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Propensity Jobs (NOW HIRING)

campus4tech

Data Scientist

Manhattan, NY · On-site

The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer will drive end-to-end model development, including propensity modeling and integration with data engineering pipelines, while leveraging GenAI to accelerate outcomes. Supporting ...

ClifyX

Applied ML Engineer

Louisville, KY · On-site

Experience with propensity, ranking, uplift, or optimization models. ML frameworks (TensorFlow, PyTorch, scikit-learn). Feature store integration, model serving via low-latency APIs. • Key Skills:

PandaDoc

Senior GTM Data Scientist

Design, build, and deploy foundational GTM models, including Customer Lifetime Value (LTV) forecasting, Marketing and Sales Attribution, and Propensity models (e.g., propensity to convert, churn, or ...

Verizon

Principal AI Engineer

Basking Ridge, NJ · On-site

You will serve as a lead within our team of propensity modelers, driving the technical execution of Verizon's transition to a modern, agile pod model. In this principal-level role, you will operate ...

Yamaha

Salesforce Cloud Engineer

Kennesaw, GA · On-site

$51.25 - $68/hr

Develops and deploys propensity models to support customer segmentation, targeting, and personalization initiatives * Design and maintainscalable data pipelines(batch and zero-copy) to ingest, unify ...

Thalner Electronic Labs

Account Manager

Ann Arbor, MI · On-site

The candidate would need to have a propensity for technology (display, sound and digital signal tech) and enjoy systems design. Work includes prospecting, reporting, assembling and managing teams and ...

Techsa

Senior AI Machine Learning Engineer

Whitehall, PA · On-site

$120 - $190/hr

... propensity scoring, LTV estimation, next-best-action * - Design and build feature pipelines using Apache Flink(streaming) and Spark (batch) for real-time and batch ML * - Implement MLOps practices ...

New

Heartland Credit Union IL

Full Time Teller

Springfield, IL · On-site

$15.65 - $20.92/hr

Heartland Credit Union is seeking a highly motivated and positive individual with a propensity to serve others to fill the position of full-time Teller. Our tellers engage with our members regarding ...

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All JobsPropensity Jobs

Propensity information

See salary details

$64.5K

$126.7K

$193.5K

How much do propensity jobs pay per year?

As of Aug 22, 2026, the average yearly pay for propensity in the United States is $126,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Propensity jobs?

Cities with the most Propensity job openings:

What states have the most Propensity jobs?

States with the most job openings for Propensity jobs include:

What job categories do people searching Propensity jobs look for?

The top searched job categories for Propensity jobs are:

Propensity jobs near you
Infographic showing various Propensity job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,736 per year, or $60.9 per hour.

Data Scientist with Propensity Model at San Jose, CA

Tekshapers Inc

San Jose, CA • On-site

Other

Re-posted 12 days ago

Job description

Key Responsibilities:

  • Develop models, perform data analysis, and generate insights to support product and business decisions.
  • Collaborate with cross-functional stakeholders to define key business questions and project goals.
  • Gather, extract, and clean data from multiple sources using tools such as SQL, R, or Python and

validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

  • Design and evaluate predictive models and machine learning algorithms to solve business challenges.
  • Present findings in a clear and concise manner to both technical and non-technical audiences.

Projects Expectations:

  • Improve Workspace EDU Upsell Propensity Model for International Markets. We developed a Workspace EDU upsell propensity for North America (NORTHAM) that identifies customers with a high likelihood of upgrading from a free EDU sku to a paid version. We plan to extend this model for scoring EDU International customers. There's an opportunity to enhance the methodology by incorporating additional data signals and developing a machine learning model tailored to the international markets. A related project here would be to conduct an A/B test to measure the impact of the current version of the propensity model in free to paid conversions for the international markets. Additionally test if models built for specific international markets outperforms NORTHAM model applied globally.
  • Build ChromeOS Enterprise Upsell model. We're currently developing a propensity model to improve the productivity of ChromeOS ADRs (sales development reps). The model will help us prioritize account assignments for the ADRs based on the customers' propensity to adopt ChromeOS as their main enterprise IT mgmt platform. Over time, we would want to extend the model to improve upsell of ChromeOS within the existing ChromeOS customers
    • E.g. a customer with 1000 employees adopts ChromeOS but activates the product for only 500 employees; upselling here means to increase ChromeOS adoption to all 1000 employees
    • The propensity model will help identify customers which are more likely to respond positively to the upsell pitch
  • Enhance ChromeOS Online Sales Program. Online sales is a key New Business acquisition channel for ChromeOS. Overall, the SMB New Business is currently growing at 18% YoY, whereas, the target growth rate is 23%. At the moment, direct online sales have a strong momentum, growing 23% YoY. We believe we can leverage this momentum to increase the overall SMB NB sales growth rate to >= 23% YoY
    • BAU, customers sign up for the ChromeOS trial product (which is free) via the online sales platform. We then monitor those customers and try to predict which of these customers would convert to a paid SKU organically vs which customers need a sales touch point for conversion
    • With only 1 FTE managing online sales, we must prioritize which customers we should touch. However, predicting these customers is quite hard
    • The propensity model (leveraging both 1p and 3p data sources) would help us identify which customers should we prioritize for the sales touch point
Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.