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Data Scientist Machine Learning Jobs in Worcester, MA

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

They are seeking a Senior Data Scientist to develop AI and machine learning solutions that will enhance product offerings and optimize business strategies. Responsibilities : • Engage with business ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

The ideal candidate will have a passion for using machine learning tools and techniques to ... Use data science and machine learning principles to develop effective predictive models * Write ...

1 point system

Data Scientist

Northborough, MA · On-site

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information ... machine learning workloads * Strong proficiency in SQL, including writing complex queries and ...

Xometry

Senior Data Scientist, Costing

Waltham, MA · On-site

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

The ideal candidate will have a passion for advancing machine learning and generative AI ... a 'science fiction speed' digital thread from ideation to delivery. * Data & ML Operations: Design ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · Hybrid

The ideal candidate will have a passion for advancing machine learning and generative AI ... a 'science fiction speed' digital thread from ideation to delivery. * Data & ML Operations: Design ...

Definitive Healthcare, US

Data Scientist

Framingham, MA · On-site

$92K - $144K/yr

We are looking for a Data Scientist to help shape the next generation of analytics that power our ... MS preferred . * 3+ years of experience applying machine learning, NLP, or advanced analytics ...

Wipro Limited

DATA SCIENTIST LEAD L1(CONTRACT)

Waltham, MA · On-site

$60K - $135K/yr

Boston, MA Data scientists typically build scalable, re-usable data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software ...

Varsity Tutors

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Worcester, MA

Data Scientist Machine Learning information

See Worcester, MA salary details

$37.4K

$122.5K

$196.1K

How much do data scientist machine learning jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist machine learning in Worcester, MA is $122,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are popular job titles related to Data Scientist Machine Learning jobs in Worcester, MA? For Data Scientist Machine Learning jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Worcester, MA look for? The top searched job categories for Data Scientist Machine Learning jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data Scientist Machine Learning jobs? Cities near Worcester, MA with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Worcester, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,471 per year, or $58.9 per hour.
Sr. Data Scientist

Sr. Data Scientist

Bose Corporation

Framingham, MA • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
Bose Corporation is dedicated to improving sound for over 60 years, focusing on innovation and customer experience. They are seeking a Senior Data Scientist to develop AI and machine learning solutions that will enhance product offerings and optimize business strategies.
Responsibilities:
• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Ability to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.
Qualifications:
Required:
• MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field
• Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science
• Completed coursework related to Business/Management or Business/Customer Analytics
• 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems
• 2+ years of experience leading data science projects
• Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling.
• Experience with experimental research methods (DOE, RCT, Quasi-experimental design)
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
• Experience with and understanding of project management tools and principles
Preferred:
• Ideal candidates will have experience with MMM as well.
Company:
Bose Corporation is a privately held company that designs and manufactures audio equipment. Founded in 1964, the company is headquartered in Framingham, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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