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Predictive Modeling Jobs (NOW HIRING)

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 ...

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$188K - $255K/yr

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 ...

The position will focus on building, testing, validating, and deploying predictive and optimization models that support credit underwriting decisions. The consultant will develop data-driven ...

$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

Predictive modeling * Data science * Insurance/financial services analytics (preferred) * Strong knowledge of: * Statistical analysis * Predictive modeling * Machine learning concepts * Data ...

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How much do predictive modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for predictive modeling in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
More about Predictive Modeling jobs
What cities are hiring for Predictive Modeling jobs? Cities with the most 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 Predictive Modeling jobs? States with the most job openings for Predictive Modeling jobs include:
Product Lead, Predictive Platform

Product Lead, Predictive Platform

6sense

Remote

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

Our Mission:
6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
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
Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We'll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com