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Postdoctoral Math Data Scientist Jobs (NOW HIRING)

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling ... Apply advanced statistical, mathematical, and analytical techniques to model data and support data ...

Data Scientist

Fort Belvoir, VA ยท On-site

$75K - $158K/yr

Bachelor's Degree in a STEM field (Computer Science, Mathematics, Data Engineering, etc.) * Minimum of 5-7 years of experience in data science roles, preferably with military or government projects.

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 ...

Data Scientist

Fort Belvoir, VA ยท On-site

$75K - $158K/yr

Bachelor's Degree in a STEM field (Computer Science, Mathematics, Data Engineering, etc.) Minimum of 5-7 years of experience in data science roles, preferably with military or government projects.

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 ...

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 ...

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Postdoctoral Math Data Scientist information

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$42.5K

$86K

$116.5K

How much do postdoctoral math data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for postdoctoral math data scientist in the United States is $85,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a postdoctoral math data scientist?

A Postdoctoral Math Data Scientist is a researcher who has recently completed their Ph.D. in mathematics or a related field and specializes in applying advanced mathematical methods to analyze large data sets. They work at the intersection of academic research and data science, often developing new algorithms, statistical models, or machine learning techniques to solve complex problems. Their roles may include publishing research, collaborating with other scientists, and translating mathematical insights into practical solutions for industry or academia. This position is typically a temporary, postdoctoral appointment at a university, research institute, or company.

What types of projects and collaborations can a postdoctoral math data scientist typically expect to be involved in?

As a Postdoctoral Math Data Scientist, you can expect to work on a variety of interdisciplinary projects that often involve developing new algorithms, analyzing large datasets, and publishing research findings. Collaborations are common with both faculty and industry partners, as well as with teams of other scientists, engineers, and sometimes graduate students. These roles often provide opportunities to work on cutting-edge problems in fields like machine learning, computational biology, or quantitative finance, depending on the institution or organization. The position encourages both independent research and teamwork, fostering professional growth and expanding your academic and professional network.

What are the key skills and qualifications needed to thrive as a postdoctoral math data scientist, and why are they important?

To thrive as a Postdoctoral Math Data Scientist, you need advanced expertise in mathematics, statistics, and data analysis, typically supported by a Ph.D. in mathematics, statistics, or a related quantitative field. Proficiency with programming languages such as Python or R, experience using machine learning frameworks, and familiarity with data visualization tools are essential. Strong problem-solving abilities, effective communication, and collaborative teamwork skills help distinguish top performers. These skills enable you to design and interpret complex models, communicate insights, and contribute to interdisciplinary research and innovation.

What are popular job titles related to Postdoctoral Math Data Scientist jobs?

For Postdoctoral Math Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Postdoctoral Math Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $85,959 per year, or $41.3 per hour.

Data Scientist

Collinsville, IL โ€ข On-site

Full-time

Posted 24 days ago


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.