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Ai Math Jobs in Massachusetts (NOW HIRING)

Amazon

Senior Product Manager, AWS Neurosymbolic AI

Boston, MA · On-site

$137K - $181K/yr

We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems ...

Varsity Tutors

College Math Tutor

Boston, MA · Remote

$18 - $40/hr

... College Math tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

College Math Tutor

Waltham, MA · Remote

$18 - $40/hr

... College Math tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Ai Math information

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What are the key skills and qualifications needed to thrive as an AI Math Specialist, and why are they important?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.
What are popular job titles related to Ai Math jobs in Massachusetts? For Ai Math jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Ai Math jobs in Massachusetts look for? The top searched job categories for Ai Math jobs in Massachusetts are:
What cities in Massachusetts are hiring for Ai Math jobs? Cities in Massachusetts with the most Ai Math job openings:
Ai Math jobs near you
Infographic showing various Ai Math job openings in Massachusetts as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution.

Principal AI Scientist

Pristine Infotech, Inc.

Boston, MA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Principal AI Scientist

Experience: 3 to 5 years. Qualification: PhD in AI, Comp Science, Math or Stats from exceptional institutions.

PRISTINE IS LOOKING FOR – Principal AI Scientist. Can you architect real‑time optimized recommendation engines leveraging cognitive, prescriptive, explainable AI? Can you develop self‑learning models? Can you envision automating creativity? Do you wish to immerse yourself in a high‑speed, small team of Retail Business Experts, AI, Behavioral & Cognitive Scientists, CX Designers, and Solution Engineers? Do you possess exceptional abstract thinking and conceptual abilities? Can you transform the abstract into a pragmatic solution? Are you very curious? Are you a ‘make‑it‑happen’ person? Pristine’s pioneering AI technology delivers an optimal experience for each individual customer of our retail and CPG clients. To survive & thrive, our clients need to transform their businesses rapidly and deliver purposeful customer experiences. This customer experience covers Product, Presentation, Pricing and Fulfillment. Every day, our SaaS platform receives and learns from 30 million+ new customer interactions, representing 12,000 stores/websites and 30 million customers. We are looking for exceptional Principal AI Scientists to rapidly advance our solutions and strengthen our leadership. For this role, we are looking for leaders with solid foundation in AI, Mathematics, or Computer Science with proven solution life cycle implementation experience.

Responsibilities
  • Contribute to sophisticated Customer Experience modeling.
  • Contribute to prescriptive modeling life cycle and optimize the end‑to‑end pipeline.
  • Partner with Customers, Retail Experts, AI Scientists, Behavioral & Cognitive Scientists, CX Designers, and Solution Engineers.
  • Understand business challenges, ask the right questions, define precise problem statements, develop solution approaches that advance the state of the art, solve critical technical problems, lead the team and rapidly deliver effective solutions.
  • Communicate business analysis and results to stakeholders using effective visuals and succinct documents.
  • Nurture team members.
  • Facilitate a positive, open work culture characterized by idea exchange, constructive peer review, co‑creation, and relentless advancement.
Key Experiences
  • Implementing a variety of AI techniques from basic descriptive statistics, hypothesis testing, feature transformation to dimensionality reduction, supervised or unsupervised learning, model tuning, and validation.
  • Designing, training and evaluating sophisticated models. Modelling complex feature sets.
  • Leveraging methods like Transfer Learning, Dimensionality Reduction and ProdtoVec.
  • Complete AI lifecycle contribution – problem identification & statement, solution approach development, data prep, analysis, visualization, algorithm development & implementation, measurement, validation & presentation, and improvement.
  • Effectively communicating complex concepts to technical and non‑technical audiences.
  • Working with colleagues across multicultural global offices.
Technical Expertise
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