Remote Predictive Modeler

Make Data Your Canvas—Shape What Happens Next

Ever wondered what it’s like to wake up, open your laptop, and know the insights you unlock today might shape a new product, turn around a marketing campaign, or help a team rethink how they serve customers—all from the comfort of your own space? This is that role. As a Remote Predictive Modeler, your curiosity and vision turn numbers into possibilities. You’re not here to build models in isolation; you’re the person who asks, “What if?” and then digs deep to find an answer, moving teams forward in ways they hadn’t considered.

The Difference You’ll Make

When a business leader is unsure where the market is headed, your models provide direction. When teams need to understand why users leave or what makes customers stick, your work makes those patterns clear—and gives them levers to pull. One month, you might help streamline supply chain operations; the next, you’re helping product teams predict adoption for a new feature. The threads you pull connect insight to action, always with an eye on tangible, real-world results. What makes this position special isn’t just the technical challenge—it’s knowing your findings change how people make decisions, every single day.

What Your Days Could Look Like

• Take messy, sometimes contradictory data from various sources and transform it into clear signals that decision-makers can trust.
• Build and tune predictive models for a wide range of applications, from user churn to campaign success, often under tight deadlines, while maintaining creative freedom.
• Sketch out algorithms that spot risks and opportunities—then present your thinking so clearly that even non-technical leaders feel empowered to act.
• Run quick experiments to refine your approach, knowing each iteration is a step toward greater accuracy and impact.
• Join virtual whiteboard sessions with product, engineering, and analytics teams to map out new ideas or dissect what’s working (and what’s not).
• Document your methods not just for compliance, but to teach others and raise the bar for future modeling.
• Share in the excitement when your work results in a record-setting launch, averted loss, or breakthrough insight.

The Tools That Power Your Work

Your toolkit is a blend of open-source and best-in-class technologies: Python or R for the heavy lifting, scikit-learn and TensorFlow for the cutting edge, SQL to manage complex databases, and Docker or Git to keep your workflow running smoothly. You’ll tell stories with data using Tableau or matplotlib, and collaborate in real time on Slack, Notion, or Zoom. Cloud platforms like AWS and GCP keep you connected and scalable, so your models are ready when teams need answers fast.

How We Work Together

Remote isn’t just a buzzword here—it’s built into our DNA. Do you need a few hours of deep focus before a model review? Go for it. Would you like to drop into a brainstorming call at midnight or mid-morning? Flexibility is real. You’ll set your hours to match your best energy, balancing solo analysis with live team sessions. There’s no micromanagement—just shared goals and mutual respect. You’ll have a budget and encouragement for conferences, online courses, and even the odd rabbit hole that leads to the next big breakthrough.

What You Bring

• An advanced degree in statistics, applied math, computer science, or another quantitative field (or a track record that proves you think at that level).
• You’ve built and deployed predictive models that moved the needle, not just in code, but in the real world where results matter.
• Your explanations are crisp, jargon-free, and tailored to whoever’s listening, whether it’s a product designer or the executive team.
• You live for the “a-ha!” moment when a messy dataset becomes a story that teams can act on.
• You’re equally comfortable in your own head or on a call with folks from sales, marketing, or design, asking the questions that drive better outcomes.
• You stay current: machine learning pipelines, MLOps, new visualization tools—you’re constantly leveling up, and you like to share what you learn.
• Problem-solving energizes you, and ambiguity doesn’t slow you down—it just makes things more interesting.

The Reward

Let’s talk real numbers: $93,085 per year, fully remote. But beyond a salary, you’ll find flexible time off, strong health coverage, and a team that genuinely wants to see you thrive. You’ll have the tech, autonomy, and support to do your best work every day.

Why Your Work Matters Here

At the end of the day, your models won’t just sit on a shelf—they’ll be the reason teams feel confident taking big leaps, the foundation for new strategies, and sometimes the difference between guesswork and game-changing clarity. If you see data as a springboard for possibility—and you want your work to matter, for real people and real decisions—you’ll fit right in.

So, what do you want to build next? If you’re ready to turn questions into answers and challenges into impact, let’s connect. We’re excited to see what you’ll create, together with us.