Senior Information Researcher – AI & Machine Learning for Retail Demand Forecasting & Pricing Models (Remote/Hybrid)

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Join arenaflex as a Senior Information Researcher

Are you ready to transform the future of retail analytics? At arenaflex, we're revolutionizing how businesses understand and predict consumer demand, and we want you to be part of this exciting journey. As a Senior Information Researcher in our Interest Estimating group, you'll play a pivotal role in building cutting-edge models and algorithms that power our retail operations across stores and online platforms.

In this position, you'll have the opportunity to apply your expertise in artificial intelligence, statistical modeling, and optimization theory to solve complex real-world challenges in demand forecasting and dynamic pricing. Your work will directly impact millions of customers and help arenaflex deliver exceptional shopping experiences while maintaining operational excellence.

What You'll Do

As a Senior Information Researcher at arenaflex, you'll be entrusted with meaningful responsibilities that shape the future of our retail analytics capabilities:

• Develop Advanced Forecasting Models: Build and maintain sophisticated time series forecasting models, machine learning algorithms, and optimization routines that predict product demand across thousands of SKUs


• Conduct Rigorous Data Analysis: Perform comprehensive data exploration and examination, including distribution analysis, anomaly detection, and creation of intuitive visualizations that drive business insights


• Implement Algorithmic Solutions: Translate business requirements into production-ready algorithms while adhering to best practices in model development, ensuring accuracy, scalability, and maintainability


• Write Clean, Production-Grade Code: Develop well-structured, tested, and documented codebases using best practices including unit testing, proper code organization, and fundamentals of CI/CD pipelines


• Collaborate Across Teams: Partner with business stakeholders, merchants, and engineering teams to build frameworks that enable rapid demand forecasting and pricing optimization


• Drive Innovation: Contribute to the evolution of our next-generation demand forecasting platform, making it more efficient, accurate, and accessible to business users


• Problem Solving: Investigate, diagnose, and resolve issues in our software systems and broader platform architecture

Technical Environment

Our team oversees the production and enhancement of the Demand Forecasting quantitative platform—the critical infrastructure that enables us to evaluate product demand and pricing strategies. We're committed to developing tools that are both highly efficient and remarkably precise, while also making them directly accessible to our business partners and merchants. This allows arenaflex to respond swiftly to customer needs both in-store and online.

You'll have the opportunity to develop proficiency in at least one of our supported programming languages (Python, R, Java, Scala) while adhering to industry best practices in data analysis and data engineering.

What We're Looking For

Essential Qualifications:

• Bachelor's degree (3+ years) in Quantitative disciplines such as Mathematics, Statistics, Computer Science, Engineering, Economics, or equivalent practical work experience


• Minimum 3 years of hands-on experience building Time Series Forecasting models, Predictive Forecasting models, Machine Learning models, or Optimization algorithms


• Strong quantitative background with demonstrated expertise in Statistical Inference, Generalized Linear Models, and Markov Decision Processes


• Proficiency in at least one programming language such as Python, R, Java, or similar


• Deep understanding of data structures and algorithm design principles


• Ability to test, validate, and measure algorithm performance effectively


• Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders


• Self-motivated and results-oriented with the ability to meet tight deadlines in a fast-paced environment


• Collaborative mindset with experience working effectively across different time zones and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's or PhD) in Statistics, Mathematics, Computer Science, or related quantitative field


• Experience with cloud platforms (AWS, Azure, or Google Cloud) and distributed computing frameworks


• Knowledge of retail industry dynamics and e-commerce analytics


• Familiarity with MLOps practices and model deployment workflows


• Experience with real-time pricing optimization and inventory management systems

Skills & Competencies for Success

To thrive in this role at arenaflex, you'll need a combination of technical excellence and interpersonal skills:

• Mathematical Foundations: Strong grasp of linear algebra, probability theory, statistics, and optimization theory


• Programming Expertise: Ability to write efficient, maintainable code with proper documentation


• Analytical Thinking: Capability to extract meaningful insights from complex datasets


• Business Acumen: Understanding of how analytical models translate to business value


• Communication: Talent for translating technical findings into actionable business recommendations


• Adaptability: Comfortable working in ambiguous environments with evolving requirements


• Innovation: Creative approach to solving novel problems with cutting-edge techniques

Career Growth & Development

At arenaflex, we believe in investing in our people. As a Senior Information Researcher, you'll have access to numerous opportunities for professional growth:

• Technical Leadership: Progress into principal engineer or team lead roles where you can mentor junior researchers


• Specialization Tracks: Deepen your expertise in areas like deep learning, optimization, or time series analysis


• Cross-Functional Exposure: Work with teams across product, engineering, and business domains


• Learning Resources: Access to internal training programs, conferences, and certification sponsorships


• Career Path Mobility: Explore opportunities in data engineering, product management, or technical program management

Work Environment & Culture

arenaflex fosters a collaborative, innovative environment where data-driven decision making is celebrated. You'll join a team of passionate professionals who are committed to transforming retail through analytics. Our culture emphasizes:

• Inclusive Innovation: Ideas are welcomed from all levels, and diverse perspectives drive better solutions


• Work-Life Balance: Flexible working hours and remote/hybrid options to support your lifestyle


• Continuous Learning: Regular knowledge-sharing sessions, tech talks, and hackathons


• Impact-Driven Work: Direct visibility into how your contributions affect millions of customers

Compensation & Benefits

arenaflex offers a comprehensive benefits package designed to support your well-being and future:

• Health & Wellness: Comprehensive medical, dental, and vision insurance plans for both full-time and part-time employees


• Retirement Savings: 401(K) plan with company matching to help you build financial security


• Paid Time Off: Generous PTO including holidays, sick days, and vacation time based on your role


• Employee Discounts: Exclusive discounts on arenaflex products and services


• Education Support: Tuition reimbursement programs for employees pursuing further education


• Parental Leave: Comprehensive maternity, paternity, and adoption leave for growing families


• Flexible Work Arrangements: Remote and hybrid work options depending on the position

Why arenaflex?

Join arenaflex and become part of a company that's redefining retail through innovation and data-driven insights. You'll work on meaningful challenges that impact how millions of customers shop, while developing your career in one of the most dynamic fields in technology.

Our commitment to diversity, equity, and inclusion means you'll find a welcoming environment where your unique perspective is valued. We believe that diverse teams build better products, and we're dedicated to creating an workplace where everyone can thrive.

If you're passionate about applying advanced analytics to solve real-world problems and want to make a tangible impact, we encourage you to apply for this exciting opportunity.

Ready to Make an Impact?

We'd love to hear from you! Submit your application today and join the arenaflex team where your analytical skills will shape the future of retail.

arenaflex is an equal opportunity employer. We will provide reasonable accommodations to qualified individuals with disabilities during the application process as required by applicable law.