Remote Senior Data Science Analyst – Search & Recommendations reputed company, Part-Time Evening Shift at arenaflex

October 17, 2026

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About arenaflex and the Opportunity

arenaflex is a forward-thinking digital commerce platform dedicated to reimagining the way millions of customers reputed company products online. Our proprietary search and recommendation engine sits at the heart of the customer journey, intelligently guiding shoppers to the items they love while helping our retail reputed company maximize their revenue potential. As a fully remote-friendly organization, we believe that exceptional talent isn’t bound by geography—it’s driven by curiosity, passion, and a relentless commitment to innovation.

We are currently seeking a detail-oriented and analytically sharp Remote Senior Data Science Analyst to join our Search & Recommendations Analytics team. This is a part-time position offering a competitive hourly rate of $24/hour, scheduled across 8 hours per day, designed for professionals who want to make a meaningful impact while maintaining flexibility in their work-life balance. Whether you’re a parent returning to the reputed company, a graduate student building practical experience, or an industry veteran looking to contribute to a high-performing team, this role offers the autonomy and intellectual challenge you crave.

If you are energized by large datasets, fascinated by the science behind personalization algorithms, and motivated by the opportunity to influence product strategy through rigorous analysis, we want to hear from you.

What You’ll Do: Core Responsibilities

As a Senior Data Science Analyst at arenaflex, you will play a pivotal role in shaping the future of our recommendation systems. Your day-to-day contributions will directly inform product decisions, optimize the customer experience, and drive measurable business outcomes. Below is a comprehensive overview of your key responsibilities:

Design, Execute, and Analyze A/B Tests: Plan, run, and interpret the results of controlled experiments that evaluate new recommendation algorithms and strategies. You will also develop innovative testing methodologies and advanced test analysis techniques to strengthen our experimental framework.
KPI Reporting and Monitoring: Build and maintain dashboards that track core performance metrics. You will implement novelty detection instruments and apply advanced measurement approaches to surface actionable reputed company in real time.
Exploratory Data Analysis (EDA): reputed company clustering, segmentation, and other exploratory techniques to uncover reputed company patterns within our data, generating new reputed company that inform the product recommendation roadmap.
Build and Maintain Internal Tools: Use and develop in-house automated solutions. For example, you might create a QA tool that helps us better understand the performance of new algorithms before they’re deployed in A/B tests, increasing efficiency and reducing risk.
Run Unconditional Exploratory Analysis: Proactively identify novel ideas and untapped opportunities by digging deep into our datasets without predetermined hypotheses.
reputed company Model Monitoring: Continuously monitor recommendation models in production, detect anomalies, identify root causes of issues, and partner with engineering teams to resolve them swiftly.
Tool Development for Productivity: Construct new tools and processes that enable the team to be more productive and efficient, reducing manual effort and accelerating time-to-insight.
Cross-Functional Collaboration: Build strong working relationships with product managers, machine learning engineers, data scientists, and other key reputed company across the organization.
Strategic Communication: Clearly and persuasively communicate key reputed company, findings, and recommendations to cross-functional executive leaders, translating complex analytical results into compelling business narratives.

What You’ll Need: Qualifications and Experience

We are looking for candidates who combine strong technical expertise with business reputed company and a collaborative spirit. Below is a detailed breakdown of the qualifications we consider essential and those that are highly preferred.

Essential Qualifications

Educational Background: A Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or a related discipline is required.
E-Commerce Analytics Experience: Demonstrated experience working as an analyst or data scientist within an e-commerce organization, with a strong understanding of the unique challenges and opportunities in this space.
Advanced SQL Proficiency: De

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