1

Predictive Modeling Jobs in Massachusetts (NOW HIRING)

$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

Summary Are you an experienced actuarial leader ready to influence pricing strategy, predictive ... Knowledge of model governance, validation, monitoring, and documentation practices. * Advanced ...

Are you an experienced actuarial leader ready to influence pricing strategy, predictive analytics ... Knowledge of model governance, validation, monitoring, and documentation practices. * Advanced ...

$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

$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

Develop predictive models to forecast demand, inventory levels, and procurement needs. * Use AI, statistical methods, machine learning algorithms, and simulation techniques to optimize supply chain ...

next page

Showing results 1-20

Predictive Modeling information

See Massachusetts salary details

$11

$64

$90

How much do predictive modeling jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for predictive modeling in Massachusetts is $64.12, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.57 per hour, depending on experience, location, and employer.

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

The most popular types of Predictive Modeling jobs in Massachusetts are:

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

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

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

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

Infographic showing various Predictive Modeling job openings in Massachusetts as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

Director, Cheminformatics - Modeling & Informatics

Scorpion Therapeutics

Cambridge, MA • On-site

$180 - $240/hr

Other

Posted 6 days ago


Job description

Responsibilities
  • Set vision and strategy for cheminformatics capabilities and platforms that accelerate scientific learning and decision-making in drug discovery
  • Lead a multi-site team of cheminformatics and data science specialists (data engineering, analytics, scientific software development)
  • Develop talent, foster diversity of thought, and build an inclusive, high-performing culture
  • Engage stakeholders across the drug discovery spectrum (target identification, chemical biology, lead optimization, safety)
  • Translate scientific challenges into scalable data architectures, workflows, and algorithmic approaches
  • Drive next-generation cheminformatics workflows using modern technologies (ML incl. generative/predictive modeling, knowledge graphs, emerging AI)
  • Ensure developed capabilities are deployed and adopted with project teams and modeling partners
  • Partner with IT to co-develop robust, sustainable scientific platforms
  • Balance investment in new capabilities with effective utilization of existing solutions
  • Collaborate with Bioinformatics, Biostatistics, Quantitative Biology, and Modeling leaders to align strategy and priorities
  • Work with Modeling, Structure, and Biophysics to identify cheminformatics opportunities
  • Maintain visibility across the discovery portfolio to identify emerging needs
Education & Qualifications
  • BS/MS/PhD in a relevant STEM field (cheminformatics, bioinformatics, chemistry/biology, statistics, computational chemistry/biology, data science, AI/ML, computer science, math, etc.)
  • PhD + 7+ years (or MS + 9+ years, or BS + 13+ years) applying computational/data science to interdisciplinary drug discovery problems
  • 2+ years managerial experience in team building, talent development, and inclusive leadership
Required Skills
  • Design/implement modern computational workflows (coding best practices, cloud systems, MLOps/DataOps)
  • Strong cheminformatics, data analytics, and data engineering knowledge (early drug discovery)
  • Predictive modeling and advanced analytics in a collaborative, matrixed environment
  • Collaborate across functions and influence strategy across scientific/technical domains
  • Engage effectively with IT to co-develop scalable platforms
  • Strong communication and stakeholder engagement skills
#J-18808-Ljbffr