Senior Information Researcher – Demand Forecasting & Pricing Models | AI & Machine Learning

Posted 2026-05-05
Remote, USA Full-time Immediate Start

Join arenaflex as a Senior Information Researcher

Are you passionate about transforming raw data into powerful predictive models that shape the future of retail? Do you thrive on solving complex mathematical challenges while working with cutting-edge technologies? Welcome to arenaflex – where your analytical expertise meets limitless innovation.

At arenaflex, we're revolutionizing how retailers understand, predict, and respond to consumer demand. We're seeking a talented Senior Information Researcher to join our dynamic Interest Estimating group within the Data Sciences division. This is your opportunity to be at the forefront of retail innovation, building sophisticated models and algorithms that directly impact how millions of customers experience shopping – both in stores and online.

In this role, you'll become an essential part of our Demand Forecasting quantitative platform team, where you'll help construct the critical components that enable us to evaluate product demand and pricing strategies for our extensive inventory. Your work will directly contribute to making our forecasting tools more efficient, more accurate, and more accessible to our business partners – ultimately enabling arenaflex to respond swiftly and precisely to customer needs.

What You'll Do

As a Senior Information Researcher at arenaflex, you'll be empowered to make meaningful contributions that extend far beyond traditional data analysis. Here's what your role will encompass:

Mathematical Model Development


  • Design and implement advanced forecasting models using your deep understanding of AI algorithms, linear algebra, probability theory, statistics, and optimization theory

  • Build time series forecasting models, machine learning models, and optimization algorithms that predict demand across thousands of product categories

  • Develop mathematical and statistical models to estimate demand for millions of items, directly influencing inventory management and pricing strategies

  • Create algorithms that enable real-time demand and price adjustments based on changing market conditions

Data Analysis & Visualization


  • Perform comprehensive data investigation and examination, including distribution analysis and anomaly detection

  • Create intuitive visualizations that communicate complex findings to non-technical stakeholders

  • Translate analytical insights into actionable business recommendations

  • Develop straightforward representations of data patterns and trends

Algorithmic Implementation


  • Implement algorithmic solutions based on detailed specifications while adhering to industry best practices in model development

  • Write production-ready code for mathematical and statistical models

  • Ensure robust, scalable, and efficient solutions that can handle enterprise-level data volumes

  • Develop algorithms capable of processing millions of data points in real-time

Code Excellence & Documentation


  • Follow primary programming principles including best practices, unit testing, and code organization

  • Understand and implement fundamentals of CI/CD pipelines

  • Create well-documented, maintainable, and thoroughly tested codebases

  • Participate in code reviews and contribute to continuous improvement of development processes

Cross-Functional Collaboration


  • Partner effectively with business clients, researchers, and engineers across multiple time zones

  • Collaborate to build frameworks that enable rapid development of new forecasting and pricing capabilities

  • Work alongside Buyers and Merchandising teams to translate business requirements into technical solutions

  • Coordinate investigation, troubleshooting, and resolution of issues in software and broader system ecosystems

What We're Looking For

Essential Qualifications


  • Educational Background: 3-year degree in Quantitative disciplines such as Mathematics, Statistics, Computer Science, Engineering, or equivalent practical work experience

  • Professional Experience: 3 or more years of hands-on experience building Time Series Forecasting models, Demand Forecasting models, Machine Learning models, or optimization algorithms

  • Technical Expertise: Strong quantitative skills with specific experience in Statistical Inference, Generalized Linear Models, and Markov Decision Processes

  • Programming Proficiency: Strong proficiency in at least one of Python, R, Java, or Scala – with the ability to develop in multiple supported programming languages

  • Data Structures & Algorithms: Deep understanding of data structures and algorithm design

  • Testing & Measurement: Ability to thoroughly test and measure algorithm performance and accuracy

  • Communication Skills: Excellent written and verbal communication skills with the ability to present complex technical concepts to diverse audiences

  • Work Ethic: Self-motivated and results-oriented with the ability to meet tight deadlines while maintaining high-quality standards

  • Team Player: Collaborative mindset with the ability to partner effectively across different time zones and functional areas

Preferred Qualifications


  • Advanced degree (Master's or PhD) in Quantitative fields such as Statistics, Mathematics, Computer Science, or Operations Research

  • Experience working with large-scale distributed computing frameworks

  • Knowledge of retail domain, e-commerce, or supply chain management

  • Familiarity with cloud computing platforms and services

  • Experience with version control systems and agile development methodologies

  • Background in reinforcement learning or deep learning applications

Skills & Competencies for Success

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


  • Analytical Thinking: The ability to break down complex problems into manageable components and develop systematic solutions

  • Innovation Mindset: A proactive approach to identifying opportunities for improvement in existing processes and systems

  • Attention to Detail: Meticulous attention to accuracy in model development and code implementation

  • Business Acumen: Understanding of how technical solutions translate into business value and customer impact

  • Continuous Learning: Eagerness to stay current with emerging technologies, methodologies, and industry trends

  • Adaptability: Flexibility to adjust approaches based on evolving requirements and feedback

Career Growth & Development Opportunities

At arenaflex, we believe in investing in our people – because when you grow, we grow. This Senior Information Researcher position offers exceptional opportunities for professional advancement:


  • Technical Leadership Paths: Progress into principal researcher or chief data scientist roles where you'll set technical direction and mentor others

  • Specialization Opportunities: Deepen expertise in specific areas such as pricing optimization, demand sensing, or machine learning infrastructure

  • Cross-Functional Exposure: Gain experience working with various business units including Merchandising, Supply Chain, and Finance

  • Training & Development: Access to comprehensive learning resources, conferences, and certification programs

  • Innovation Projects: Opportunity to propose and lead independent research initiatives that could shape the future of retail technology

Work Environment & Culture

arenaflex is more than a workplace – it's a community of innovators, problem-solvers, and passionate professionals committed to transforming the retail landscape. Here's what you can expect:


  • Collaborative Culture: Work alongside talented colleagues who share your passion for data-driven decision making

  • Innovation Freedom: The autonomy to explore new approaches and the support to bring your ideas to life

  • Work-Life Balance: Flexible working arrangements that adapt to your lifestyle and productivity patterns

  • Inclusive Environment: A welcoming community that values diverse perspectives and backgrounds

  • Impact Visibility: Clear connection between your work and tangible business outcomes

Compensation & Benefits

arenaflex is committed to recognizing your contributions with a comprehensive and competitive benefits package:


  • Health & Wellness: Comprehensive Health, Dental, and Vision Insurance plans available for both full-time and part-time employees

  • Retirement Security: A company-matched 401(K) retirement savings plan to help you build your financial future

  • Time Off: Competitive Paid Time Off (PTO) policies including holidays, sick days, and vacation days based on your role and tenure

  • Financial Rewards: Attractive employee discounts on arenaflex purchases – especially valuable for regular shoppers

  • Educational Support: Tuition reimbursement programs for employees pursuing further education and professional development

  • Parental Leave: Comprehensive maternity, paternity, and adoption leave to support workers with growing families

  • Career Advancement: Robust career development opportunities including training programs and clear advancement pathways

  • Flexible Scheduling: Depending on the role, flexible working hour options that support work-life integration

Join Our Team

If you're ready to take your analytical career to the next level and make a real impact in the world of retail technology, we want to hear from you. At arenaflex, you'll find more than a job – you'll find a place where your skills, passion, and ambition can thrive.

This is your opportunity to join a team that's shaping the future of retail forecasting and pricing. You'll work on challenges that matter, with people who inspire you, and see the direct impact of your contributions on millions of customers.

Don't miss this chance to grow with an industry leader. Apply today and become part of something extraordinary at arenaflex!

arenaflex is an equal opportunity employer. We provide reasonable accommodations during the application process as needed to comply with applicable laws. If you require assistance, please indicate so in your application.

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