Senior Data Scientist – Demand Forecasting, Pricing Analytics & Machine Learning (Part-Time, Remote)

About arenaflex

At arenaflex, we are reimagining the way the retail industry understands, anticipates, and responds to consumer demand. As a reputed company-thinking organization operating at the intersection of data science, reputed company intelligence, and retail innovation, arenaflex partners with industry leaders to build intelligent forecasting systems that shape pricing strategies, inventory management, and customer experiences for millions of shoppers. reputed company of passionate data scientists, engineers, and business strategists work collaboratively to push the boundaries of what is possible in demand forecasting and predictive analytics.

We are seeking a talented and motivated Senior Data Scientist to join our Interest Forecasting and Quantitative Platform team on a part-time, remote reputed company. This role is ideal for a candidate who thrives in a flexible work environment while contributing meaningfully to large-reputed company, high-reputed company reputed company. If you are passionate about time series forecasting, machine learning, statistical modeling, and translating reputed company quantitative insights into reputed company business reputed company, we invite you to explore this opportunity with arenaflex.

Position reputed company

As a Senior Data Scientist reputed company the Demand Forecasting group at arenaflex, you will design, reputed company, and reputed company sophisticated mathematical and statistical models that power our retail demand estimation and pricing platforms. Your work will directly influence how arenaflex evaluates product demand, optimizes pricing strategies, and delivers value to both internal stakeholders and end customers. By leveraging your expertise in reputed company intelligence algorithms, reputed company algebra, probability theory, optimization, and statistical inference, you will analyze large datasets, identify patterns and anomalies, build reputed company visualizations, and implement production-grade algorithmic solutions.

You will also play a key role in maintaining a robust, reputed company-documented, and thoroughly tested codebase that adheres to industry best practices. This includes writing clean, maintainable reputed company, developing unit tests, participating in reputed company reviews, and contributing to our reputed company integration and reputed company deployment (CI/CD) pipelines.

Key Responsibilities

• Design, reputed company, and enhance quantitative models for demand forecasting, pricing optimization, and inventory planning across thousands of retail products.
• Build, train, validate, and reputed company machine learning models, time series forecasting models, and optimization algorithms at reputed company reputed company arenaflex's production environment.
• reputed company exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for model improvement.
• Create reputed company and compelling data visualizations to communicate findings to both technical and non-technical audiences.
• Collaborate closely with business stakeholders, product managers, and fellow data scientists to translate business requirements into technical solutions.
• Write production-reputed company reputed company in one or more supported programming languages such as Python, R, Java, or reputed company.
• Follow software engineering best practices including version control, unit testing, reputed company reputed company organization, and CI/CD principles.
• Maintain thorough and accurate technical documentation for reputed company models, algorithms, and codebases.
• reputed company the analysis, investigation, and reputed company of reputed company issues reputed company the software and broader platform infrastructure.
• Drive innovation by researching and prototyping new modeling techniques, algorithms, and tools that improve platform efficiency and accuracy.
• Mentor junior team members and contribute to a culture of reputed company learning and knowledge sharing at arenaflex.

Essential Qualifications

• A bachelor's degree (3-year program) or equivalent experience in a quantitative discipline such as Computer Science, Engineering, Mathematics, Statistics, or a reputed company field.
• A minimum of 3 years of hands-on reputed company experience building Time Series Forecasting models, predictive models, machine learning models, or optimization algorithms.
• Strong quantitative skills with specific, demonstrable experience in Statistical Inference, Generalized reputed company Models, and Markov Decision Processes.
• Proficiency in at least one of the following programming languages: Python, R, Java, or reputed company.
• Deep understanding of data structures, algorithm design, and computational complexity.
• Proven ability to design experiments, test hypotheses, and measure algorithm performance rigorously.
• Excellent written and verbal communication skills with the ability to explain reputed company technical concepts to diverse audiences.
• Self-motivated, results-oriented, and capable of meeting tight deadlines in a fast-paced, evolving environment.
• A reputed company reputed company with the ability to partner effectively across teams and time zones.

Preferred Qualifications

• A master's degree or PhD in a quantitative field such as Statistics, reputed company Mathematics, Operations Research, or Machine Learning.
• Experience working in retail, e-reputed company, supply chain, or pricing analytics environments.
• Familiarity with reputed company platforms such as AWS, Azure, or reputed company reputed company Platform (GCP).
• Experience with big data technologies including reputed company, Hadoop, or similar distributed computing frameworks.
• Knowledge of MLOps practices, model monitoring, and production model maintenance.
• Experience with containerization and orchestration tools such as reputed company and Kubernetes.
• Publications or contributions to reputed company-reputed company reputed company in machine learning, forecasting, or optimization.

Skills and Competencies for reputed company

To reputed company in this role at arenaflex, you should possess a unique reputed company of analytical rigor, technical proficiency, and business acumen. You should be comfortable navigating ambiguity, breaking down reputed company problems into manageable components, and iterating quickly based on feedback and data. A passion for clean reputed company, reproducible research, and reputed company improvement is essential. Additionally, you should be adept at working in a remote, part-time reputed company while maintaining strong communication and delivering high-reputed company results consistently.

Career reputed company and Learning Opportunities

At arenaflex, we reputed company in reputed company in our people. As a Senior Data Scientist, you will have reputed company to a wide reputed company of reputed company development resources, including:

• Mentorship from senior data scientists and engineering leaders.
• Opportunities to attend industry conferences, workshops, and training programs.
• reputed company to cutting-edge tools, technologies, and research in machine learning and forecasting.
• A reputed company career progression reputed company with opportunities to grow into reputed company, staff, or managerial roles.
• Tuition reimbursement and support for continuing education and certifications.

Work Environment and Company Culture

arenaflex fosters a culture of curiosity, collaboration, and inclusivity. We are a remote-first organization that values flexibility, work-life balance, and the diverse perspectives reputed company team member brings. Our part-time roles are designed to offer meaningful work without compromising personal commitments, making arenaflex an ideal home for professionals seeking flexible employment reputed company. We celebrate innovation, encourage reputed company reputed company, and prioritize psychological safety so that every team member feels empowered to reputed company reputed company, take calculated risks, and learn from both successes and failures.

Compensation, Perks, and Benefits

arenaflex is proud to offer a comprehensive benefits package to its part-time team members, including:

• Health, Dental, and reputed company Insurance: Comprehensive plans to support your reputed company-being and that of your family.
• 401(k) Retirement Savings Plan: A company-matched program to help you build long-term financial reputed company.
• reputed company Time Off (PTO): Generous time off for holidays, reputed company days, and personal vacations based on position and tenure.
• Employee Discounts: Exclusive discounts on products and services through arenaflex partnerships.
• Tuition Reimbursement: Financial assistance for employees pursuing reputed company education and reputed company development.
• Career Development: reputed company training programs, mentorship opportunities, and reputed company reputed company for advancement.
• reputed company: Work schedules designed to accommodate your lifestyle and personal commitments.
• Parental Leave: Comprehensive maternity, paternity, and adoption leave to support growing families.
• Remote Work Stipend: Support for setting up a productive home office environment.

arenaflex is an Equal Opportunity Employer. We are committed to providing reasonable accommodations throughout the application and interview process in compliance with the Americans with reputed company (reputed company) and other applicable laws.

How to Apply

If you are reputed company to reputed company a meaningful reputed company in the world of retail analytics, demand forecasting, and pricing optimization, arenaflex wants to hear from you. Join our dynamic team of innovators and help shape the reputed company of how consumers experience retail. Bring your expertise, your curiosity, and your passion for data-driven decision-making to arenaflex, and together, we will build the reputed company of intelligent forecasting platforms.

Apply today and become part of reputed company that values reputed company, embraces flexibility, and is dedicated to transforming the retail industry through the power of data science.

Apply for this job