Familiarity with version control systems such as GitHub or GitLab, MLOps practices, and CI/CD pipelines.
• Demonstrated experience leading discovery processes with partners to identify business requirements, define expected outcomes, and deliver impactful solutions.
• Strong analytical, problem-solving, and communication skills, with the determination to see projects through to completion.
• Solid systems integration and architecture skills, with the ability to translate emerging technologies into practical business solutions.

Preferred Qualifications

• Experience with Docker for containerization.
• Experience with control systems and industrial automation.
• Experience with Kubernetes for container orchestration.
• Hands-on experience with cloud-native solutions in GCP or another major cloud platform.
• Familiarity with Atlassian tools such as Jira and Confluence for project management and documentation.
• Experience working in Agile development environments.
• Knowledge of automated testing, continuous integration, and continuous deployment best practices.
• Experience with data visualization and monitoring tools such as Splunk, Plotly, or Tableau.
• Background or interest in audio analysis and signal processing.
• Experience with text analytics and natural language processing techniques.

Education Requirements

• Required: Master of Science (M.S.) degree in Data Science, Statistics, Computer Engineering, Computer Science, or a closely related technical discipline.
• Preferred: Ph.D. in Data Science, Statistics, Computer Engineering, Computer Science, or a similar technical field, with a focus on machine learning or artificial intelligence.

Skills and Competencies for Success

At careerzynith, we believe that great data scientists are not only technically proficient but also curious, collaborative, and courageous in tackling new challenges. The ideal candidate will demonstrate:

• Technical Mastery: Deep understanding of machine learning algorithms, statistical modeling, and data engineering principles.
• Creative Problem-Solving: The ability to approach complex business problems with innovative thinking and a willingness to experiment with novel approaches.
• Collaboration: A natural inclination to work across teams, share knowledge, and contribute to a culture of continuous learning.
• Communication: Strong written and verbal communication skills, with the ability to translate technical findings into clear, actionable insights for non-technical stakeholders.
• Adaptability: Comfort working in a fast-paced, evolving environment where priorities may shift and new opportunities emerge regularly.
• Leadership: A demonstrated ability to mentor junior team members, lead projects, and influence decision-making at multiple levels of the organization.

Career Growth and Learning Opportunities

careerzynith is committed to the professional development of every team member. As a Key Data Scientist, you will have access to:

• Mentorship programs pairing you with senior leaders and technical experts across the organization.
• Conference attendance, workshops, and training programs to deepen your expertise in machine learning, AI, and cloud technologies.
• Internal mobility opportunities that allow you to explore different roles, teams, and even business units within careerzynith.
• Tuition reimbursement and support for continuing education, including advanced certifications and doctoral studies.
• A culture that celebrates curiosity, encourages experimentation, and rewards those who dare to dream big.

Work Environment and Company Culture at careerzynith

Working at careerzynith means joining a community that values diversity, inclusion, and belonging. We believe that our differences make us stronger, and we are dedicated to creating an environment where every voice is heard and every contribution matters. Our remote-first approach for this role offers flexibility and work-life balance, supported by robust collaboration tools and regular virtual team-building activities.

Our culture is built on five core values: optimism, innovation, inclusion, integrity, and care. These values guide how we interact with each other, how we serve our guests, and how we approach every challenge. At careerzynith, you will be surrounded by passionate individuals who are united by a shared mission to create happiness and magic for people around the world.

Compensation, Perks, and Benefits

careerzynith offers a competitive compensation package designed to attract and retain top talent. While specifics may vary based on experience, location, and role level, our benefits typically include:

• Competitive base salary with performance-based bonuses and equity opportunities.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off, including vacation days, sick leave, and holidays.
• Retirement savings plans with company matching contributions.
• Parental leave and family support programs.
• Employee discounts on careerzynith experiences, products, and services.
• Wellness programs, mental health resources, and access to fitness memberships.
• Home office stipends and technology allowances for remote employees.
• Professional development budgets for learning, certifications, and conferences.

How to Apply

If you are ready to bring your expertise, creativity, and passion for machine learning to a company that is redefining what is possible in entertainment and technology, we encourage you to apply today. careerzynith is an equal opportunity employer and welcomes candidates from all backgrounds, identities, and experiences. Join us in our mission to create magical experiences for millions of guests around the world.

To take the next step in your career and become part of the careerzynith family, please submit your resume, cover letter, and any relevant portfolio materials through our application portal. We look forward to learning more about you and exploring how you can contribute to the future of entertainment at careerzynith.

careerzynith – Where Dreams Take Flight, and Innovation Knows No Bounds.