Remote Data Scientist – Machine Learning & Data Engineering Role – $24/hr – Join arenaflex’s Advertising Platforms Team

About arenaflex – Pioneering Innovation for Everyday Life

arenaflex is a global technology leader dedicated to shaping the future through innovative products and services that touch millions of lives every day. From the world‑class app marketplace to cutting‑edge news, finance, and streaming experiences, arenaflex empowers creators, advertisers, and consumers alike to discover, engage, and thrive in a secure, privacy‑first environment. Our mission is to harness the power of data and machine learning to deliver personalized, meaningful experiences while upholding the highest standards of security and trust.

Why This Role Matters

As part of arenaflex’s Advertising Platforms Data Experiences team, you will be at the heart of a data‑driven organization that fuels product discovery, advertising effectiveness, and user satisfaction across the arenaflex App Store, arenaflex News, arenaflex Stocks, and arenaflex TV. Your work will transform massive streams of click‑through, content, and marketplace data into actionable insights that guide product strategy, improve advertiser ROI, and enhance the overall user journey.

Role Overview

We are seeking a highly motivated Machine Learning Data Scientist to join our Product & Consumer Insights group. In this fully remote, full‑time position, you will collaborate with cross‑functional teams of engineers, product managers, designers, and marketers to design, develop, and evaluate advanced ML models that power recommendation engines, ad targeting, pricing optimization, and feature impact analysis. You will own the end‑to‑end data pipeline—from raw clickstream ingestion to model deployment—ensuring that our data products are reliable, scalable, and aligned with business goals.

Key Responsibilities

• Design, implement, and maintain robust data pipelines using Python, SQL, AWS, Snowflake, and Spark to ingest, clean, and transform large‑scale clickstream and marketplace datasets.
• Develop and evaluate machine‑learning models (e.g., predictive ranking, clustering, time‑series forecasting) that drive personalized recommendations, ad relevance, and pricing strategies.
• Collaborate closely with product and engineering teams to translate business requirements into analytical specifications and data‑driven solutions.
• Conduct exploratory data analysis, hypothesis testing, A/B experiment design, and statistical validation to uncover hidden patterns and inform product decisions.
• Build interactive dashboards and visualizations that communicate complex analytical findings to non‑technical stakeholders in a clear, actionable manner.
• Mentor junior data scientists and data engineers, fostering a culture of continuous learning and knowledge sharing.
• Stay current with emerging data technologies, ML frameworks, and best practices to continuously improve arenaflex’s data infrastructure and analytical capabilities.
• Ensure compliance with data governance, privacy, and security standards throughout the data lifecycle.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field (Master’s or Ph.D. preferred).
• Experience: Minimum 6 years of professional experience in data science, machine learning, or data engineering roles, preferably within the digital advertising or e‑commerce domain.
• Proven track record of building production‑grade ML models that have delivered measurable business impact.
• Strong programming skills in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and expertise in SQL for data manipulation.
• Hands‑on experience with cloud platforms (AWS), data warehousing (Snowflake), and big‑data processing frameworks (Spark, Flink).
• Deep understanding of statistical methods, including regression, clustering, time‑series analysis, and experimental design.
• Excellent communication skills with the ability to translate technical results into strategic recommendations for product and leadership teams.

Preferred Qualifications

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline with a focus on machine learning or data mining.
• Experience working with clickstream data, A/B testing platforms, and ad‑tech ecosystems.
• Familiarity with data visualization tools such as Tableau, Looker, or Power BI.
• Knowledge of data governance, privacy regulations (GDPR, CCPA) and best practices for secure data handling.
• Demonstrated ability to lead cross‑functional projects and influence product roadmaps through data‑driven insights.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex problems, identify root causes, and propose data‑centric solutions.
• Collaboration: Comfortable working in fast‑paced, interdisciplinary teams and building strong relationships with stakeholders.
• Adaptability: Thrive in a dynamic environment where priorities shift quickly and new technologies emerge.
• Attention to Detail: Rigorous approach to data quality, model validation, and documentation.
• Innovation: Passion for exploring novel algorithms and techniques that can give arenaflex a competitive edge.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Data Scientist on our team, you will have access to:

• Annual learning stipend for conferences, certifications, and online courses.
• Mentorship programs pairing you with senior leaders in AI, product, and engineering.
• Opportunities to publish research, present at internal tech talks, and contribute to open‑source projects.
• Clear career pathways from individual contributor to senior, principal, and staff data science roles.
• Cross‑team rotations that allow you to explore different product domains (e.g., recommendation systems, ad tech, pricing analytics).

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, flexibility, and a shared commitment to excellence. arenaflex values diversity of thought and background, fostering an inclusive environment where every voice is heard. Key cultural pillars include:

• Innovation with Integrity: We push the boundaries of technology while upholding the highest ethical standards.
• Customer‑Centricity: Every decision is guided by the impact on our users and creators.
• Collaboration: Open communication channels, regular virtual coffee chats, and team‑wide hackathons encourage knowledge sharing.
• Work‑Life Balance: Flexible schedules, generous paid time off, and wellness programs support a healthy lifestyle.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $24 per hour, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with multiple plan options.
• 401(k) retirement plan with company match.
• Paid parental leave, family leave, and generous vacation policy.
• Remote work allowance for home office setup, internet, and coworking space access.
• Employee assistance program, mental health resources, and wellness stipends.
• Annual performance bonuses tied to individual and company success.

How to Apply

If you are passionate about turning data into strategic advantage, love solving complex problems, and thrive in a collaborative, remote environment, we want to hear from you. Join arenaflex’s mission to empower creators and users worldwide through intelligent, data‑driven experiences.

Apply Now – Start Your Journey with arenaflex Today!