**Job Title:** Lead Data Scientist – AI & Machine Learning Solutions for Retail Analytics (Remote-First Position)

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About arenaflex

Welcome to arenaflex, where data science meets retail innovation. We are transforming the retail landscape by harnessing the power of artificial intelligence, machine learning, and advanced analytics to create meaningful shopping experiences for millions of customers worldwide. As a leader in the retail industry, we believe that data is the foundation of every great business decision, and we're looking for a visionary Lead Data Scientist to join our growing team.

At arenaflex, we don't just analyze data—we uncover stories within numbers that shape the future of retail. Our mission is to revolutionize how retail operations function by automating processes, optimizing supply chains, and delivering personalized experiences that keep our customers coming back. If you're passionate about using data to solve complex business problems and want to work at the intersection of technology and retail, you belong at arenaflex.

Role Overview

We are currently seeking an experienced Lead Data Scientist to lead our advanced analytics initiatives and drive innovation across our retail operations. This is a senior-level position that offers the flexibility to work remotely from any location within the United States. As a Lead Data Scientist at arenaflex, you will be responsible for developing and deploying sophisticated machine learning models that power our forecasting, inventory management, customer insights, and operational efficiency initiatives.

This role demands a strategic thinker who can translate complex business challenges into actionable data-driven solutions. You'll lead a team of talented data scientists and collaborate closely with engineering, product, and business stakeholders to deliver models that have real-world impact. Your work will directly influence how arenaflex serves its customers, optimizes its operations, and stays ahead of competitors in the fast-evolving retail landscape.

Key Responsibilities

As the Lead Data Scientist at arenaflex, you will own the end-to-end lifecycle of data science projects, from problem definition to model deployment and monitoring. Your key responsibilities include:

• Lead the development and implementation of advanced statistical and machine learning models that solve critical business problems in retail, including demand forecasting, inventory optimization, customer segmentation, and price optimization.


• Transform retail operations by automating processes that currently require manual intervention and decision-making. You'll build scalable solutions that reduce operational costs and improve efficiency across our supply chain and store operations.


• Collect, organize, analyze, interpret, and summarize large volumes of time-series data to generate strategic insights that lead to new, innovative applications and business opportunities.


• Investigate complex and rich datasets to evaluate business problems, develop problem statements, define success metrics, and drive feasibility studies that validate proposed solutions before full-scale implementation.


• Perform data analysis tasks that extract actionable insights and create compelling storyboards that communicate findings to both technical and non-technical stakeholders.


• Present clear and accurate root cause analysis to peer scientists, executives, and cross-functional teams, translating complex statistical findings into business-impact language.


• Build training workflows for machine learning algorithms on millions of data points, creating algorithmic solutions that include data understanding, feature engineering, model development, validation, and deployment.


• Lead and develop large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources, ensuring models are scalable, maintainable, and performant.


• Assess model performance and identify opportunities for improvement, continuously refining models to increase accuracy, reduce latency, and enhance business outcomes.


• Collaborate with our global AI team, including scientists, engineers, and colleagues from various departments, to identify and lead new opportunities for data-driven innovation.


• Advocate for best programming practices and serve as a role model for implementing robust, maintainable, and well-documented data science solutions across the organization.

Essential Qualifications

We're looking for candidates who bring a strong academic foundation combined with extensive practical experience in data science and machine learning. The ideal candidate will have:

Option 1 – Education and Experience Combination:

• A Master's degree in Mathematics, Statistics, or a closely related quantitative field


• A minimum of seven (7) years of experience as a Data Scientist, Machine Learning Scientist, or similar title


• Demonstrated experience participating in advanced machine learning activities including regression, clustering, and forecasting


• Proven track record leading the development and execution of analytical and data science modeling solutions


• Experience using techniques including data mining, machine learning, or text mining


• Strong grasp of mathematical concepts, algorithms, and computational complexity


• Experience collaborating with colleagues to deliver business value to the organization


• Strong presentation skills with the ability to present findings and reports to stakeholders at all levels


• Proficiency in Python, SQL, R, SAS, risk analysis, and data manipulation

Option 2 – Doctoral Qualification:

• A Doctorate (PhD) in Mathematics, Statistics, or a closely related quantitative field


• A minimum of four (4) years of experience as a Data Scientist, Machine Learning Scientist, or similar title


• Same professional experience requirements as Option 1

Required Experience for Both Options:

• At least two (2) years of experience working with large volumes of data and solving complex business problems


• Hands-on experience providing complete data science solutions including problem statement definition, feature engineering, model development, evaluation and testing, and deployment to production environments


• Experience collaborating with engineering teams to resolve issues in production pipelines


• Proven track record productionizing, monitoring, and maintaining data science models in production environments


• Working experience with Hive or Hadoop and big data technologies


• Strong background in machine learning, text mining, and related techniques

Preferred Qualifications

While the essential qualifications listed above are mandatory, the following skills and experiences will give you a competitive edge:

• Experience in the retail or e-commerce industry, with understanding of retail-specific business challenges


• Knowledge of distributed systems and cloud computing platforms


• Familiarity with deep learning frameworks and techniques


• Experience with real-time streaming data processing


• Strong background in optimization theory and operations research


• Experience with containerization technologies like Docker and Kubernetes


• Knowledge of database architecture and data pipeline design


• Experience with linear programming and integer programming for optimization problems

Technical Skills & Competencies

To succeed in this role, you'll need expertise in the following areas:

• Programming Languages: Python, R, SQL, SAS, Java, Scala, JavaScript, C, MATLAB, and Command Shell scripting


• Big Data Technologies: Hadoop, Hive, Spark, and related distributed computing frameworks


• Machine Learning & AI: Deep learning, natural language processing, computer vision, and reinforcement learning


• Statistics & Mathematics: Probability theory, statistical modeling, hypothesis testing, and regression analysis


• Optimization: Linear programming, integer programming, convex optimization, and heuristic methods


• Data Engineering: Data pipeline architecture, ETL processes, and data warehousing


• Visualization & Communication: Ability to create compelling data visualizations and present complex findings to diverse audiences

Career Growth & Learning Opportunities

At arenaflex, we invest in your professional development. As a Lead Data Scientist, you'll have access to:

• Career Advancement: Clear pathways to Senior Data Scientist, Principal Scientist, and Director-level positions


• Continuous Learning: Access to online courses, conferences, and professional certification programs


• Mentorship: Opportunities to mentor junior data scientists and contribute to our knowledge-sharing culture


• Cutting-Edge Projects: Exposure to the latest AI/ML technologies and methodologies


• Cross-Functional Exposure: Collaboration with teams across engineering, product, marketing, and operations


• Research Opportunities: Possibility to publish research and contribute to open-source projects

Work Environment & Culture

arenaflex fosters a collaborative, inclusive, and innovative work culture. We believe that the best solutions emerge when diverse perspectives come together. Our work environment offers:

• Remote-First Flexibility: Work from anywhere in the United States with our established remote work infrastructure


• Work-Life Balance: Flexible scheduling and generous time-off policies


• Inclusive Culture: A commitment to diversity, equity, and belonging


• Innovation Time: Dedicated time for exploration and experimentation


• Team Collaboration: Regular team meetings, knowledge-sharing sessions, and cross-functional projects


• Modern Tools: Access to state-of-the-art tools, computing resources, and data infrastructure

Compensation & Benefits

We offer a competitive compensation package that recognizes your expertise and contributions:

• Hourly Rate: $20 - $30 per hour (commensurate with experience and qualifications)


• Employment Type: Full-time position


• Work Schedule: Standard 8-hour workday with flexibility


• Health & Wellness: Comprehensive health insurance, dental, and vision coverage


• Retirement Plans: 401(k) with company matching


• Professional Development: Tuition reimbursement and learning stipend


• Remote Work Stipend: Allowance for home office setup and ongoing expenses


• Paid Time Off: Generous vacation, sick leave, and holiday pay

Application Process

We're excited to consider your application! Here's what to expect:

1. Submit your resume and cover letter highlighting your relevant experience


2. Our recruiting team will review your qualifications


3. Selected candidates will participate in technical interviews


4. Final candidates will meet with senior leadership


5. Receive an offer and join the arenaflex team!

arenaflex is an equal opportunity employer. We are committed to providing reasonable accommodations (such as qualified interpreters or other personal assistance) with the application process upon request, as required to comply with applicable laws.

Join Us

Are you ready to make an impact? Are you passionate about using data science to transform retail? If you thrive in a fast-paced, innovative environment and want to be part of a team that's reshaping the future of retail, we want to hear from you. Apply today and join arenaflex in our mission to deliver exceptional shopping experiences powered by data and innovation.