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Mathematical Science Jobs in Pittsburgh, PA (NOW HIRING)

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. * At least 2+ years of industry experience outside ...

Ability to explain mathematical induction, counting principles, modular arithmetic, and tree structures while preparing students for computer science theory, cryptography, and advanced mathematics ...

... and mathematical modeling problems. Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and ...

... science applications. * Conceptual Teaching & Problem-Solving: Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students ...

Emphasizes connecting algebra with geometry and applies concepts to engineering, architecture, and data science contexts. * Curriculum Awareness & Adaptive Instruction: Familiar with Integrated Math ...

Deep knowledge of GED Mathematical Reasoning content including basic arithmetic, fractions ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Mathematical Science information

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

To thrive as a Mathematical Scientist, you need strong analytical thinking, advanced mathematical knowledge, and typically at least a master's or Ph.D. in mathematics or a related field. Proficiency with statistical software, programming languages like Python or MATLAB, and mathematical modeling tools is often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate and convey complex ideas clearly. These skills are vital for developing innovative solutions, conducting rigorous research, and translating mathematical concepts into real-world applications.

What are some common challenges faced by professionals working in Mathematical Science roles, and how can they be addressed?

Professionals in Mathematical Science often encounter challenges such as translating complex mathematical concepts into practical solutions and communicating technical findings to non-expert stakeholders. Additionally, projects may require collaboration across multidisciplinary teams, which can present difficulties in aligning different approaches and expectations. To address these challenges, it's helpful to develop strong communication skills, seek feedback from peers, and stay up-to-date with industry software tools. Participating in collaborative projects and attending professional workshops can also enhance your ability to work effectively within diverse teams.

What are mathematical scientists?

Mathematical scientists are professionals who use advanced mathematical theories, techniques, and models to solve practical problems in various fields such as engineering, business, science, and technology. They conduct research to develop new mathematical principles or to apply existing ones in innovative ways. Mathematical scientists may work as mathematicians, statisticians, data scientists, or analysts, often collaborating with other experts to analyze data, optimize processes, and make informed decisions. Their work is essential in industries ranging from finance and technology to healthcare and government.

What jobs make $3,000 a month without a degree?

In the field of mathematical science, roles such as data analyst, technical support specialist, or tutoring in math can sometimes pay around $3,000 monthly without requiring a formal degree, especially with relevant skills, certifications, or experience. These jobs often involve working with software, statistical tools, or educational platforms and may require self-study or on-the-job training.

What is the difference between Mathematical Science vs Data Analyst?

AspectMathematical ScienceData Analyst
Required CredentialsMathematical Science degree, strong math backgroundDegree in statistics, mathematics, or related field
Work EnvironmentResearch labs, academia, industry R&DBusiness, finance, healthcare, tech companies
Industry UsageResearch, academia, governmentBusiness intelligence, marketing, operations
Common Search/ComparisonMathematical Science vs Data Analyst

Mathematical Science focuses on advanced mathematical theories and research, often in academic or research settings. Data Analysts apply statistical and analytical skills to interpret data for business decisions. While both roles require strong math skills, Mathematical Science emphasizes theoretical understanding, whereas Data Analysts focus on practical data interpretation in industry contexts.

What are popular job titles related to Mathematical Science jobs in Pittsburgh, PA? For Mathematical Science jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Mathematical Science jobs in Pittsburgh, PA look for? The top searched job categories for Mathematical Science jobs in Pittsburgh, PA are:
Infographic showing various Mathematical Science job openings in Pittsburgh, PA as of May 2026, with employment types broken down into 1% Internship, 61% Full Time, 35% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.
Data Science Consultant

Data Science Consultant

Deloitte

Pittsburgh, PA

Other

Posted 24 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Data Science Consultant

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce. 

Recruiting for this role ends on June 5, 2026

Work you'll do

Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Deloitte Digital's Data Science and Analytics practice is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint.

As a Consultant, you will be tasked with solving data problems end to end. This means: 

  • Ability to understand business goals and translate them into Machine Learning use cases and model design
  • Understanding and applying clustering/sampling techniques to design
  • Grow your understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  • Being able to interpret the models that are being generated 
  • Developing proofs of concept to verify your ideas
  • Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
  • Working closely with clients throughout

You'll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you're intellectually curious, hardworking and solution-oriented, you'll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you'll also work closely with our omni-channel analytics and data engineering teams to develop data pipelines and deliver on cross-functional engagements.

The team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required:

  • A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. 
  • At least 2+ years of industry experience outside of academia
  • Ability to travel 30%, on average, based on the work you do and the client and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

Preferred:

  • A Master's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates.
  • Good problem decomposition skills and autonomy when faced with solving data problems 
  • Experience manipulating large marketing data sets and performing ETL
  • Excellent hands-on knowledge of modeling approaches such as Boosted Trees, Logistic regression, Classification Techniques, Unsupervised models, LLM, and experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • Excellent verbal and written communication skills are required. Candidates must be proficient in conveying complex data insights in an accessible manner to a non-technical audience, including those outside the data science department. This entails adeptness in tailoring messages effectively and choosing appropriate visual aids to facilitate understanding.
  • Proficiency in high level scripting language, such as Python or R
  • Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large enterprises
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Experience with Deep Learning architectures and/or Reinforcement Learning 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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