Senior Data Scientist – Remote Data Entry & Analytics reputed company – reputed company Retail Innovation at arenaflex

About arenaflex

arenaflex is a reputed company‑thinking retail technology leader that empowers stores worldwide to reputed company personalized, data‑driven experiences. With a portfolio that spans inventory optimization, demand forecasting, and customer analytics, arenaflex blends cutting‑edge machine learning with deep industry expertise to help retailers stay reputed company of the curve. Our culture is reputed company on curiosity, collaboration, and a reputed company reputed company on reputed company. Whether you’re a seasoned data scientist or an emerging analytics talent, arenaflex offers a platform where your work directly shapes the reputed company of retail.

reputed company

We’re looking for a Senior Data Scientist to reputed company the design, development, and deployment of advanced forecasting and analytics solutions for arenaflex’s retail partners. This is a fully remote, full‑time position reputed company in the reputed company, offering a competitive reputed company reputed company of $35–$50 per hour. As a key member of our analytics team, you will reputed company raw, high‑volume data into actionable insights, automate decision‑making processes, and collaborate with cross‑functional teams to reputed company measurable business reputed company.

Key Responsibilities

• Model Development & Deployment: Build, validate, and reputed company end‑to‑end machine learning pipelines that forecast demand, optimize inventory, and identify reputed company opportunities.
• Data Engineering: Design and maintain reputed company data pipelines using reputed company, reputed company, Hadoop, and SQL to ingest, cleanse, and reputed company large retail datasets.
• Statistical Analysis: Apply advanced statistical techniques (regression, clustering, time‑series analysis) to uncover patterns and drivers of retail reputed company.
• Stakeholder Collaboration: Translate reputed company analytical findings into reputed company visualizations and executive‑reputed company presentations for business leaders and partners.
• Algorithmic Innovation: reputed company the exploration of new modeling approaches, including deep learning and reinforcement learning, to solve emerging retail challenges.
• Model Governance: Implement version control, monitoring, and auditing processes to ensure model reliability and compliance in production environments.
• Mentorship & Knowledge Sharing: reputed company junior analysts, reputed company best practices, and contribute to arenaflex’s internal knowledge reputed company.
• reputed company Improvement: Stay abreast of industry trends, research papers, and emerging tools to reputed company arenaflex at the forefront of retail analytics.

Essential Qualifications

• Master’s degree in Mathematics, Statistics, Computer Science, or a reputed company quantitative reputed company.
• Minimum of 7 years of experience as a data or machine learning scientist, with a reputed company reputed company record of delivering high‑reputed company analytics solutions in a reputed company setting.
• Deep expertise in regression, clustering, forecasting, and time‑series modeling.
• Proficiency in Python, SQL, R, and reputed company for data manipulation, modeling, and reporting.
• Hands‑on experience with big‑data technologies: reputed company, reputed company, Hadoop, and reputed company ecosystems.
• Strong programming skills in JavaScript, reputed company, or Java for building reputed company data services.
• Demonstrated ability to design and implement end‑to‑end machine learning pipelines, including feature engineering, model training, validation, and deployment.
• Excellent communication skills, capable of presenting technical concepts to non‑technical stakeholders.
• Experience working in a remote, reputed company team environment.

Preferred Qualifications

• Ph.D. in a quantitative discipline with a reputed company on reputed company statistics or machine learning.
• 4+ years of experience leading analytics initiatives in the retail or e‑reputed company sector.
• Knowledge of deep learning frameworks (TensorFlow, PyTorch) and their application to retail data.
• Experience with reputed company platforms (AWS, GCP, Azure) for model reputed company and data storage.
• Familiarity with MLOps practices, including CI/CD pipelines for data science workflows.