About AllShore Talent: AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide.
Specializing in IT and software development, design, administrative support, digital marketing, and more.
AllShore connects organizations with skilled talent to meet diverse business needs.
About The Client Our client is a global technology company pioneering the future of immersive reality.
They build end-to-end immersive experiences and develop technology that enables people to experience entertainment like never before.
They work across three primary markets—sports and Entertainment, Science and Education, and Parks and Attractions—while pushing the boundaries of design, technology, and service.
The world's biggest entertainment brands use their technology to create mind-blowing immersive experiences for millions of guests.
They are a rapidly growing organization with ambitious plans for 2024 and beyond.
They have built a strong company culture based on mutual respect, accountability to each other, intense curiosity, and a bold shared vision.
Their technology is used around the world and across many industries and markets to create mind-blowing immersive experiences for millions of guests, and they're democratizing access to the most sought-after experiences on the planet.
Project Details: As a Data Scientist, you will play a pivotal role in designing, implementing, automating, and maintaining models to impact revenue and customer retention.
Also to enhance our customer experience and provide forecasting and predictive analysis based on our products.
You will be responsible for designing robust, scalable, and resilient models and workflows to ensure data is readily available for stakeholders to implement change across the org.
Profile Descriptions: The ideal candidate is a solutions-oriented person who can learn new technologies quickly and who can become competent with all layers of the development platform.
They should be willing to roll up their sleeves and be familiar with various technologies but know how to choose the best technology for the job.
Ideally, they are familiar with live entertainment and broadcasts as well as digital, tech, and streaming media.
If you think you have the skills and are up for the challenge, consider this your calling.
Responsibilities : Develop and maintain Data Science Models related to such things as forecasting, dynamic ticket pricing, marketing metrics, etc.
Adhere to software development best practices in developing pipelines and work across the data org.
Continuous Learning: Stay informed about industry trends and emerging technologies related to Data Science/MLOps and Azure and AWS Cloud platforms.
Communication: Exemplify excellent written and verbal communication skills and the ability to tailor technical communications to any audience deftly.
Be Audacious: Push the limits, try new technologies, take calculated risks, swing for the fences, and proactively search for the best solutions and ideas in the marketplace.
Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or a related field, or relevant work experience.
4+ years of Data Science experience, preferably working with fast-paced analytical data loads.
Experience working with Databricks or other data lakehouse technologies.
Experience working with various filesystems/storage types.
Familiarity with Delta Tables or other lakehouse table architectures (iceberg, delta, etc).
Familiarity with scripting languages for automation and configuration management.
Strong understanding of cloud computing concepts and hands-on experience with Azure and/or AWS.
Experience using Python and Pyspark for Data Science/ML workflows Excellent problem-solving and troubleshooting skills, with a keen attention to detail.
Strong communication and interpersonal skills, with the ability to collaborate effectively with clients and team members.
Driven to automate your processes, test continually, and document your work.
You're not afraid of an open, candid, and respectful work environment.
Experience in working with a cross-functional, distributed team from concept through completion and future iterations, including agile methodologies.
Excellent time management skills.