Top 7 Web3 Data Science Careers You Should Consider

Top 7 Web3 Data Science Careers You Should Consider

Data science has been a hot topic lately. And why not? It has been creating a buzz as a career since 2022. You would think the field must have become saturated in the last few years. But that’s not true. Data science jobs have grown by nearly 46% over this time. Despite its popularity, companies are still looking for qualified and full-skilled professionals to hire as Web3 data scientists.

This growth can be attributed to data scientists’ no longer being limited to tech industries. These days, data scientists are using data to draw insights and solve real-world problems in all industries, including supply chain, transport, government, retail, entertainment, and finance. Data scientists prepare and analyze data to uncover patterns that facilitate organizational decision-making.

Anyone with a passion for computing, mathematics, and data can excel in a data science career. In this article, we have rounded up the top seven Web3 data science careers that you should consider. We list the average salary for each career along with the required skills to make you stand out.

Check out: Web3 Data Scientist Career Guide for Beginners

Data Analyst

Average Salary: $80,000

The Role: Most data scientists start their careers as data analysts. Their job involves collecting, cleaning, and preparing data for analysis. They also use visualization tools to interpret trends and patterns and identify opportunities for optimization and improvement. In the Web3 space, you’ll help organizations understand user behavior, optimize processes, and improve performance in decentralized technology.

Required Skills: Data analysts work with raw data, so you must have strong statistical instincts. The job also involves collaborating with cross-functional teams for the proper alignment of data-driven solutions. So good interpersonal skills are also a plus. You should also have in-depth knowledge of Microsoft Excel, SQL, and Python.

Data Engineer

Average Salary: $129,000

The Role: Data engineers design and maintain data pipelines, databases, and infrastructure for efficient data processing. The career is challenging because it involves working with unstructured data that is full of problems. It’s about working with data scientists and analysts to collect, store, and access data in a timely and reliable manner. You’ll manage the flow of data within decentralized platforms.

Required Skills: This data science job requires strong collaboration and communication skills. You’ll work with software engineers and DevOps teams to optimize data workflows. To set up data infrastructure, you must also be proficient in programming languages, such as Python, advanced SQL, and NoSQL.

Data Scientist

Average Salary: $123,000

The Role: This is a senior data science role. A Web3 data scientist organizes and analyzes the large amounts of data decentralized technologies generate. They find patterns and gain insights to help drive Web3 projects. Their role extends from analyzing big data to finding solutions for any problems that a Web3 company may encounter. Although the responsibilities may sound like those of a data analyst, in reality, the role of a Web3 data scientist is much more technical.

Skills Required: An analytical and statistical mind is essential to design and produce predictive data models. 

Check out: How to Get an Entry-Level Web3 Data Scientist Job in 2024

Data Architect

Average Salary: $137,000

The Role: A data architect designs analytics applications for various platforms and ensures that the data solutions perform as required. They closely work with data engineers to understand business strategy, determine what data needs to be collected, and create a whole new data system for each aspect of the strategy. It’s about designing databases, data warehouses, and data lakes to ensure efficient data storage and retrieval. You’ll define data governance policies and ensure compliance with data privacy regulations, which is also a part of their job.

Required Skills: To excel in this role, you need technical proficiency in database design and management. You should also have strong problem-solving and analytical skills to address complex data challenges in the Web3 space.

Business Intelligence Developer

Average Salary: $105,300

The Role: Strategists at heart and analysts by mind, business intelligence developers collect and analyze data to help Web3 businesses make informed decisions. They make complex information easy to understand for stakeholders, such as executives, managers, and users. For this purpose, they rely on tools like SQL, Tableau, and Power BI. They might even develop custom applications to facilitate understanding if required.

Skills Required: For this role, you need to learn data science programming languages, such as Microsoft SQL, C#, and JavaScript. In addition, statistical analysis, data visualization, data preparation, data mining, and data reporting are also essential skills.

Machine Learning Engineer

Average Salary: $150,300

The Role: A machine learning engineer designs and implements machine learning algorithms and models. In simple terms, they develop AI systems with self-learning capability. This role has three aspects: data science, infrastructure, and software development. The data science side deals with machine learning statistics and frameworks that form the system’s base. The next step is to determine the infrastructure and deployment of the data model. Lastly, they write clean and maintainable codes for the ML software they have developed.

Skills Required: The skills required for this role are strong programming fundamentals. Aspirants should also be experts in quantitative analysis methods, data structures, software engineering, and data pipelines.

Data Science Manager

Average Salary: $156,400

The Role: This is a leadership role overseeing teams of Web3 data scientists and analysts. A data science manager defines project objectives, allocates resources, and oversees the execution of data science initiatives. In this position, you’ll collaborate with other departments to identify opportunities for data-driven decision-making and drive innovation within the organization.

Required Skills: You need strong leadership skills to foster a collaborative and supportive team environment. You also need a deep understanding of data science methodologies to drive successful data-driven initiatives.

Final Thoughts

As you can see, data science careers offer unlimited opportunities. Above, we have listed the top career options that are currently in demand. You can use this information to determine your strengths and embark on a successful data science career.

Finding Web3 jobs in the competitive web3 space can be stress-free with, as top Web3 and crypto companies trust the platform for hiring the best talent. Start your job search today and find a position that matches your skillset.