Senior Data Scientist – Machine Learning & Ranking Innovation (Remote) – Join arenaflex’s AI & Relevance Team

About arenaflex – Pioneering the Future of Work

arenaflex is the world’s leading job search platform, connecting millions of job seekers with employers across the globe. Since its founding in 2004, arenaflex has built a massive, unique dataset of job listings, resumes, applications, and outcomes that powers the most intelligent, data‑driven hiring experiences on the internet. Our mission is simple yet powerful: help people get jobs. To achieve this, we foster an inclusive, supportive workplace where every arenaflexian can bring their authentic self to work, innovate fearlessly, and make a tangible impact on the lives of job seekers worldwide.

Why This Role Matters

As a Senior Data Scientist on the Ranking Science team, you will be at the heart of arenaflex’s core AI engine. Your work will directly influence how millions of users discover relevant opportunities, how employers surface the best candidates, and how the entire ecosystem of work becomes more efficient, equitable, and delightful. This is a rare chance to solve “large‑scale” problems with cutting‑edge machine learning, while collaborating with product managers, engineers, and researchers across the organization.

Role Overview

We are looking for a highly motivated, technically skilled Senior Data Scientist who can design, develop, and deploy sophisticated ranking models that power arenaflex’s search and recommendation systems. You will own the end‑to‑end lifecycle of machine‑learning solutions—from data collection and feature engineering to model training, evaluation, and production monitoring. Your expertise will help us maintain arenaflex’s position as the most trusted, accurate, and user‑friendly job search platform on the planet.

Key Responsibilities

• Model Development: Design, implement, and iterate on state‑of‑the‑art ranking and recommendation models, moving them from prototype to production at scale.
• MLOps & Monitoring: Establish robust best practices for model evaluation, continuous monitoring, and automated deployment pipelines (MLOps) to ensure reliability and performance.
• Cross‑Functional Collaboration: Partner with product, engineering, and data teams to translate business objectives into technical solutions and to integrate model outputs into live product features.
• Code Review & Mentorship: Participate in code reviews, promote engineering excellence, and mentor junior data scientists and engineers on the team.
• Research & Innovation: Stay abreast of the latest research in machine learning, deep learning, and information retrieval; adapt open‑source advancements to solve real‑world problems at arenaflex.
• Data Pipeline Ownership: Build and maintain high‑quality data pipelines that feed training and inference systems, ensuring data integrity, privacy, and compliance.
• Product Impact: Balance technical depth with product thinking, delivering measurable improvements to key metrics such as click‑through rate, conversion, and user satisfaction.

Essential Qualifications

• Bachelor’s degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, Economics, or related field).
• Minimum 2 years of professional experience as a Software Engineer, Data Scientist, or Machine Learning Engineer.
• Demonstrated expertise in training, fine‑tuning, and evaluating large‑scale models, particularly deep learning architectures.
• Hands‑on experience with deep‑learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Strong foundation in algorithmic thinking, statistical analysis, and experimental design.
• Excellent communication skills, with the ability to articulate complex technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Master’s or Ph.D. in a related field.
• Experience with recommendation systems and ranking algorithms, especially learning‑to‑rank techniques.
• Background in building production‑grade machine learning pipelines at scale (e.g., using Kubernetes, Docker, Airflow).
• Familiarity with Java or Scala for integration with existing backend services.
• Prior work on large‑scale feature stores, data versioning, and model governance.
• Exposure to A/B testing frameworks and the ability to drive data‑informed product decisions.

Core Skills & Competencies

• Technical Proficiency: Proficient in Python, SQL, and at least one systems language (Java, Scala, or Go).
• Machine Learning Mastery: Deep understanding of supervised, unsupervised, and reinforcement learning methods, with a focus on ranking and recommendation.
• Problem‑Solving: Ability to break down ambiguous business problems into tractable data science tasks.
• Collaboration: Comfortable working in cross‑functional squads, influencing product roadmaps, and delivering results in an agile environment.
• Curiosity & Growth Mindset: Passion for continuous learning, staying current with emerging research, and sharing knowledge with peers.
• Ethical Awareness: Commitment to responsible AI practices, fairness, and transparency in model development.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $30–$40 per hour, reflective of experience, location, and performance. In addition to base pay, you will be eligible for a comprehensive total rewards package that may include:

• Quarterly performance bonuses.
• Restricted Stock Units (RSUs) that align your success with the company’s growth.
• Generous paid time off (PTO) to recharge, explore, and handle life’s unexpected moments.
• Health, dental, and vision insurance plans for you and your family.
• Well‑being programs covering mental health, fitness, and nutrition.
• Flexible work arrangements—fully remote within the United States.
• Family‑friendly benefits such as parental leave, adoption assistance, and pet‑care resources.
• Professional development budget for conferences, certifications, and online courses.
• Employee Resource Groups (ERGs) that foster inclusion, mentorship, and community.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is limited only by your ambition. As a senior member of the Ranking Science team, you will:

• Lead high‑impact projects that shape the core search experience for millions of users.
• Mentor junior data scientists, influencing the next generation of AI talent.
• Collaborate directly with senior leadership to define strategic AI roadmaps.
• Gain exposure to a breadth of domains—from natural language processing to large‑scale distributed systems.
• Participate in internal hackathons, research symposiums, and publication opportunities.

Work Environment & Culture at arenaflex

arenaflex prides itself on a culture of belonging, curiosity, and impact. Our remote‑first philosophy empowers you to work from anywhere in the United States while staying deeply connected to a vibrant, collaborative community. Highlights of our culture include:

• Inclusive Community: Employee Resource Groups and a dedicated Employee Experience team ensure every arenaflexian feels safe, heard, and empowered.
• Innovation‑Driven: We encourage experimentation, rapid prototyping, and data‑backed decision making.
• Work‑Life Harmony: Flexible schedules, generous PTO, and wellness resources help you thrive both professionally and personally.
• Transparency & Trust: Open communication channels, regular town halls, and clear performance metrics keep everyone aligned.

How to Apply

If you are ready to leverage your expertise in machine learning to transform the job search experience for billions of users, we want to hear from you. Join arenaflex’s mission‑driven team and help shape the future of work.

Apply Job!