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Predictive Modeling Jobs in Massachusetts (NOW HIRING)

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools * Create valuable insights from datasets directly with ...

Data Scientist - NYC

Lynn, MA · On-site +1

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools * Create valuable insights from datasets directly with ...

Data Scientist - NYC

Cambridge, MA · On-site +1

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools * Create valuable insights from datasets directly with ...

Data Scientist - NYC

Newton, MA · On-site +1

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools * Create valuable insights from datasets directly with ...

Data Scientist - NYC

Quincy, MA · On-site +1

$100 - $200/hr

Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools * Create valuable insights from datasets directly with ...

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Core responsibilities include predictive modeling, applied research, experimentation, and communicating technical findings to inform baseball decisions. POSITION OVERVIEW: The Boston Red Sox seek a ...

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

... predictive modeling, population health analytics, and AI-driven decision support, to enable real-time and strategic decision-making. • Drive continuous improvement of analytics services through ...

You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and ...

Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage ...

... Developing predictive models and conducting scenario analysis to support strategic decision-making - Building and maintaining data pipelines and warehouses to support analytics frameworks ...

Showing results 21-40

Predictive Modeling information

See Massachusetts salary details

$11

$64

$90

How much do predictive modeling jobs pay per hour?

As of Jul 26, 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 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.
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 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 July 2026, with employment types broken down into 68% Full Time, 11% Part Time, 3% Temporary, and 18% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Boston, MA • On-site

$100 - $200/hr

Contractor

Posted 19 days ago


Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:
  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC.

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
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