Entry‑Level Data Scientist – Product Analytics (Remote) – $25/hr – Join arenaflex’s AI‑Powered Innovation Team

About arenaflex

arenaflex is a pioneering force in the artificial intelligence landscape, dedicated to building safe, reliable, and universally beneficial AI systems. Our mission is to ensure that the transformative power of AI is harnessed for the greater good of humanity, fostering inclusive growth, ethical stewardship, and groundbreaking innovation. With a global footprint and a culture that celebrates curiosity, collaboration, and continuous learning, arenaflex offers a dynamic environment where emerging talent can thrive alongside world‑class researchers, engineers, and product leaders.

Why This Role Matters

As an Entry‑Level Data Scientist – Product Analytics on arenaflex’s Product Development team, you will be at the heart of data‑driven decision making. You will help shape the metrics that guide product strategy, design rigorous experiments, and build dashboards that empower every stakeholder—from engineers to senior executives—to answer critical product questions quickly and confidently. This role is a unique launchpad for anyone passionate about turning complex data into actionable insights that drive real‑world impact.

Key Responsibilities

• Partner closely with product managers, engineers, and designers to identify high‑impact analytical problems and translate them into clear, measurable objectives.
• Design, implement, and analyze A/B tests that evaluate the effect of model updates, user‑experience changes, and new feature releases on key performance indicators.
• Define, track, and operationalize product‑level, feature‑level, and company‑wide metrics that align with arenaflex’s strategic north‑star goals.
• Develop and maintain self‑serve dashboards, automated reports, and data visualizations that enable cross‑functional teams to explore product data without needing deep technical assistance.
• Write clean, efficient SQL queries and Python scripts to extract, transform, and analyze large datasets from our data warehouse and experimentation platform.
• Present findings and actionable recommendations to both technical and non‑technical audiences, ensuring clarity, relevance, and impact.
• Collaborate with research scientists to incorporate insights from large language models, natural language processing (NLP), and generative AI into product analytics pipelines.
• Continuously improve the rigor and reproducibility of analytical workflows, documenting methodologies and maintaining version control for all code and analyses.

Essential Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• At least 4 years of experience in a quantitative role that involved deep analytical work in high‑uncertainty environments—such as a data analyst, research associate, or junior data scientist at a fast‑growing tech company or research institute.
• Proven ability to design, execute, and interpret rigorous experiments (A/B testing) and to translate results into product recommendations.
• Strong proficiency in SQL for data extraction and Python (pandas, NumPy, SciPy, statsmodels) for data manipulation, statistical analysis, and visualization.
• Experience building and operationalizing new product and feature metrics from scratch, without pre‑existing templates.
• Excellent communication skills with a demonstrated track record of influencing product managers, engineers, and senior leadership through data‑driven storytelling.

Preferred Qualifications & Additional Skills

• Hands‑on experience with natural language processing (NLP), large language models, or generative AI technologies.
• Solid programming foundation beyond Python—experience with R, Scala, or Java is a plus.
• Familiarity with qualitative research methods (e.g., user interviews, surveys, UX research) and the ability to blend quantitative and qualitative insights.
• Knowledge of statistical modeling techniques such as hierarchical models, Bayesian inference, or causal inference frameworks.
• Experience with modern data‑visualization tools (e.g., Looker, Tableau, PowerBI) and dashboarding platforms.
• Ability to work autonomously in a remote setting while maintaining strong collaboration with distributed teams across time zones.

Core Competencies for Success

• Analytical Rigor: A meticulous approach to data quality, statistical validity, and reproducibility.
• Problem‑Solving Mindset: Ability to break down ambiguous business problems into clear analytical tasks.
• Collaboration: Strong interpersonal skills that foster trust and open communication with cross‑functional partners.
• Curiosity & Learning: Eagerness to stay current with emerging AI research, data‑science methodologies, and industry best practices.
• Product Intuition: Understanding of how data insights translate into product decisions that affect millions of users.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its team members. As an entry‑level data scientist, you will have access to:

• Mentorship from senior data scientists and AI researchers who are leaders in the field.
• Quarterly “Learning Days” dedicated to deep‑dive workshops on topics such as advanced experimentation design, causal inference, and AI ethics.
• Sponsored attendance at industry conferences, webinars, and technical meetups.
• Opportunities to transition into specialized roles—such as Machine Learning Engineer, Product Analytics Lead, or Research Scientist—based on your interests and performance.
• Internal mobility programs that allow you to explore different product lines, from conversational AI to enterprise analytics tools.

Work Environment & Culture at arenaflex

Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage bold experimentation, and prioritize the well‑being of every team member. Key aspects of our environment include:

• Remote‑First Flexibility: While the role is anchored to our San Francisco headquarters for occasional in‑person collaboration, we provide full remote support, including a home‑office stipend and relocation assistance if you choose to move.
• Collaborative Spaces: Virtual “coffee rooms,” cross‑team hackathons, and regular all‑hands meetings keep the community connected.
• Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents, plus mental‑health resources and wellness programs.
• Generous Time Off: Unlimited PTO, 18+ company holidays, and a paid parental leave policy offering up to 20 weeks of support.
• Financial Security: Competitive hourly wage of $25/hr, a 401(k) plan with a 4% company match, and performance‑based bonuses.
• Diversity & Belonging: Employee resource groups, inclusive hiring practices, and a commitment to equitable growth opportunities.

Compensation, Perks & Benefits

arenaflex offers a total rewards package designed to attract and retain top talent:

• Base Compensation: $25 per hour, paid bi‑weekly.
• Health Benefits: Medical, dental, and vision plans with low deductibles and extensive provider networks.
• Retirement Savings: 401(k) with a 4% employer match and access to financial planning resources.
• Paid Time Off: Unlimited vacation days, 18+ paid holidays, and generous parental leave.
• Well‑Being Programs: Access to mental‑health counselors, wellness apps, and fitness class reimbursements.
• Learning Stipends: Annual budget for courses, certifications, and books.
• Community & Culture: Regular virtual socials, quarterly off‑site retreats, and a vibrant internal community platform.

How to Apply

If you are excited about turning data into product breakthroughs, love collaborating with interdisciplinary teams, and want to grow your career at a forward‑thinking AI company, we want to hear from you. Submit your resume, a brief cover letter highlighting a recent analytical project you led, and any relevant portfolio or GitHub links.

Join arenaflex and Shape the Future of AI‑Powered Products

At arenaflex, we believe that responsible AI can solve some of the world’s most pressing challenges. By joining our Product Analytics team, you will directly influence the development of technologies that empower millions, while working in an environment that values curiosity, integrity, and impact. Take the next step in your career—apply today and become part of a mission‑driven organization that is redefining what AI can achieve.

Apply Now