Experienced Full Stack Data Scientist – Omni Channel Examination and Analysis

At arenaflex, we're on a mission to revolutionize the way we understand and interact with our customers. As a Senior Data Scientist, you'll play a critical role in driving business growth and innovation by leveraging cutting-edge predictive models and advanced analytics. If you're passionate about data-driven decision making and have a knack for storytelling, we want to hear from you.

About arenaflex

arenaflex is a leading global entertainment and media company that creates and distributes some of the most beloved brands in the world. Our CPGP (Consumer Products, Games, and Publishing) group is responsible for developing and selling Disney products across the globe. We're committed to innovation, creativity, and excellence in everything we do.

Job Summary

We're seeking an experienced Full Stack Data Scientist to lead our Product Frameworks and Examination group. As a Senior Data Scientist, you'll be responsible for breaking down and analyzing large datasets, developing predictive models, and creating actionable insights that drive business growth. You'll work closely with our Information Science team, Examiners, and Business Pioneers to design and implement solutions that meet our customers' needs.

Key Responsibilities

* Provide strategic vision and leadership for the Information Science group, focusing on Omni Channel examination across both brick-and-mortar and e-commerce platforms.

• Lead cross-functional teams, collaborating with Examiners, Specialized Associates, and Business Pioneers to develop an innovation roadmap based on business needs.
• Interpret business requirements into precise product specifications to guide development.
• Lead design thinking meetings, aligning strategies to business drivers, challenges, and long-term objectives.
• Design and implement effective data pipelines to address business issues, utilizing specialized tools and retail frameworks.
• Set and execute Information Science group best practices and lead code audits for colleagues.
• Create compelling visuals, diagrams, and graphs that resonate with data, tailored to various audiences.
• Utilize advanced analytical techniques (regression, AI, clustering) to drive significant insights.

Requirements

* 2+ years' experience developing Examination, Measurable, or AI models to extract insights and address business challenges, preferably in a retail setting.

• Capability in web analysis and customer segmentation using data to drive informed decisions and improve online experiences.
• Proven ability to lead small teams in rapid and accurate data analysis, feature definition, and creative problem-solving for business challenges.
• Cloud stage/tech capability.
• Aptitude in AI or machine learning methods.
• Ability to investigate and underlying driver analysis.
• Successful in fast-paced, evolving conditions.
• Preferred knowledge of different project management methodologies (waterfall, agile, scrum).
• Proficient relational skills for effective team and individual communication.
• Capability in various data technology areas:

+ Data pipelines and ETL tools (e.g., SQL, SSIS, Knime, Alteryx, Scene Prep) + Database platforms including Snowflake and SQL Server + Preparing languages (e.g., Snowscript, JavaScript, VBA, Python) + Factual and Information Science languages (e.g., R, SAS, Python for Information Science) + Utilization of AI strategies.

• Experience with advanced analytical systems (e.g., regression analysis, clustering, statistical induction, theory testing, p-values, causal inference, Random Forest, Bagging, Boosting, Time Series).

What We Offer

* Competitive salary of $26/hour

• Opportunity to work with a global entertainment and media company
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package
• Flexible remote work arrangement

How to Apply

If you're a motivated and results-driven data scientist with a passion for innovation and creativity, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply for this job