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Predictive Modeling Jobs in New York (NOW HIRING)

This role designs and develops predictive models (e.g., for performance, turnover, and hiring outcomes), automates data integration between spreadsheets and HR systems, and builds robust data ...

Support data science and predictive modeling initiatives through data preparation, feature development, exploratory analysis, and model performance reporting * Collaborate with data scientists and ...

Data Scientist

Manhattan, NY · On-site

$120 - $180/hr

You will uncover insights, develop predictive models, and help shape strategies that improve customer experiences, operational performance, and business growth. Key Responsibilities * Develop ...

New

... predictive models identifying optimization opportunities and supporting data driven decision making across the enterprise The ideal candidate is curious, Key Responsibilities Analyze structured and ...

... predictive modeling • Strong problem solving skills • Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences • Excellent interpersonal and ...

Apply advanced statistical and predictive modeling techniques to forecast losses, support credit decisioning, and improve portfolio performance. * Maintain rigorous model development workpapers and ...

Apply advanced statistical and predictive modeling techniques to forecast losses, support credit decisioning, and improve portfolio performance. * Maintain rigorous model development workpapers and ...

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Predictive Modeling information

See New York salary details

$11

$64

$90

How much do predictive modeling jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for predictive modeling in New York is $64.23, according to ZipRecruiter salary data. Most workers in this role earn between $57.60 and $74.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in predictive modeling, 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 predictive modeling?

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 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 are the most commonly searched types of Predictive Modeling jobs in New York?

The most popular types of Predictive Modeling jobs in New York are:

What are popular job titles related to Predictive Modeling jobs in New York?

For Predictive Modeling jobs in New York, the most frequently searched job titles are:

What job categories do people searching Predictive Modeling jobs in New York look for?

The top searched job categories for Predictive Modeling jobs in New York are:

What cities in New York are hiring for Predictive Modeling jobs?

Cities in New York with the most Predictive Modeling job openings:

Infographic showing various Predictive Modeling job openings in New York as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $133,606 per year, or $64.2 per hour.

Predictive Analytics Analyst

NYULMC

New York, NY • On-site

Full-time

Medical, Retirement

Re-posted 2 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

13th of 887 rated healthcare providers


Job description


NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News & World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.
For more information, go to NYU Langone Health, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter, YouTube and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Predictive Analytics Analyst.
In this role, the successful candidate is responsible for leveraging advanced statistical and machine learning techniques to generate actionable insights from HR and business data. This role designs and develops predictive models (e.g., for performance, turnover, and hiring outcomes), automates data integration between spreadsheets and HR systems, and builds robust data pipelines to ensure timely, accurate reporting. Partnering closely with HR and cross-functional teams, the analyst translates complex analyses into clear, practical recommendations that support workforce planning, talent strategies, and organizational performance. The position requires strong technical skills in Python/R and relational databases, a solid grounding in statistics and data science, and the ability to communicate insights effectively to non-technical stakeholders while driving continuous improvement in People Analytics methodologies and practices.
Job Responsibilities:
  • Lead or contribute to cross-functional People Analytics projects, overseeing data pipelines, predictive modeling, and stakeholder engagement.
  • Perform advanced statistical analyses (e.g., tests, non-parametric tests, multivariate analysis, winsorization) to evaluate salary band positioning, tenure, performance trends, turnover analysis, and pay equity.
  • Augment analytical report outputs with fact-based examples, observations, and recommendations that guide informed decision-making.
  • Keep up to date with new academic and industry developments in data analytics, machine learning, data science, people analytics, and HR technology, and incorporate relevant methods into practice to continuously improve analytical methods and predictive modeling approaches.
  • Provide data insights and suggestions to solve complex HR and business problems by formulating, developing, and interpreting statistical and machine learning models.
  • Derive actionable insights from structured and unstructured HR data (e.g., HRIS, ATS, performance, engagement, compensation, etc.).
  • Communicate analytical results clearly and succinctly through presentations, dashboards, and written narratives tailored to non-technical stakeholders.
  • Work closely with HR and business leaders to make value-added analytical services available to internal customers.
  • Be creative, collaborative and a self-starter, proactively identifying opportunities to use analytics to improve HR and business outcomes.

Minimum Qualifications:
To qualify you must have a Bachelor's Degree is required. Strong preference in Statistics, Mathematics, Computer Science, Data Science, Economics, industrial/systems engineering, information management, epidemiology, or other related quantitative skills. 3 or more years of experience in predictive modeling and data mining using large and complex datasets; experience in People Analytics / HR analytics strongly preferred (experience in other analytics-heavy domains such as insurance, financial services, or retail is also valuable). Hands-on experience with Python, R, SQL, cloud platforms, and machine learning. Hands-on experience building predictive models (e.g., linear and logistic regression, GLM, decision trees, cluster analysis, principal components, feature creation and validation) using Python and/or R. Experience leading or contributing to cross-functional analytics projects, coordinating data pipelines, modeling workstreams, and stakeholder communication. Data visualization and dashboarding (e.g., Power BI, Tableau, or similar). Strong written and verbal communication skills for explaining complex analyses to non-technical stakeholders.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Langone Health provides a salary range to comply with the New York State Pay Transparency Law. The salary range for the role is $110,000.00 - $130,000.00 annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay, or other forms of compensation or benefits.
NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.

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