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Math Computer Science Jobs in Rhode Island (NOW HIRING)

Systems/Data Analyst

Smithfield, RI · On-site

$55 - $60/hr

S. in Computer Science, Engineering, Mathematics, or equivalent experience. - 5+ years of Systems and Data Analysis experience within the IT field, financial services preferred. - Strong experience ...

Senior Software Engineer

Providence, RI · On-site

$123K - $163K/yr

Requires a Bachelor's degree in Computer Science, Mathematics, Computer Engineering, or Electrical Engineering, and a minimum of 5 years of related experience; or a Master's degree with a minimum of ...

Required : • Relocation to the Madison, WI area (Reimbursed) • BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field • A history of ...

Applied Mathematics and/or Computer Science. Benefits Full‐time or part‐time remote position Select the projects you want to work on Work on your own schedule Projects are paid hourly starting at ...

Designs, develops, documents, tests, and debugs software that contains logical and mathematical ... Education: Bachelorof Science Degree in Computer Engineering, Computer Science, or ...

Software Engineer III

Middletown, RI · On-site

$57.25 - $77/hr

Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. * Work with other functional disciplines (e.g ...

Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. * Update or enhance existing software capabilities.

ICERM is one of several math institutes funded by the National Science Foundation (NSF). Launched ... Bachelor's degree in technology, Computer science or related field, and 2 to 3 years of experience ...

Bachelor's degree in mathematics, statistics, computer science, information technology, or related field preferred (or any combination of educational experience) * 2+ years of experience in a data ...

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Math Computer Science information

What is the difference between Math Computer Science vs Data Scientist?

AspectMath Computer ScienceData Scientist
Required CredentialsDegree in Math, Computer Science, or related fieldsDegree in Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding technical roles, skills, and educationData analysis, modeling, and business insights

Math Computer Science focuses on theoretical and applied aspects of mathematics and computer science, often emphasizing algorithms, proofs, and computational theory. Data Scientists apply statistical and programming skills to analyze data, generate insights, and support decision-making. While both roles require strong analytical skills and programming knowledge, Math Computer Science leans more toward research and development, whereas Data Science is more business and application-oriented.

What are the key skills and qualifications needed to thrive as a Math Computer Scientist, and why are they important?

To thrive as a Math Computer Scientist, you need a strong background in mathematics, algorithms, programming, and typically a degree in computer science, mathematics, or a related field. Proficiency in programming languages such as Python, C++, or Java, and experience with mathematical software like MATLAB or Mathematica, are commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and presenting findings. These skills are important to design efficient algorithms, solve computational problems, and contribute effectively to research and development in technology-driven environments.

How do professionals in Math Computer Science typically collaborate with other departments within an organization?

Professionals in Math Computer Science often work closely with teams such as data science, engineering, finance, and product development. Their strong analytical and programming skills enable them to design algorithms, optimize processes, and interpret data, which are essential for cross-functional projects. Regular collaboration may involve participating in meetings, contributing to code reviews, and providing mathematical insights to support decision-making. Building effective communication skills is important, as explaining complex concepts to non-technical colleagues is a common part of the role.

What are Math Computer Science jobs?

Math Computer Science jobs are roles that blend mathematics and computer science skills to solve complex problems, often involving algorithms, data analysis, software development, and mathematical modeling. Professionals in this field may work as data scientists, software engineers, cryptographers, quantitative analysts, or researchers. These jobs typically require strong analytical thinking, proficiency in programming languages, and a solid understanding of mathematical concepts. Industries such as technology, finance, healthcare, and academia frequently hire people with this background. These roles often involve designing efficient algorithms, analyzing large datasets, and creating models to predict outcomes or optimize processes.
Senior Decision Scientist - Pharmacy and Consumer Wellness Analytics

Senior Decision Scientist - Pharmacy and Consumer Wellness Analytics

CVS Health

Woonsocket, RI • On-site

$101K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,230 frontline employees who took The Breakroom Quiz

79th of 99 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position description

The Pharmacy and Consumer Wellness Operations Analytics team is helping lead the effort to transform healthcare and drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights. As a member of this team within Analytics & Behavior Change (A&BC) Data Science team, you will be at the forefront of delivering high visibility analytic projects for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive revenue and profitability in CVS Health's Retail Pharmacy business with end-to-end analytical solutions. You will have the chance to solve complex problems, build predictive models and simulate impact of business decisions to improve profitability.

We are a fast-paced team focused on building innovative analytic solutions using advanced analytics and cloud capabilities. Within our team, we believe a cutting-edge analytics product can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by SMEs within the team. As a Decision Scientist, you will be part of a team driving pharmacy contracting and profitability analytics. You will be working with stakeholders and team members to identify/refine problem statement, develop options to provide analytics solutions, determine methodology to quantify the impact and develop impactful visualizations/presentations to tell the story. We are looking for talented individuals who have a strong sense of teamwork, accountability, and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.

Responsibilities

  • Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership
  • Act as the point of contact for stakeholders across multiple projects to understand strategic business analytics requirements, create document and communicate project status
  • Leverage AI tools and techniques that yield solutions to maximize productivity and profitability
  • Partner with data scientists and data engineers to define a solution approach and make recommendations.
  • Performs analyses of structured and unstructured data to solve complex business problems
  • Use data visualization techniques to effectively communicate analytical results and support business decisions.


Qualifications

  • 5+ years of experience in industry
  • 3+ years of experience programming in SQL and Python
  • 3+ years of data visualization platforms (Power BI, Tableau etc.) with experience developing POCs as well as end-to-end product implementations
  • 1+ years implementing AI based solutions for analytics and business intelligence use cases
  • Expertise in providing strategy and thought leadership around problem statement identification and analytical approaches
  • Proficiency in understanding semantic models, data models, and ability to analyze large datasets in cloud platforms
  • Strong knowledge of the underlying mathematical and statistical principles that are foundational to data science
  • Strong project management, organizational skills & Strong presentation skills with the ability to present findings and influence others as well as expertise in the use of PowerPoint
  • Experience and familiarity with cloud computing like Snowflake Azure, & GCP

Preferred Qualifications

  • Experience in financial analytics
  • Demonstrates strong ability to communicate technical concepts and implications to business partners
  • AI Savvy
  • Anticipates and prevents problems and roadblocks before they occur
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas
Education
  • Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering) with 4-7+ years of relevant experience,
    OR
  • Master's degree or equivalent in an analytic discipline with 2+ years of relevant experience.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 05/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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