Senior Data Science Analyst – Part‑Time Remote Position Shaping Recommendation Systems at arenaflex – $24/hr

About arenaflex – Pioneering the Future of E‑Commerce

arenaflex is a global leader in online retail, delivering millions of products to customers worldwide through a seamless blend of technology, design, and logistics. Our mission is to inspire shoppers to discover the perfect items for their homes, while empowering a diverse community of creators, engineers, and analysts to innovate at the intersection of data and experience. As a forward‑thinking, data‑driven organization, arenaflex invests heavily in cutting‑edge recommendation engines, AI research, and robust analytics platforms that shape the way millions of users shop every day.

Position Overview

We are seeking a highly motivated Senior Data Science Analyst to join our Search & Recommendation Science team on a part‑time, remote basis. This role is ideal for a data enthusiast who thrives on turning massive datasets into actionable insights that directly influence product strategy and customer experience. Working closely with a collaborative group of data engineers, machine‑learning scientists, and product managers, you will design, execute, and interpret experiments that drive the next generation of recommendation algorithms at arenaflex.

Key Responsibilities

• Design, implement, and analyze A/B tests for new recommendation models, ensuring rigorous statistical validity and clear business impact.
• Develop and maintain KPI dashboards, anomaly‑detection tools, and high‑level estimation frameworks to monitor model performance in real time.
• Conduct exploratory data analysis—including clustering, segmentation, and dimensionality reduction—to uncover hidden patterns that inform product roadmaps.
• Build, refine, and scale internal tooling (e.g., QA frameworks, simulation environments) that accelerate model validation before live deployment.
• Collaborate closely with product, design, and AI engineering partners to translate analytical findings into concrete product enhancements.
• Communicate complex technical insights to senior leadership across the organization through clear visualizations, executive summaries, and data‑driven storytelling.
• Mentor junior analysts and contribute to a culture of continuous learning, knowledge sharing, and methodological rigor.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Technical Expertise: Advanced proficiency in SQL (including complex joins, window functions, and performance tuning) and hands‑on experience with data‑warehouse technologies such as Vertica, Hive, or Snowflake.
• Programming Skills: Expert‑level Python programming, with deep familiarity in libraries such as Pandas, NumPy, Scikit‑learn, Matplotlib, and Jupyter notebooks for rapid prototyping and analysis.
• Experimental Design: Proven track record designing and interpreting A/B tests, including power analysis, hypothesis formulation, and post‑experiment evaluation.
• Statistical Acumen: Strong foundation in statistical inference, regression modeling, and causal analysis to drive data‑backed decision making.
• Communication: Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
• Collaboration: Demonstrated ability to work cross‑functionally, build relationships, and influence outcomes in a fast‑paced environment.

Preferred Qualifications & Experience

• Master’s or Ph.D. in a quantitative discipline, or equivalent industry experience.
• Hands‑on experience with machine‑learning algorithms such as decision trees, random forests, gradient boosting, and deep learning frameworks (TensorFlow, PyTorch).
• Background in e‑commerce or recommendation systems, with a portfolio of deployed models that improved conversion, click‑through, or revenue metrics.
• Familiarity with big‑data processing tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
• Experience building production‑grade data pipelines and monitoring systems for model drift and performance degradation.
• Track record of taking ownership of end‑to‑end analytical projects, from data ingestion through to actionable recommendations.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex problems, identify root causes, and propose data‑driven solutions.
• Business Acumen: Understanding of key e‑commerce metrics (e.g., conversion rate, average order value, customer lifetime value) and how analytical insights translate into business impact.
• Innovation Mindset: Curiosity to explore new data sources, experiment with novel algorithms, and challenge the status quo.
• Adaptability: Comfort thriving in a dynamic, rapidly evolving environment where priorities shift and new challenges emerge daily.
• Team Player: Proactive communication, willingness to share knowledge, and a collaborative spirit that elevates the entire team.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Senior Data Science Analyst, you will have access to:

• Mentorship from industry‑leading AI researchers and senior product strategists.
• Sponsored attendance at premier conferences such as KDD, NeurIPS, and SIGIR.
• Internal workshops on advanced topics like reinforcement learning, causal inference, and large‑scale model deployment.
• Opportunities to transition into full‑time roles, lead cross‑functional projects, or explore managerial pathways within the analytics organization.

Work Environment & Culture at arenaflex

Our culture is built on inclusion, curiosity, and impact. Whether you are working from a home office in Boston or any remote location, you will experience:

• A flexible schedule that respects work‑life balance, with an 8‑hour daily commitment and the freedom to structure your day.
• A supportive, diverse community that values different perspectives and encourages open dialogue.
• Regular virtual “coffee chats,” hackathons, and knowledge‑sharing sessions that keep the team connected and inspired.
• Commitment to accessibility: arenaflex provides reasonable accommodations for candidates with disabilities throughout the hiring process and employment lifecycle.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $24 per hour for this part‑time role, along with a comprehensive benefits package that includes:

• Health, dental, and vision coverage (eligible part‑time employees).
• Retirement savings plan with employer matching contributions.
• Paid time off, holidays, and flexible sick leave.
• Employee assistance programs, mental‑health resources, and wellness stipends.
• Access to cutting‑edge data platforms, cloud resources, and learning libraries.
• Opportunities to earn performance‑based bonuses tied to measurable impact on recommendation system metrics.

Why Join arenaflex?

If you are passionate about turning data into strategic advantage, love collaborating with world‑class engineers and product visionaries, and want to see your work directly influence millions of shoppers worldwide, arenaflex is the place to amplify your impact. Our remote‑first philosophy, combined with a vibrant, inclusive culture, ensures you can thrive professionally while maintaining personal flexibility.

Application Process

Ready to shape the future of recommendation technology at arenaflex? Click the link below to submit your application, attach your resume, and share a brief cover letter highlighting your most relevant experience. Our talent acquisition team will review your submission and reach out to schedule a virtual interview.

Apply Now

Equal Opportunity Employer

arenaflex is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. We will make reasonable accommodations for qualified candidates with disabilities unless doing so would cause an undue hardship on the operation of our business.