Experienced Full Stack Data Analyst – AI and Machine Learning Model Development for careerzynith Encounters
At careerzynith, we're a leading innovator in the entertainment and innovation industry, driven by a passion for creating extraordinary experiences for our visitors. Our commitment to innovation and excellence is rooted in the legacy of Walt Disney, who envisioned a future where technology and imagination come together to push the boundaries of what's possible. As a Key Information Researcher in our team, you'll play a critical role in shaping the future of careerzynith Encounters by developing and implementing AI and machine learning models that enhance our visitor experiences.
**Join the careerzynith Family and Shape the Future of Entertainment**
We're seeking an experienced Full Stack Data Analyst to join our team of innovators and technologists. As a remote position, you'll have the flexibility to work from the comfort of your own home while being part of a dynamic and collaborative team. No prior experience is necessary, just a passion for customer service and a love for all things careerzynith!
**Your Key Responsibilities**
As a Full Stack Data Analyst, you'll be responsible for:
* Collaborating with cross-functional teams to drive the development and implementation of AI and machine learning models that enhance our visitor experiences
* Working with data scientists and engineers to design and implement data pipelines, data warehousing, and data visualization solutions
* Developing and maintaining data models, algorithms, and statistical techniques to drive business insights and decision-making
* Collaborating with stakeholders to identify business requirements and develop data-driven solutions to drive business growth
* Leading and working with teams to execute and scale machine learning solutions to create magical experiences for our visitors
* Driving innovation, idea generation, and proof-of-concept development to drive top-tier AI and machine learning solutions
* Managing functional support and maintenance of ML-related products and services delivered by the team
* Building standard techniques used in everyday tasks and working with specialty units to plan, design, and execute large-scale projects in the AI space
* Productionizing machine learning models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assessing their performance on real-world datasets
* Collaborating with cross-functional teams to achieve goals in improving system performance and coordinating with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews
**Required Capabilities and Abilities**
To succeed in this role, you'll need:
* 2+ years of experience in Python and predictive modeling, including experience with TensorFlow, SparkMLib, PySpark, Light, MXNet, and more
* 2+ years of experience in cloud platforms like AWS and GCP
* Proficiency in SDLC, QA cycles, and Agile programming methodologies
* Master-level experience in structured and unstructured data (i.e., images, video, text, etc.) and SQL social and non-social datasets
* 2+ years of experience with Windstream or another data workflow management tool
* Experience with version control software, like GitHub and GitLab, Model Operations, and CI/CD pipelines
* Experience in driving discovery processes with partners to identify business requirements and develop data-driven solutions
* Strong systems integration engineering skills, capable of transforming new tech into business solutions
**Preferred Capabilities**
While not required, experience in the following areas is highly desirable:
* Experience with Docker
* Experience with control frameworks
* Experience with Kubernetes
* Experience with cloud platforms in GCP or another cloud platform
* Experience with Atlassian tools like Jira and Confluence
* Experience with Agile development techniques
* Experience with automated testing, continuous integration, and continuous deployment
* Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau)
* Experience with audio analysis
* Experience with text analysis
**Education**
A Bachelor's or Master's degree in Computer Science, Information Science, Statistics, Mathematics, or a related technical field is required. A Ph.D. in a related field is highly desirable.
**Join the careerzynith Team and Shape the Future of Entertainment**
If you're passionate about innovation, customer service, and all things careerzynith, we encourage you to apply for this exciting opportunity. As a member of our team, you'll have the chance to work on cutting-edge projects, collaborate with talented professionals, and contribute to the creation of magical experiences for our visitors. Apply now and join the careerzynith family!
Apply Job!
Apply for this job
**Join the careerzynith Family and Shape the Future of Entertainment**
We're seeking an experienced Full Stack Data Analyst to join our team of innovators and technologists. As a remote position, you'll have the flexibility to work from the comfort of your own home while being part of a dynamic and collaborative team. No prior experience is necessary, just a passion for customer service and a love for all things careerzynith!
**Your Key Responsibilities**
As a Full Stack Data Analyst, you'll be responsible for:
* Collaborating with cross-functional teams to drive the development and implementation of AI and machine learning models that enhance our visitor experiences
* Working with data scientists and engineers to design and implement data pipelines, data warehousing, and data visualization solutions
* Developing and maintaining data models, algorithms, and statistical techniques to drive business insights and decision-making
* Collaborating with stakeholders to identify business requirements and develop data-driven solutions to drive business growth
* Leading and working with teams to execute and scale machine learning solutions to create magical experiences for our visitors
* Driving innovation, idea generation, and proof-of-concept development to drive top-tier AI and machine learning solutions
* Managing functional support and maintenance of ML-related products and services delivered by the team
* Building standard techniques used in everyday tasks and working with specialty units to plan, design, and execute large-scale projects in the AI space
* Productionizing machine learning models in predictive analytics, clustering, image recognition, NLP, anomaly detection, and more, and assessing their performance on real-world datasets
* Collaborating with cross-functional teams to achieve goals in improving system performance and coordinating with existing software practices that produce efficient code, including automated testing, continuous integration, code style consistency, and code reviews
**Required Capabilities and Abilities**
To succeed in this role, you'll need:
* 2+ years of experience in Python and predictive modeling, including experience with TensorFlow, SparkMLib, PySpark, Light, MXNet, and more
* 2+ years of experience in cloud platforms like AWS and GCP
* Proficiency in SDLC, QA cycles, and Agile programming methodologies
* Master-level experience in structured and unstructured data (i.e., images, video, text, etc.) and SQL social and non-social datasets
* 2+ years of experience with Windstream or another data workflow management tool
* Experience with version control software, like GitHub and GitLab, Model Operations, and CI/CD pipelines
* Experience in driving discovery processes with partners to identify business requirements and develop data-driven solutions
* Strong systems integration engineering skills, capable of transforming new tech into business solutions
**Preferred Capabilities**
While not required, experience in the following areas is highly desirable:
* Experience with Docker
* Experience with control frameworks
* Experience with Kubernetes
* Experience with cloud platforms in GCP or another cloud platform
* Experience with Atlassian tools like Jira and Confluence
* Experience with Agile development techniques
* Experience with automated testing, continuous integration, and continuous deployment
* Experience with data representation and data validation tools (e.g., Splunk, Plotly, Tableau)
* Experience with audio analysis
* Experience with text analysis
**Education**
A Bachelor's or Master's degree in Computer Science, Information Science, Statistics, Mathematics, or a related technical field is required. A Ph.D. in a related field is highly desirable.
**Join the careerzynith Team and Shape the Future of Entertainment**
If you're passionate about innovation, customer service, and all things careerzynith, we encourage you to apply for this exciting opportunity. As a member of our team, you'll have the chance to work on cutting-edge projects, collaborate with talented professionals, and contribute to the creation of magical experiences for our visitors. Apply now and join the careerzynith family!
Apply Job!
Apply for this job