Senior Data Scientist – Advanced Analytics & Predictive Modeling for Omni-Channel Retail & E-Commerce Solutions

Join arenaflex as a Senior Data Scientist

Are you ready to transform data into actionable insights that drive business innovation? arenaflex is seeking a talented and passionate Senior Data Scientist to join our dynamic Product Frameworks and Examination group within the Shopper Items, Gaming, and Distributing (CPGP) division. This is your opportunity to leverage your analytical expertise at one of the most innovative companies in the world, where your insights will directly influence how we connect with millions of customers across both brick-and-mortar and e-commerce platforms.

At arenaflex, we believe that data is the cornerstone of every great decision. As a Senior Data Scientist, you will play a pivotal role in shaping the future of our retail analytics capabilities. You'll lead high-impact projects, mentor emerging talent, and collaborate with cross-functional teams to deliver insights that matter. If you're ready to take your career to the next level while working with cutting-edge technology and a team of industry experts, we invite you to explore this exciting opportunity.

About the Product Frameworks and Examination Group

The Product Frameworks and Examination group serves as the analytical backbone of arenaflex's CPGP division, which designs, manufactures, and distributes incredible products to customers worldwide. Our team is dedicated to turning complex datasets into meaningful business intelligence that drives strategic decision-making across all channels. We pride ourselves on fostering an environment where curiosity thrives, innovation is celebrated, and data-driven thinking is at the heart of everything we do.

As a Senior Data Scientist within this group, you'll be instrumental in advancing our analytical capabilities. You'll work alongside talented professionals from diverse backgrounds, including business analysts, technical partners, and industry leaders, all united by a common goal: delivering exceptional experiences to our customers while driving sustainable business growth.

What You'll Do

As a Senior Data Scientist at arenaflex, your role will be both strategic and hands-on. You'll be responsible for leading initiatives that transform how we understand and serve our customers. Here's what you can expect:

• Lead Strategic Vision: Set the strategic direction for the data science team with a focus on Omni-Channel analysis across physical retail locations and digital e-commerce platforms. You'll define the roadmap that guides our analytical efforts and ensures alignment with business objectives.
• Cross-Functional Collaboration: Lead cross-functional teams comprising Analysts, Technical Partners, and Business Leaders to establish improvement roadmaps based on comprehensive business needs assessments. You'll serve as the bridge between technical teams and business stakeholders.
• Requirements Translation: Convert complex business requirements into precise product specifications that guide development efforts and ensure successful project delivery.
• Pipeline Architecture: Lead architecture designing sessions, aligning strategies with business drivers, current challenges, and long-term organizational objectives.
• Data Pipeline Development: Design and implement efficient data pipelines to address critical business challenges, leveraging technical tools and retail systems to ensure data quality and accessibility.
• Team Excellence: Set and execute data science best practices while leading code reviews for team members, ensuring code quality and promoting continuous improvement.
• Visual Storytelling: Create compelling visuals, charts, and graphs that resonate with data, tailoring presentations to various audiences from technical teams to executive leadership.
• Advanced Analytics: Apply advanced analytics techniques including regression analysis, machine learning, and clustering to drive actionable insights that inform strategic decisions.

What You Bring

We're looking for a professional who combines technical excellence with business acumen. The ideal candidate will have:

Essential Qualifications

• Experience: Minimum 2+ years of experience developing Analysis, Statistical, or AI models to extract insights and address business challenges, preferably in a retail or e-commerce environment.
• Web Analytics Expertise: Proficiency in web analytics and visitor segmentation, using data to drive informed decisions and enhance online customer experiences.
• Team Leadership: Experience leading small teams in rapid and accurate data analysis, feature definition, and innovative problem-solving for complex business challenges.
• Problem-Solving Skills: Expertise in working through intricate problems and developing data-driven narratives that support executive decision-making.
• Technical Platform Skills: Cloud platform and technology proficiency, with the ability to navigate and leverage modern analytical infrastructure.
• AI/ML Proficiency: Demonstrated aptitude in AI or machine learning techniques, with the ability to apply these methods to real-world business problems.
• Analytical Capabilities: Strong skills in exploratory analysis and root cause investigation, with a methodical approach to problem-solving.
• Adaptability: Thrive in fast-paced, changing environments while maintaining quality and meeting deadlines.
• Communication Skills: Excellent interpersonal and communication skills for effective team and individual interaction across all organizational levels.

Preferred Qualifications

• Experience with various project management methodologies (Waterfall, Agile, Scrum) is highly desirable.
• Knowledge of multiple data technology domains including data pipelines, ETL tools, and database platforms.
• Familiarity with advanced analytics techniques such as regression analysis, clustering, statistical inference, hypothesis testing, causal inference, Random Forest, Bagging, Boosting, and Time Series analysis.

Technical Proficiency

You should have demonstrated expertise in the following areas:

• Data Pipelines & ETL Tools: Experience with SQL, SSIS, Knime, Alteryx, or Tableau Prep
• Database Platforms: Proficiency with Snowflake, SQL Server, or similar database systems
• Scripting Languages: Knowledge of Snowscript, JavaScript, VBA, or Python
• Statistical & Data Science Languages: Proficiency in R, SAS, or Python for Data Science
• Machine Learning: Hands-on experience applying machine learning techniques to solve business problems

Career Growth and Development

At arenaflex, your career trajectory is limited only by your ambition. We invest heavily in the growth and development of our team members. As a Senior Data Scientist, you'll have access to:

• Professional Development: Continuous learning opportunities through training programs, workshops, and conferences to stay at the forefront of analytical methodologies and industry trends.
• Career Advancement: Clear pathways for progression into leadership roles, including Principal Data Scientist, Data Science Manager, and Director positions.
• Mentorship Opportunities: Both receive guidance from senior leaders and mentor junior team members, fostering a culture of knowledge sharing and growth.
• Cross-Functional Exposure: Opportunities to work across different business units and gain diverse experience within the organization.
• Innovation Time: Dedicated time to explore new analytical approaches and contribute to innovative projects that push the boundaries of what's possible.

Work Environment and Culture

arenaflex is more than a company—it's a community of creative minds passionate about delivering extraordinary experiences. Our work environment is characterized by:

• Collaborative Spirit: We believe the best solutions come from diverse perspectives working together toward common goals.
• Innovation Culture: We encourage experimentation and view failures as learning opportunities on the path to breakthrough innovations.
• Inclusive Environment: We celebrate diversity and foster an inclusive workplace where every voice matters and everyone can thrive.
• Work-Life Balance: We support flexible work arrangements that help you maintain balance while delivering exceptional results.
• Cutting-Edge Technology: Work with the latest tools, platforms, and technologies in data science and analytics.

Compensation and Benefits

arenaflex is committed to recognizing the value our employees bring to the organization. We offer competitive compensation packages that include:

• Competitive Salary: An attractive hourly rate of $26 with opportunities for overtime and performance-based bonuses.
• Comprehensive Health Coverage: Full medical, dental, and vision insurance for you and your family.
• Retirement Plans: 401(k) retirement plans with generous company matching contributions.
• Paid Time Off: Generous paid vacation, holidays, and sick leave to support your well-being.
• Employee Discounts: Access to exclusive discounts on arenaflex products, services, and entertainment offerings.
• Wellness Programs: Comprehensive wellness resources including fitness memberships, mental health support, and wellness coaching.
• Education Assistance: Support for continuing education and professional certifications to help you grow.
• Employee Assistance Programs: Confidential support services for personal and professional challenges.
• Recognition Programs: Regular recognition and rewards for outstanding contributions and achievements.

Join Our Team

If you're ready to make an impact, solve complex problems, and be part of something extraordinary, arenaflex is the place for you. We invite you to apply and become part of a team that's transforming the future of retail analytics.

At arenaflex, we don't just analyze data—we tell stories with it. We create experiences that matter. And we do it together, as one team united by a shared vision of excellence.

Your next chapter starts here. Apply today and discover what makes arenaflex an exceptional place to build your career.

Note: This position offers flexibility with potential remote work arrangements. We are committed to providing the tools and resources you need to succeed, wherever you are.