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25 of the Highest Paying Data Scientist Jobs in 2024

The best Data Scientist jobs can pay up to $322,500 per year.

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Data science combines knowledge and practices from several fields to collect, assess, and process data in a meaningful way. Deciding what data to collect, analysis of the data, and interpretation of the results guide the data scientist to discover significant patterns and trends that are useful to the clients they serve. Data scientists must go through extensive training to enter the field; you need to have at least a master's degree in Applied Mathematics, Operations Research, Industrial Engineering with Mathematics focus, Machine Learning, Physics, or a related field, but many have a doctorate. They must also be proficient in coding and programming software.

High Paying Data Scientist Jobs

  • Director Statistical Programming

    The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

  • Principal Statistical Programmer

    The majority of Principal Statistical Programmer salaries across the United States currently range between $151,500 (25th percentile) and $203,000 (75th percentile) annually. This moderate range of salaries suggests pay in this role will be consistent, regardless skill level, location and years of experience, though some advancement is possible. Based on recent job postings on ZipRecruiter, the Principal Statistical Programmer job market in the United States is moderately active, with several companies hiring.

  • Clinical Statistical Programmer

    Salary range: $71,500-$169,500 per year

    The job duties of a clinical statistical programmer involve collecting data, performing statistical analysis, and analyzing data sets according to the needs of their employer or client. Your responsibilities in this career may involve using SAS programming to create and analyze data sets during clinical trials or other clinical experiments and studies. You may also be involved in performing data integration for reports following clinical research or statistical analysis for quality control (QC).

  • Statistical Programmer

    A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

  • Senior Data Modeler

    The majority of Senior Data Modeler salaries across the United States currently range between $124,500 (25th percentile) and $159,500 (75th percentile) annually. This moderate range of salaries suggests pay in this role will be consistent, regardless skill level, location and years of experience, though some advancement is possible. Based on recent job postings on ZipRecruiter, the Senior Data Modeler job market in the United States is somewhat active, with a few companies hiring.

  • Machine Learning Engineer

    A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

  • Clinical Programmer

    The majority of Clinical Programmer salaries across the United States currently range between $111,500 (25th percentile) and $152,500 (75th percentile) annually. This moderate range of salaries suggests pay in this role will be consistent, regardless skill level, location and years of experience, though some advancement is possible. Based on recent job posting activity on ZipRecruiter, the Clinical Programmer job market in the United States is not very active as few companies are currently hiring for this role. You can try exploring related titles to find jobs with more active opportunities.

  • Senior Statistical Programmer

    The majority of Senior Statistical Programmer salaries across the United States currently range between $107,000 (25th percentile) and $148,000 (75th percentile) annually. This moderate range of salaries suggests pay in this role will be consistent, regardless skill level, location and years of experience, though some advancement is possible. Based on recent job postings on ZipRecruiter, the Senior Statistical Programmer job market in the United States is moderately active, with several companies hiring.

  • Data Modeler

    As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

  • Predictive Modeler

    The majority of Predictive Modeler salaries across the United States currently range between $109,500 (25th percentile) and $142,000 (75th percentile) annually. This moderate range of salaries suggests pay in this role will be consistent, regardless skill level, location and years of experience, though some advancement is possible. Based on recent job posting activity on ZipRecruiter, the Predictive Modeler job market in the United States is not very active as few companies are currently hiring for this role. You can try exploring related titles to find jobs with more active opportunities.

  • R Developer

    An R developer is a software developer that specializes in the free software environment and programming language know as R. As an R developer, your responsibilities revolve around writing code for data analysis, statistical computing, and modeling. Qualifications are not universal for this career, but you likely need at least an associate degree in computer science. Since there is no formal certification for the R language, you should develop a strong portfolio to showcase your skills. Experience with statistics is also essential for this role. You can find work as an R developer in a variety of industries, but finance is one of the most common.

  • R Programmer

    An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

  • Taxonomist

    A taxonomist is a scientist that classifies and names living organisms. This job involves gathering, studying, and classifying plant and animal species. Typical duties include analyzing living organisms to determine how to classify them. Taxonomists now use specialized computer software to perform this research on new specimens to compare similarities in their external structures and DNA sequences. Some people in this career work solely in an office or laboratory while others spend time in the field searching for new plants and animals.

  • Modeling and Simulation Analyst

    A modeling and simulation analyst uses computer software to perform analysis on systems, products, and processes or to predict outcomes. Your duties can vary depending on the industry in which you work. You design systems that use data to simulate different scenarios. You report the results of your simulations, define issues that came up, and offer solutions. Your responsibilities include running these solutions or alternate scenarios through your computer model. You can find employment in research and development departments, in the business sector, and with military and defense contractors. Government agencies and organizations also use modeling and simulation analysts.

  • Statistical Programmer Analyst

    The majority of Statistical Programmer Analyst salaries across the United States currently range between $74,000 (25th percentile) and $126,500 (75th percentile) annually. This large range of salary potential suggests there may be many opportunities for advancement and increased pay depending on skill level, location and years of experience. Based on recent job posting activity on ZipRecruiter, the Statistical Programmer Analyst job market in the United States is not very active as few companies are currently hiring for this role. You can try exploring related titles to find jobs with more active opportunities.

  • Data Visualization Developer

    Data visualization pertains to any visual representation used to explain the significance of data. A data visualization developer is someone who creates these graphic representations. Their primary responsibilities are to produce visual depictions of text-based data that reveals the patterns, trends, or correlations between different points. Duties include using software to create dashboards to showcase information, performing data analysis and data modeling, and reporting on various data points. A data visualization developer may need to create a wide variety of graphics to display information, such as infographics, charts, graphs, data maps, or interactive data interfaces.

  • Decision Science Analyst

    The majority of Decision Science Analyst salaries across the United States currently range between $62,500 (25th percentile) and $93,500 (75th percentile) annually. This moderate range of salaries suggests pay in this role will be consistent, regardless skill level, location and years of experience, though some advancement is possible. Based on recent job postings on ZipRecruiter, the Decision Science Analyst job market in the United States is active, with some companies hiring.

  • Modeler

    A data modeler builds an organizational structure for a company’s data. As a data modeler, your primary responsibility is database design. Following directives from business leaders, your focus may be reducing data redundancy, improving data migration, or facilitating data retrieval. Collaboration with data architects and other data modelers is a regular aspect of your job as the team works to create physical, logical, and conceptual data models that help achieve business objectives. Your ability to translate raw data into actionable information is of great value to large corporations.

  • Data Quality Specialist

    The majority of Data Quality Specialist salaries across the United States currently range between $52,000 (25th percentile) and $87,000 (75th percentile) annually. This large range of salary potential suggests there may be many opportunities for advancement and increased pay depending on skill level, location and years of experience. Based on recent job postings on ZipRecruiter, the Data Quality Specialist job market in the United States is active, with some companies hiring.

  • Decision Analyst

    The majority of Decision Analyst salaries across the United States currently range between $44,000 (25th percentile) and $82,000 (75th percentile) annually. This large range of salary potential suggests there may be many opportunities for advancement and increased pay depending on skill level, location and years of experience. Based on recent job posting activity on ZipRecruiter, the Decision Analyst job market in the United States is not very active as few companies are currently hiring for this role. You can try exploring related titles to find jobs with more active opportunities.

  • Biometrician

    As the name might suggest, a biometrician is a conglomeration between biologists and mathematicians. They are a biological statistician that utilizes mathematics to advise organizations on issues related to health or biology. In this career, you may have a variety of duties depending on your specific field and goals. You may analyze the outcomes of clinical trials or experimental medical programs to determine benefits and side effects. You may also review practices within the pharmaceutical industry to determine the efficacy of their programs. Your responsibilities vary, but generally speaking, you perform data analysis to improve the quality and effectiveness of our healthcare systems.

  • Data Miner

    Data miners, also known as data mining analysts or data mining specialists, analyze large amounts of data to identify patterns and trends that provide useful information to their company or client. Data mining uses a combination of computer software and analytics to examine large quantities of data and calculate predictive statistical information. As a data miner, you process this information into readable reports, which are used by company management to make business decisions. Data miners are found in many different industries, including health care, finance, and information technology.

  • Associate Data Scientist

    The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

  • Biometric Technician

    As a biometric technician, you work with forensic technology in collaboration with law enforcement agencies toward criminal identification, often through a fingerprint, palm or face print, iris sensors, or DNA. You aid in crime scene reconstruction, interpret evidence, and collect and analyze samples to compare with suspects and victims. Your duties may sometimes require you to testify in a court of law. Your work may be at the local, state, or federal level and typically takes place in a lab setting. Some technicians also find careers in fingerprinting for civil identification records or in high tech fields, like smartphone fingerprint technology developers.

  • Machine Learning Intern

    A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.