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Mathematics Data Science Jobs (NOW HIRING)

Apple

Staff Data Scientist

Sunnyvale, CA · On-site

$203K - $305K/yr

Masters in Statistics, Mathematics, Data Science, ML, Physics, Engineering, CS or equivalent * 5+ years of experience as a Data Scientist * Expert proficiency in statistical analysis, causal ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

Bachelor degree required -- Data Science, Applied Mathematics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Qualifications: - Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field. - 3+ years of experience in machine learning, statistical modeling, and ...

Mindlance

Senior Data Scientist

Mclean, VA

Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may ...

ICONMA

Data Scientist Senior

Mclean, VA · On-site

... mathematics, data science, or computer programming to large data sets. Qualifying coursework may include--but is not limited to--statistics, mathematical programming, optimization, machine learning ...

Apple

Staff Data Scientist

Sunnyvale, CA

$203K - $305K/yr

Preferred Qualifications PhD in Statistics, Mathematics, Data Science, ML, Physics, Engineering, Computer Science or in a quantitative field Publications or patents in causal inference, ML, or ...

Georgia IT Inc

AI/ML Data Engineer

Manhattan, NY · Hybrid

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related field . * 8+ years of experience in data science, machine learning, or data engineering roles.

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Forbes Media LLC

Senior Data Scientist

Jersey City, NJ · On-site +1

$261K/yr

Master's degree in Operations Research, Computer Science, Statistics, Mathematics, Data Science, or related field, or the foreign degree equivalent. At least five (3) years of experience with ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

Minimum 4-year degree in Computer Science, Statistics, Mathematics, Data Science, Computer Engineering, or similar field. * Deep knowledge of common programming languages (Python, R, Julia), data ...

eTeam

Data Science

Cupertino, CA · On-site

Data Science Location: Cupertino, CA/ Austin, TX Duration: 6 Months Description: MINIMUM ... Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

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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.
Senior Simulation Engineer with Security Clearance

Senior Simulation Engineer with Security Clearance

Data Machines

Reston, VA

$108K - $149K/yr

Other

Posted 21 days ago

Job description

Senior Simulation Engineer
Job# 1170-S
Location: Reston, VA
Clearance Requirement: Secret
Job Description and Responsibilities:
Data Machines seeks a seasoned Simulation Engineer with the desire to work with our team supporting the development and production of cutting-edge defense and intelligence simulation capabilities. The ideal candidate will use operations research and software development skills to encode custom agent behaviors and interfaces for, and apply Artificial Intelligence and Machines Learning to, discrete event simulations, creating interfaces between the simulation and external software, and use statistical routines to conduct post-processing of simulation-generated data and provide insights in machine-readable and human-readable formats.
Candidates should have strong problem-solving skills, software development experience, and an excitement for cutting-edge defense and intelligence capabilities.
Successful candidates will be passionate about new ideas and enjoy the ownership of implementation, and eagerly support and contribute to the implementation of their teammates' ideas.  
Come join us as we work to solve some of the industry's biggest challenges. Data Machines fosters a culture of professional growth and development in a collaborative, open environment.
Multiple positions may be filled through this opening
Minimum Qualifications: • Bachelor’s degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline • Industry experience encoding the scientific principles of military and defense operations • 4+ years of experience each with C++ and Python • 4+ years experience with one of the following: AFSIM, NGTS, OneSAF, GCAM, Command PE, STORM • Active Secret clearance
Preferred Qualifications: • Master’s degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline • Experience developing plugins for AFSIM • Experience with additional defense simulation frameworks • Experience with distributed simulations • TS clearance with SCI eligibility

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