Remote Data Scientist: Global Opportunity to Build AI That Changes Industries

Are you a data wizard ready to transform raw information into groundbreaking products? Join our fully distributed team as a Remote Data Scientist, where your models will directly power the next generation of intelligent systems for millions of users worldwide. This is a chance to own projects from experimentation to production in a flexible, impact-driven environment.

About the Role

You will serve as a core member of our product analytics and machine learning team, tackling our most complex challenges. Your work will involve designing and deploying scalable predictive models, conducting deep-dive analyses to uncover growth levers, and building robust data pipelines that feed our AI features. You’ll collaborate with engineering, product, and design leads in an async-first culture, ensuring data integrity and actionable insights drive every decision. From recommendation engines to forecasting tools, you will build the intelligent backbone of our platform.

What We’re Looking For

Essential Skills & Experience

• 5+ years of hands-on experience in a data science or advanced analytics role, with a portfolio of shipped ML models or data products.
• Mastery of Python for data analysis (Pandas, NumPy) and machine learning (Scikit-learn, XGBoost/LightGBM). Fluency in SQL for complex data extraction.
• Deep understanding of statistical modeling, experimental design (A/B testing), and causal inference.
• Proven ability to communicate complex technical findings to non-technical stakeholders through clear visualizations and narratives.
• Experience with cloud data platforms (BigQuery, Redshift, Snowflake) and orchestration tools (Airflow, Prefect).

Nice-to-Have Expertise

• Experience with deep learning frameworks (TensorFlow, PyTorch) for NLP or computer vision tasks.
• Knowledge of MLOps practices: model deployment, monitoring (MLflow, Kubeflow), and containerization (Docker).
• Background in a high-growth tech domain like SaaS, fintech, e-commerce, or marketplace platforms.
• Contributions to open-source projects or publications in top-tier ML conferences.

Compensation & Benefits

We believe in transparent and competitive compensation. For this role, the total target annual salary range is $120,000 – $160,000 USD, determined by your experience, expertise, and geographic market. This is not the only component of your reward; you’ll also be eligible for a performance-based bonus and equity grant.

Our benefits are designed for a sustainable, high-performance remote lifestyle:

• Fully Remote Forever: Work from anywhere. We provide a $1,500 annual home office stipend and co-working space access.
• Health & Wellness: Premium medical, dental, and vision insurance for you and dependents (US-based roles). Generous mental health support and annual wellness stipend.
• Financial Security: 401(k) match, financial planning sessions, and a comprehensive parental leave policy.
• Growth & Learning: $3,000 annual budget for courses, conferences, and certifications. Dedicated “Learning Fridays” each month.
• Time Off: Unlimited PTO policy with a recommended 25+ days, plus company-wide holidays and a winter break.

How We Work (Remotely)

We are an async-first company, meaning we prioritize deep work and flexibility over synchronous meetings. Our core collaboration hours are 3 hours overlap across US and European time zones, but you control your schedule. We use a best-in-class stack: GitHub for code, Notion for docs, Slack for casual chat, and Zoom for occasional face-to-face. We value output over hours, transparency over hierarchy, and curiosity over dogma. You’ll join a supportive, diverse team that celebrates wins and learns from failures together.

Our Application Process

We’ve designed a process that respects your time and showcases your skills:

1. Submit Your Profile: Tell us about your most impactful data science project. What problem did you solve, what was your approach, and what was the business outcome? Include a link to your resume or LinkedIn and a GitHub/portfolio if available.
2. Technical Review: A 90-minute take-home case study analyzing a realistic business problem with a dataset. This is your chance to demonstrate your end-to-end thinking.
3. Team Interviews: Virtual conversations with the Hiring Manager, a future peer, and a cross-functional partner (e.g., Product Lead). We’ll discuss your experience, your approach to ambiguity, and our culture.
4. Executive Chat & Offer: A final conversation with our VP of Engineering to align on vision, followed by a transparent offer package.

We aim to provide feedback and close the loop within 3 weeks. No generic recruiters, please. We are an equal-opportunity employer, and we celebrate a diverse and inclusive team.