**Experienced Full Stack Data Scientist – Cloud Application Development at arenaflex**

• *Join arenaflex, a leading global retailer, in shaping the future of data-driven decision-making. As a Principal Engineer – Data Analytics & Data Science, you will play a pivotal role in driving the strategic vision, design, and engineering of arenaflex's data analytics and reporting landscape.**

• *About arenaflex**

arenaflex is a multinational retailer with a strong commitment to innovation and customer satisfaction. As one of the world's largest and most successful retailers, we pride ourselves on our family-oriented work environment, where employees thrive and grow. arenaflex has been recognized as one of the "World's Best Managers" by Forbes, ranking seventh in their annual list.

• *Job Summary**

We are seeking an experienced and visionary data scientist to lead our data analytics and reporting efforts. As a Principal Engineer – Data Analytics & Data Science, you will be responsible for shaping the long-term technical strategy, driving innovation, and providing expert guidance to the team. You will work closely with cross-functional groups, including data researchers, business analysts, data engineers, and IT experts, to develop comprehensive data solutions.

• *Key Responsibilities**

• Lead and mentor a team of engineers, providing technical guidance, sharing best practices, and fostering a culture of continuous learning and growth.
• Drive current software practices through code reviews and design surveys.
• Collaborate on system design through clear interfaces across various components, code audits, and data/telemetry analysis.
• Develop "top-tier" engineering for our services by ensuring that services and components are distinct, modularized, secure, reliable, diagnosable, easily testable, and reusable.
• Improve test coverage for services; organize and execute integration tests; and resolve trouble spots.
• Ensure testability, compactness/checking, reliability, and practicality; and understand when code is ready to be shared and deployed.
• Focus on business needs through a data-driven approach.
• Investigate and advance automation, reliability, and testing for deployed items.
• Set the strategic vision for data analytics and reporting, aligning with organizational objectives. Provide leadership in directing the overall direction of data analytics technical drives.
• Design, develop, and enhance complex data models and reporting structures.
• Drive the design and execution of flexible and efficient data analytics and reporting architectures.
• Ensure the integrity, security, and performance of data products and reporting solutions by collaborating with teams, data design, and service groups.
• Define and execute the long-term technical strategy for data analytics, incorporating developments and industry trends.
• Stay up-to-date with emerging technologies and evaluate their relevance to the organization.
• Collaborate with cross-functional teams, including data researchers, business analysts, data engineers, platform specialists, and IT experts, to develop comprehensive data solutions.
• Foster a collaborative environment that encourages information sharing and expertise development. Lead technical authority discussions, lunch and learn sessions, and other community-building activities within the engineering community.
• Establish and implement data quality guidelines and best practices. Execute processes for data approval, cleansing, and precision.
• Assess and select suitable data analytics and reporting tools to address business needs. Lead requirement meetings and closely partner with platform and infrastructure teams during the assessment and execution of these tools.
• Collaborate with engineering and development teams to create and maintain documentation for data analytics processes, reporting architectures, and data models.
• Monitor the performance of data analytics and reporting systems; and provide technical leadership to drive reliability and flexibility of data products and reporting solutions.
• Execute measures to improve performance and investigate issues.
• Provide critical insights and recommendations based on data analysis to support decision-making at the organizational level.
• Recommend system upgrades to support business growth and advancing technology needs.
• Utilize arenaflex services, such as arenaflex SQL DW (Neurotransmitter), ADLS, arenaflex Event Hub, Universe, Databricks, Delta-Lake, to enhance and accelerate the delivery of our data products and services.
• Develop large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization.

• *Requirements**

• Proven track record with at least 15 years of active experience in data analytics and reporting roles.
• 5 years' experience in leadership or senior roles, demonstrating the ability to successfully guide and lead a team.
• 5 years' experience working with cloud technologies, such as ADLS, arenaflex Databricks, Flash, arenaflex Neurotransmitter, Universe DB, DBT, and other big data advancements.
• Demonstrated advanced proficiency in data analytics tools, languages, ML, and frameworks (e.g., Conos, PowerBI, SQL, Python, R).
• Capability in data visualization tools, such as Tableau, Power BI, or similar tools to effectively communicate insights.
• Demonstrated ability in working with cloud platforms, such as AWS, arenaflex, or Google Cloud, to design and implement flexible and efficient data analytics solutions.
• In-depth understanding and practical application of Lakehouse engineering principles, combining the best of data lakes and data warehouses for robust and flexible data management.
• High-level SQL skills. Strong understanding of social data sets and business data capacity to write complex SQL queries against various data sources.
• Experience managing high-volume and high-speed data streams, and designing systems that can handle the demands of real-time or near-real-time analysis.
• Experience in shaping the strategic vision for data analytics and reporting drives within an organization.
• Effective management of data analytics projects, including planning, execution, and delivery.
• Demonstrated ability to drive innovation, adapt to emerging technologies, and implement industry best practices.
• Shown ability to take ownership and accountability of critical issues and resolve them to closure.
• Strong critical thinking and problem-solving skills.

• *Preferred Qualifications**

• Bachelor's or Master's degree in Computer Science, Informatics, Information Science, or related technical discipline.
• Important industry certifications are a plus.
• Experience in retail, manufacturing, e-commerce, or supply chain.

• *What We Offer**

• Competitive salary and benefits package
• Opportunity to work with a leading global retailer
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Recognition and rewards for outstanding performance
• Flexible work arrangements, including remote work options

• *How to Apply**

If you are a motivated and experienced data scientist looking to join a dynamic team, please submit your application through our website. We look forward to hearing from you!