Experienced Full Stack Data Scientist – AI and Machine Learning Development

Join arenaflex in shaping the future of data-driven decision making

Are you passionate about harnessing the power of data to drive business growth and innovation? Do you have a knack for building and deploying AI and machine learning models that deliver actionable insights? If so, we invite you to join arenaflex as an Experienced Full Stack Data Scientist, where you'll play a key role in shaping the future of data-driven decision making.

About arenaflex

arenaflex is a leading innovator in the entertainment industry, with a rich history of pushing the boundaries of storytelling and customer engagement. Our Direct to Buyer's (DTC) Information Science group is at the forefront of this innovation, using advanced data analysis and machine learning to unlock new opportunities for growth and customer satisfaction. As a member of our team, you'll have the opportunity to work with a talented group of data scientists, engineers, and designers to develop and deploy cutting-edge data-driven solutions that drive business results.

Job Summary

We're seeking an Experienced Full Stack Data Scientist to join our team, where you'll work closely with cross-functional groups to develop and deploy AI and machine learning models that drive business growth and customer satisfaction. As a key member of our team, you'll be responsible for building and maintaining data pipelines, creating and assessing AI models, and working with natural language processing (NLP) algorithms to extract insights from text-based data. You'll also be responsible for building dashboards and visualizations to communicate your findings to both technical and non-technical stakeholders.

Key Responsibilities

* Build and maintain data pipelines to collect, clean, and prepare data for AI models

• Create and assess AI models to extract insights from data, make predictions, and provide recommendations
• Work with NLP algorithms to process and extract data from text-based information
• Build dashboards and visualizations to communicate findings to technical and non-technical stakeholders
• Collaborate with cross-functional teams to develop and deploy data-driven solutions
• Develop and maintain expertise in AI and machine learning technologies, including Python, Scikit-Learn, Pandas, and SQL

Essential Qualifications

* Bachelor's degree in a quantitative field, such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, Econometrics, or a related field

• At least 2 years of experience in data science, with a focus on AI and machine learning
• Profound understanding of AI concepts and statistical methods
• Ability to extract insights and recommendations from data to inform model development and business decisions
• Experience working with ML frameworks like Scikit-Learn, and data handling libraries like Pandas
• Understanding of SQL and distributed data technologies
• Familiarity with data analysis and visualization tools like Streamlit, Tableau, Looker, and others

Preferred Qualifications

* Master's or Ph.D. in a quantitative field, such as Computer Science, Engineering, Mathematics, Statistics, Operations Research, Econometrics, or a related field

• Experience creating and deploying AI models in production environments
• Familiarity with NLP strategies, text embedding models, and knowledge of Generative Adversarial Networks (GANs) and Large Language Models (LLMs)
• Experience integrating data science solutions into business operations and operationalizing ML models

What We Offer

* Competitive salary and benefits package

• Opportunity to work with a talented team of data scientists, engineers, and designers
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Access to cutting-edge technologies and tools
• Recognition and rewards for outstanding performance

How to Apply

If you're passionate about data science and AI, and you're looking for a challenging and rewarding opportunity to join a leading innovator in the entertainment industry, we invite you to apply for this exciting role. Please submit your resume and a cover letter that highlights your experience and qualifications for this position. Apply Now! Apply for this job