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Mathematics Data Science Jobs (NOW HIRING)

1872 Consulting

Data Scientist

Washington, DC · On-site

Eight (8) years relevant experience in applied data science research or big data analytics. * Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science ...

VTG

Data Scientist

Mclean, VA · On-site

TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At least 3 years of demonstrated experience directly relevant to analytics, quantitative ...

Google

Product Data Scientist, Search

Mountain View, CA · On-site

Required : • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. • 5 years of work experience with analysis applications ...

VTG

Data Scientist

Mclean, VA · On-site

TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At least 3 years of demonstrated experience directly relevant to analytics, quantitative ...

VTG

Data Scientist

Mclean, VA · On-site

TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At least 3 years of demonstrated experience directly relevant to analytics, quantitative ...

VTG Defense

Data Scientist

Mclean, VA · On-site

TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At least 3 years of demonstrated experience directly relevant to analytics, quantitative ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

SOSi

Data Scientist

El Paso, TX

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

VTG

Data Scientist with Security Clearance

Fairfax, VA · On-site

TS/SCI with Full Scope Polygraph BS in a quantitative field (mathematics, data science, statistics) At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis ...

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Mathematics Data Science information

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

To thrive as a Mathematics Data Scientist, you need expertise in mathematics, statistics, and programming, often backed by a degree in math, statistics, or a related field. Proficiency with data analysis tools like Python, R, SQL, and machine learning frameworks such as TensorFlow or scikit-learn is typically required. Strong problem-solving skills, critical thinking, and the ability to communicate complex results clearly set outstanding professionals apart. These skills are crucial for extracting actionable insights from data, making informed decisions, and effectively collaborating with stakeholders.

How does a Mathematics Data Scientist typically collaborate with other departments within an organization?

Mathematics Data Scientists often work closely with cross-functional teams such as engineering, product management, and business analytics. They translate complex mathematical models and data-driven insights into actionable strategies by communicating findings in an accessible way. Collaboration often involves participating in regular meetings, sharing data analysis results, and refining models based on feedback from stakeholders. This teamwork ensures that data-driven solutions align with business goals and can be effectively implemented across different departments.

What is Mathematics Data Science?

Mathematics Data Science is a field that combines mathematical theory, statistical methods, and computational techniques to analyze and interpret complex data. Professionals in this area use mathematical models and algorithms to extract meaningful insights from large datasets, supporting decision-making in various industries. The role often involves tasks such as data analysis, machine learning, and predictive modeling, requiring a strong foundation in mathematics, statistics, and computer programming.

What is the difference between Mathematics Data Science vs Data Analyst?

AspectMathematics Data ScienceData Analyst
Required CredentialsDegree in Mathematics, Statistics, or Data ScienceDegree in Statistics, Business, or related fields
Work EnvironmentData science teams, research labs, tech companiesBusiness departments, marketing, finance
Employer & Industry UsageTech firms, finance, healthcare, academiaRetail, marketing, finance, consulting

Mathematics Data Science focuses on developing models, algorithms, and advanced statistical techniques to extract insights from complex data. Data Analysts primarily interpret existing data sets to generate reports and support decision-making. While both roles require strong analytical skills, Mathematics Data Science involves more programming, machine learning, and mathematical modeling, whereas Data Analysts focus on data visualization and reporting.

Infographic showing various Mathematics Data Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Data Scientist

Data Scientist

1872 Consulting

Washington, DC • On-site

Other

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

Job description

Data Scientist

Washington, D.C.

Requirements:
  • Eight (8) years relevant experience in applied data science research or big data analytics.
  • Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of experience.
  • Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  • Ability to communicate analysis techniques, concepts and products.
  • Ability to develop data-driven solutions, data models, and visualizations
  • Be a US Citizen and pass a rigorous background check
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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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