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HomeBlogData ScienceTop 12 Highest Paying Data Science Jobs in 2024 [With Salary]

Top 12 Highest Paying Data Science Jobs in 2024 [With Salary]

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09th May, 2024
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    Top 12 Highest Paying Data Science Jobs in 2024 [With Salary]

    Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. But which data science jobs pay the most? From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them.

    What is Data Science?

    Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data.

    Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine. It encompasses a broad range of facets and can refer to data science as a science, a research method, a research paradigm, workflow, discipline, workflow, and profession.

    If you aim to bag the data scientist highest salary, you must be skilled with the above skills. If you are lacking those skills and want to get training, get to know the Data Science course fee and go for the program.

    List of Highest Paying Data Science Job Titles With Salary

    Studies suggest the data scientists' employment rate will surge to 36% by 2031. 49% of the job ads on LinkedIn are in the Tech and IT industry. While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Below we have curated a list of the highest paying data science jobs:

    High Paying Data Science JobsSalary (Per year)
    Data Architect$165,583
    Data Scientist$126,694
    Data Modeler$126,811
    Big Data Engineer$120,269
    AI Engineer$128,280
    Machine Learning Engineer$132,910
    Enterprise Architect$215,617
    Business Intelligent Analyst$87,646
    Database Manager$80,949
    NLP Engineer$137,757
    Data Analyst$70,210
    Database Developer$86,864

    Source: Glassdoor, Indeed

    1. Data Architect

     Data Architect
    ScyllaDB

    Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

    • Responsibilities: Data architects assess an organization's data sources and design plans for centralized data management. They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards.
    • Skills Required: Data architects must be proficient in programming languages such as Python, Java, and C++, Hadoop and NoSQL databases, predictive modeling, and data mining, and experience with data modeling tools like Visio and ERWin.
    • Average Annual Salary of Data Architect: On average, a data architect makes $165,583 annually. It may go as high as $211,000!

    2. Data Scientist

    A data scientist is a professional who uses scientific methods, algorithms, and systems to extract insights from data.

    • Responsibilities: A data scientist is responsible for identifying data sources, preprocessing data, building predictive models, and analyzing data systems for optimization.
    • Skills Required: Data scientists possess skills in handling vast data, programming in Python and SQL, proficiency in statistics, probability, calculus, and linear algebra, and good communication and data visualization abilities.
    • Average Annual Salary of Data Scientist: The highest salary of data scientists can go beyond USD 200,000 if you have the required skills. On average, a data scientist can make $126,694 per year. Generally, the range is $99,000 to $164,000.

    3. Data Modeler

    Data modelling
    ScyllaDB

    Data modelers are professionals who translate business requirements into data models with data architects for computer systems to utilize complex data.

    • Responsibilities: Responsibilities of data modelers include validating data models, evaluating existing systems, ensuring data consistency, and optimizing metadata.
    • Skills Required: Data modelers must be proficient in SQL, metadata management, data modeling, interpersonal communication, and statistical analysis.
    • Average Annual Salary of Data Modeler: A data modeler can earn $126,811 annually. The salary may go as high as $160,000 with experience and skills.

    4. Big Data Engineer

    Big data engineers focus on the infrastructure for collecting and organizing vast amounts of data, building data pipelines, and designing data infrastructures. They manage data storage and the ETL process.

    • Responsibilities: Big data engineers build data pipelines, design and manage data infrastructures such as big data frameworks and databases, handle data storage, and work on the ETL process.
    • Skills Required: Big data engineers have expertise in programming languages like Python, SQL, Java, and C++, automation and scripting, ETL tools and data APIs, machine learning algorithms, etc.
    • Average Annual Salary of Big Data Engineer: A big data engineer makes around $120,269 per year. The standard salary range, however, is $95,000 to $154,000.

    5. AI Engineer

    One of the highest paying data science jobs. Artificial Intelligence (AI) engineering involves developing systems and machines that mimic human cognitive functions to solve complex problems.

    • Responsibilities: The roles of AI engineers comprise testing, deploying models, automating infrastructure, and evaluating algorithm performance.
    • Skills Required: Skills necessary for AI engineers are programming languages, statistics, deep learning, natural language processing, and problem-solving with communication skills.
    • Average Annual Salary of an AI Engineer: An experienced AI engineer can earn as much as $168,000. However, on average, they make $128,280 annually.

    6. Machine Learning Engineer

    Machine Learning Engineer
    Medium

    A Machine Learning (ML) engineer designs self-running software using data to automate predictive models and enable machines to work independently. They bridge the gap between data and software.

    • Responsibilities: ML engineers typically perform these functions:
      • Designing and implementing ML systems and algorithms
      • Verifying data quality and analyzing model performance
      • Collaborating with stakeholders to determine ML objectives and solve complex data problems.
    • Skills Required: Machine learning engineers possess skills in programming languages like Python, Java, SQL, R, and expertise in artificial intelligence, deep learning, statistics, and mathematics. Additionally, they possess strong communication skills.
    • Average Annual Salary of Machine Learning Engineer: A machine learning engineer can earn over $132,910 on average per year. The salary may go as high as $171,000 with experience.

    7. Enterprise Architect

    If you are looking for a data scientist highest salary job, it is of an enterprise architect. An enterprise architect manages an organization's networks and services, updates systems, and determines optimal products and services for teams.

    • Responsibilities: Enterprise architects are responsible for standardizing and organizing a company’s IT infrastructure, creating a map of IT assets and business processes, updating legacy systems, advising management on information integration strategies, and ensuring that an enterprise architecture aligns with its goals.
    • Skills Required: Enterprise architects require project management capabilities, an understanding of business models, strong knowledge of IT processes, strong leadership skills, clear written and verbal communication, and analytical thinking and problem-solving skills.
    • Average Annual Salary of Enterprise Architect: The salary of an enterprise architect is as significant as their role. They earn approximately $215,617 per year with the most proficient ones making up to $282,000!

    8. Business Intelligent Analyst

    BI analysts use data to help businesses make informed decisions, collaborating with teams to analyze data and create financial and market reports.

    • Responsibilities: BI analysts are responsible for studying industry trends, analyzing company data to identify business strategy trends, developing action plans, and preparing reports.
    • Skills Required: Business intelligence analysts need skills in data preparation, mining and visualization and statistical and descriptive analysis, and business modeling.
    • Average Annual Salary of Business Intelligent Analyst: A business intelligence analyst earns $87,646 annually, on average. However, with appropriate skills, it may go as high as $108,000.

    9. Database Manager

    Database managers are different from database administrators, responsible for managing database results and performance and ensuring data security.

    • Responsibilities: Database managers are accountable for maintaining the safety and security of an organization's databases. They supervise development teams and administrators, optimize database tools, and monitor performance by conducting diagnostic tests, implementing improvements, and testing for bugs and security flaws.
    • Skills Required: Database managers must possess expertise in database technologies, leadership, strong communication, and analytical problem-solving skills, along with attention to detail.
    • Average Annual Salary of Database Manager: A database manager makes approximately $80,949 per year.

    10. NLP Engineer

    An NLP (Natural Language Processing) Engineer is a professional who specializes in developing algorithms and applications that allow computers to understand and interpret human language.

    • Responsibilities
      • Create and test NLP systems
      • Choose algorithms for NLP tasks
      • Select appropriate datasets
      • Identify text representations for language features
    • Skills Required: NLP engineers need skills such as Python, Java, and R programming, data modeling, semantic extraction, classification algorithms, problem-solving, and communication.
    • Average Annual Salary: NLP engineer is one of the best paying data science job. On average, an NLP engineer makes $137,757.

    11. Data Analyst

    A data analyst is a professional who analyzes and interprets complex data to inform business decisions. Data analysts identify patterns, relationships, and trends in data to inform business decisions using data mining, organization, visualization, and reporting.

    • Responsibilities: Data analysts are responsible for mining data from various sources, cleaning data to identify insights and trends, and presenting the information through data visualization techniques to stakeholders.
    • Skills Required: Skills required for a data analyst include proficiency in programming languages like SQL, Python, and R, familiarity with data analytics tools, data mining and cleaning, data warehousing, data visualization, and strong analytical and communication skills.
    • Average Salary of Data Analyst: As data analysis has become a little saturated, budding analyst can expect an average annual salary of $70,210.

    12. Database Developer

    A database developer is a professional who designs, implements, and maintains computer databases.

    • Responsibilities: They are responsible for creating and managing the data structures that enable organizations to store, retrieve, and analyze large amounts of data efficiently.
    • Skills Required: Database developer includes expertise in current database processes, familiarity with SQL, data modeling, schema creation, BTL, and BI tools, and knowledge of NoSQL databases.
    • Average Salary of Database Developer: Database developers can earn up to $86,864 annually.

    Top Companies Hiring for Data Science Roles in the World

    There are several top companies hiring for data science roles around the world, including tech giants like Google, Amazon, and Microsoft. These companies are looking for talented data scientists to help them make sense of large amounts of data and develop predictive models to inform business decisions. Explore opportunities for the highest paying jobs in Data Science with these industry leaders. 

    Company

    Job Roles

    Highest Annual Salary

    Amazon

    Data Scientist

    USD 350,000/ yr

    Intel

    Big Data Engineer

    USD 220,000/ yr

    IBM

    Data Scientist

    USD 230,000/ yr

    Uber

    Data Scientist

    USD 250,000/ yr

    Microsoft

    Data Scientist

    USD 325,000/ yr

    Google

    Machine Learning Engineer

    USD 285,000/ yr

    Facebook

    Data Scientist

    USD 275,000/ yr

    Apple

    Data Scientist

    USD 260,000/ yr

    Airbnb

    Data Scientist

    USD 240,000/ yr

    Tesla

    Machine Learning Engineer

    USD 190,000/ yr

    PayPal

    Data Scientist

    USD 160,000/ yr

    Yelp

    Data Scientist

    USD 155,000/ yr

    Lyft

    Data Scientist

    USD 175,000/ yr

    Square

    Data Scientist

    USD 150,000/ yr

    LinkedIn

    Data Scientist

    USD 200,000/ yr

    Oracle

    Data Scientist

    USD 170,000/ yr

    Twitter

    Data Scientist

    USD 180,000/ yr

    Nvidia

    Deep Learning Engineer

    USD 165,000/ yr

    Top Industries Hiring Data Science based Job Roles

    The demand for data science professionals is growing rapidly in various industries worldwide, offering competitive salaries ranging from $70,000 to $150,000. Top recruiters include Amazon, Google, Microsoft, and industries like finance, healthcare, and e-commerce.

    Given below are some top industries offering the highest paying data science jobs:

    Industry

    Roles

    Salary Range (USD)

    Technology

    Data Scientist, Data Analyst, Data Engineer

    $70,000 - 200,000+

    Finance and Banking

    Quantitative Analyst, Risk Analyst, Data Analyst

    $70,000 - 130,000+

    Healthcare

    Clinical Data Analyst, Health Data Analyst

    $65,000 - 120,000+

    E-commerce and Retail

    Data Scientist, Marketing Analyst, Business Analyst

    $60,000 - 200,000+

    Telecommunications

    Network Data Analyst, Business Intelligence Analyst

    $70,000 - 180,000+

    Energy and Utilities

    Energy Data Analyst, Power Systems Engineer

    $70,000 - 150,000+

    Education

    Data Analyst, Research Analyst

    $50,000 - 120,000+

    Government and Defence

    Intelligence Analyst, Cybersecurity Analyst

    $60,000 - 200,000+

    If you want to land the highest paying data science job, then go for the top Data Science Bootcamps program and become a sought-after data scientist.

    Top Cities Paying High Salary for Data Science Job Roles

    Given below are some top cities in the top nations offering the high paying jobs in data science:

    A. United States

    New York City

    USD 130,706/ yr

    Chicago, IL

    USD 134,303/ yr

    Los Angeles, CA

    USD 126,169/ yr

    San Francisco, CA

    USD 142,676/ yr

    B. India

    Bengaluru

    USD 24,488.38/ yr

    Hyderabad

    USD 14,233.87/ yr

    Mumbai

    USD 13,762.47/ yr

    Chennai

    USD 13,786.96/ yr

    C. United Kingdom

    London

    USD 78,296.02/ yr

    Northern Ireland

    USD 42,897.57/ yr

    Wales

    USD 45,520.23/ yr

    Bristol

    USD 63,237.15/ yr

    D. Singapore

    Singapore

    USD 163,307.69/ yr

    Jurong East

    USD 86,027.67/ yr

    Hougang

    USD 80,409.46/ yr

    Outram

    USD 103,184.91/ yr

    How to Boost Data Scientist Salary?

    If you're looking to boost your salary as a data scientist, here are a few tips:

    1. Demonstrate Expertise: Showcase your knowledge and skills in data science, including programming languages and machine learning techniques, to make yourself more valuable to employers.
    2. Complete Projects Efficiently: Be proactive and efficient in completing projects to increase your productivity and value to the organization.
    3. Add Value to the Business: Focus on creating and implementing data-driven solutions to help the company achieve its goals and objectives, which can lead to increased recognition and compensation.
    4. Consider Professional Development Opportunities: Keep yourself updated with the latest trends and technologies in data science and pursue additional training or certification programs to enhance your skills and vie for the Highest Paying Data Science Jobs. 

    Role and Responsibilities of a Data Scientist

    If you think that data scientists only crunch numbers and sift through spreadsheets all day, you might want to rethink. Data scientists have a wide range of roles and responsibilities that go beyond just analyzing data. Those include:

    • Extracting usable data from valuable data sources through data mining techniques
    • Using machine learning tools to optimize classifiers and select features that aid in data analysis
    • Preprocessing both structured and unstructured data to prepare it for analysis
    • Improving data collection procedures to ensure all relevant information is included for developing analytical systems
    • Processing, cleansing, and validating the integrity of data to be used in the analysis
    • Analyzing large amounts of information to identify patterns and solutions
    • Developing prediction systems and machine learning algorithms to support data-driven decision-making
    • Presenting results clearly and understandably manner to stakeholders
    • Proposing innovative solutions and strategies to tackle business challenges
    • Collaborating with Business and IT teams to ensure alignment and integration of data-driven solutions with broader business goals and objectives

    Why are Data Science Professionals Paid So Much?

    Couldn't wonder why data scientists get such high pay? Well, there's more than one reason for that:

    • Firstly, there is a massive shortage of skilled data scientists, which has created a competitive market for their services.
    • Data scientists play a crucial role in helping businesses make informed decisions through data analysis.
    • The work of a data scientist is also highly complex and requires specialized skills and knowledge. This level of expertise commands a premium salary.
    • Finally, the explosion of data in recent years has created a high demand for data scientists.

    In a nutshell, data scientists are paid so much because they play a vital role in helping businesses thrive in today's data-driven world. If you have the right skills and expertise, there has never been a better time to pursue a career in data science. Applied Data Science with Python will support you in creating robust predictive models with advanced statistics and learning Python.

    Tools to Find Data Science Jobs

    There are several online job search platforms to help data scientists find job opportunities. These tools can help data scientists search for job openings, create job alerts, and enhancing prospects for landing the highest paying data scientist jobs.

    We have enlisted the tools and portals below:

    • LinkedIn
    • ai-jobs.net
    • Data Elixir
    • Indeed
    • Glassdoor
    • Kaggle
    • DataJobs
    • Icrunchdata
    • Job Search Digest
    • KDNuggets
    • StatsJobs
    • Upwork
    • USAJOBS
    • ZipRecruiter

    Takeaway

    We have discussed the top 12 highest paying data science jobs with salaries. It is clear that data science is an exciting and highly rewarding field with many lucrative opportunities for those with the right skills and mindset. According to Glassdoor, the average annual salary for a data scientist in the United States is over USD 110,000, with top earners making well over USD 150,000. Besides the data scientist highest salary, data science professionals enjoy a diverse range of job opportunities across many industries, from tech and finance to healthcare and retail. As more businesses recognize the value of data-driven insights, the demand for skilled data scientists is only expected to increase in the coming years.

    Frequently Asked Questions (FAQs)

    1What is the highest salary for a Data Scientist in the world?

    According to Glassdoor, the highest salary of data scientists is USD 206,000.

    2How much does a Data Scientist in the United States make?

    In the United States, a data scientist earns an average pay of USD 126,683.

    3Is data science high-paying?

    Yes, the data scientist job is one of the highest-paying jobs recently with an average annual pay ranging from USD 99,000 to USD 164,000.

    4How many hours will I work as a data scientist?

    It totally depends on your employer. You may have to work 40 hours per week or more.

    5How can data scientists get a salary increase?

    They can upgrade their skill, gain more experience and relevant certifications, complete projects timely, add value to the business, and consider professional development opportunities.

    Profile

    Ashish Gulati

    Data Science Expert

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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