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From Home Predictive Modeling Jobs (NOW HIRING)

OR · On-site

$188K - $255K/yr

... models that power everything from Fit and Intent to Engagement and Triage. Why 6sense? * AI That ... Own the Core Predictive Foundation. Personally drive the strategy for our core models. You will ...

Develop end-to-end analytical solutions, from data collection to model deployment, ensuring that ... predictive models and make informed decisions based on data insights. * Provide feedback and ...

$114K - $150K/yr

Background in predictive modeling of complex metrics and financials, balancing the science and art of forecasting, and driving actionable results through foresight and insights from forecasting data

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From Home Predictive Modeling information

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How much do from home predictive modeling jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for from home predictive modeling in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $69.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Work-from-Home Predictive Modeler, and why are they important?

To thrive as a Work-from-Home Predictive Modeler, you need strong statistical analysis skills, proficiency in programming languages like Python or R, and typically a degree in statistics, mathematics, data science, or a related field. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud-based platforms (such as AWS or Azure) are highly valued, along with certifications in data science or analytics. Exceptional problem-solving abilities, attention to detail, and effective remote communication skills help set outstanding professionals apart. These skills ensure the accurate development and communication of predictive models that drive data-driven decision-making in a remote work environment.

What is a work from home predictive modeling job?

A work from home predictive modeling job involves using statistical techniques, machine learning, and data analysis to build models that forecast future outcomes based on historical data—all performed remotely. Professionals in this field analyze data sets, select appropriate algorithms, and create models to help inform business decisions or predict trends. These roles are common in industries like finance, healthcare, marketing, and insurance. Working remotely allows predictive modelers to collaborate with teams virtually, using specialized software and cloud-based tools.

What is the difference between From Home Predictive Modeling vs From Home Data Analysis?

AspectFrom Home Predictive ModelingFrom Home Data Analysis
CredentialsTypically requires a degree in statistics, data science, or related fields; certifications in predictive analytics are commonRequires similar credentials, often with a focus on data analysis, statistics, or business intelligence
Work EnvironmentRemote, often collaborative with data science teams, using modeling tools and programming languagesRemote, involves analyzing datasets, creating reports, and visualizations, often using Excel, SQL, or BI tools
Industry UsageUsed in finance, marketing, healthcare for forecasting and decision-makingApplied across industries for insights, reporting, and data-driven strategies

From Home Predictive Modeling focuses on building models to forecast future outcomes, while From Home Data Analysis emphasizes examining data to generate insights and reports. Both roles often require similar skills and credentials but differ in their primary objectives and tools used.

What are the typical collaboration methods for remote predictive modeling professionals working from home?

Remote predictive modeling professionals often collaborate through virtual meetings, shared data platforms, and cloud-based modeling tools. Effective communication with data engineers, analysts, and business stakeholders is essential, typically facilitated via video calls, chat apps, and project management systems. Regular check-ins and shared documentation help ensure alignment on project goals, model assumptions, and results. While working independently is common, there is a strong emphasis on teamwork and timely feedback to drive successful model deployment and refinement.
More about From Home Predictive Modeling jobs
What cities are hiring for From Home Predictive Modeling jobs? Cities with the most From Home Predictive Modeling job openings:
What are the most commonly searched types of Predictive Modeling jobs? The most popular types of Predictive Modeling jobs are:
What states have the most From Home Predictive Modeling jobs? States with the most job openings for From Home Predictive Modeling jobs include:
Infographic showing various From Home Predictive Modeling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $124,065 per year, or $59.6 per hour.
Product Lead, Predictive Platform

Product Lead, Predictive Platform

6sense

OR • On-site

$188K - $255K/yr

Other

Medical, Life, Retirement, PTO

Posted 29 days ago


Job description

Product Lead, Predictive Platform 

Are you a strategic thinker with a deep background in predictive modeling and a passion for leading teams? At 6sense, our differentiation is built on our ability to accurately predict intent and buyer behavior. We are looking for a Product Lead to own our Predictive Platform-the foundational engine that powers our entire intelligence layer and defines how the world's leading B2B brands identify their next customers. 

This is a Player/Coach role. You will be the primary driver of our core predictive foundation and cross-model initiatives while simultaneously serving as the people manager and program leader for a specialized pod of Product Managers. You will oversee the roadmap for how we train, measure, and scale the models that power everything from Fit and Intent to Engagement and Triage. 

Why 6sense? 

  • AI That Builds Pipe, Not Hype: Our Revenue AI identifies accounts ready to buy, crafts the right message, and qualifies meetings automatically. We don't just surface data-we deliver intelligence and action. 
  • Crack the Dark Funnel: Less than 3% of buyers engage early. We uncover hidden buying signals, decode the "breadcrumb trails," and help revenue teams connect with buyers in ways they never could before. 
  • Orchestrate the Full Journey: From dynamic audience creation to multi-channel engagement, we empower marketers to reach the right accounts, at the right time, with the right message-across advertising, email, web, and sales. 
  • Arm Operations Teams: Integrate insights, centralize audience creation, and maximize impact by connecting 6sense with your tech stack. We're the single canvas for your entire GTM strategy. 

Your Impact 

As Product Lead, Predictive Platform, you will: 

  • Lead and Scale a Specialized Pod. Act as a formal people manager for a pod of Product Managers focused on specialized modeling and intelligence initiatives. You will be responsible for their growth, performance, and alignment with the broader intelligence strategy. 
  • Own the Core Predictive Foundation. Personally drive the strategy for our core models. You will define the roadmap for how these models are consumed by downstream applications across the entire 6sense ecosystem. 
  • Drive Cross-Model Initiatives. Establish the global standards and methodologies for ongoing model training, feedback loops, and accuracy measurement to ensure our predictions remain the industry benchmark. 
  • Maximize Model Leverage. Enforce a "build once, use everywhere" philosophy, ensuring that platform engines provide maximum value to all surface apps and specialized use cases. 
  • Be a Strategic Partner to Leadership. Partner directly with the Head of Intelligence Product to align the predictive roadmap with company strategy, surfacing model risks early and identifying opportunities for portfolio tradeoffs. 

Strategic Themes You'll Drive 

  • Customer Trust and Reliability. Drive the strategy for building high-integrity intelligence that is trusted by enterprise leaders and adapts to a wide range of global business requirements. 
  • Leveraged Engine Strategy. Move toward an operating model where core predictive engines are seamlessly consumed by all App teams, reducing duplication and accelerating time-to-market. 
  • Data-to-Model Integrity. Ensure the connective tissue between our data foundation and our predictive layer is robust and high performing. 

What You'll Bring 

  • People Leadership. Proven experience building and leading product teams. You know how to coach PMs through complex roadmaps and create a culture of high accountability. 
  • Predictive Product Mastery. Deep expertise in predictive modeling, machine learning lifecycles, and data science collaboration from a product perspective. You have a track record of shipping complex ML-driven products at scale. 
  • Operating Rigor. You build operating rhythms that turn messy data and model dependencies into clean execution. You focus on the methodologies that ensure long-term product performance. 
  • B2B Mindset. Strong understanding of B2B data models and how predictive scoring drives GTM outcomes. 
  • Experience. 8-10+ years in Product Management, with a focus on AI, ML, or Data Science products, including 3-5+ years of formal people management experience. 

Why You'll Love This Role 

  • Impact: Your work creates the Predictive Core for the entire company, ensuring our foundational modeling engines remain the most accurate and trusted in the B2B market. 
  • Innovation: You will define the Predictive Lifecycle Strategy, building the architectural leverage that allows our modeling teams to move from discovery to platform-wide deployment with high velocity. 
  • Growth: Join a rocket ship, learn every day, and accelerate your career in a collaborative, high-energy environment. 
  • Fun: We take our work seriously, but not ourselves. Expect GIFs, puns, and the occasional ABM meme. 

Base Salary Range: $188,997.50 - $255,863.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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