Top 9 data science jobs & who's hiring

Wondering what the world of data science is all about? This field of study combines statistics, scientific computing, algorithms, and domain expertise to extract insights from large datasets in order to improve and optimize things like product development, marketing strategies, and business operations.

Data science is one of the fastest-growing fields in the world today, and for good reason: it has tremendous potential to solve some of the world's most pressing scientific and business challenges. And with the rise of big data, there is a high demand for data science jobs, making it an ideal career choice for those interested in analytics, machine learning, and data engineering.

In this guide, we'll explore the top 9 data scientist jobs and who's hiring. We’ll also discuss the average salary and types of experience needed for each role.

1. Product manager

Average salary: $111, 729

A product manager is an influential role in the data science field, responsible for overseeing both the development and marketing of products and services. They typically analyze data, identify business opportunities and plan initiatives, as well as collaborate with other departments concerning the product launch process.

The necessary hard skills for a role as a product manager include product

management, product strategy, data analysis, and advanced analytics. Soft skills such as analytical skills, communication skills, and creativity are also essential.

In terms of education, a product manager must have at least a bachelor's degree in a related field, such as business, information technology, or marketing.

2. Software engineer

Average Salary: $100,260

Although software engineers are typically focused on developing applications, they may also contribute to data mining and analytics projects. This role requires a solid understanding of computer programming and software development principles, as well as the ability to design algorithms and develop automated processes.

The necessary hard skills for a software engineer include coding languages such as Java, Python, and/or C++, database technologies (e.g., MySQL), data structures and algorithms, software engineering fundamentals, and project management. Soft skills such as problem-solving, communication, and collaboration are also important.

To pursue a career in software engineering, you need a bachelor's degree in computer science, electrical engineering, or computer engineering Entry-level software engineer roles usually only require around one year of experience. However, jobs meant for mid-career and experienced candidates may require anywhere between 1 to 3+ years or 3 to 5+ years of relevant experience.

3. Data scientist

Average Salary: $106,104

These professionals combine statistics, scientific computing, algorithms, and domain expertise to extract insights from large datasets.

The necessary hard skills for a data scientist include programming languages such as Python and R, machine learning algorithms, data analysis and visualization, and using database management systems. Additionally, soft skills such as logical thinking, math skills, and attention to detail are also essential.

To pursue a career as a data scientist, you will need at least a bachelor's degree in computer science, mathematics, statistics, or a related field.

Entry-level positions typically require less than one year of experience. Similar to software engineering, mid-level positions may require one to three years of experience, and senior data scientist positions may require three to five years of experience.

4. Research scientist

Average Salary: $89,998

A lot of data scientists source their information/data from research scientists, who conduct experiments and analyze data to provide valuable insights into various topics. They specialize in areas such as medical research, pharmacology, and geoscience, and they have the skills to collect, analyze, and present data effectively.

The necessary hard skills for a research scientist include expertise in a specific field (e.g., machine learning, artificial intelligence, or robotics), statistical analysis tools such as SPSS and SAS, and programming languages such as Python and R.

Soft skills such as problem-solving, analytical thinking, and communication are also essential.

A research scientist must have at least a bachelor's degree in chemistry, biology, biochemistry, biophysics, or molecular biology.

For entry-level positions, experience of less than one year is usually required. Senior research scientists usually have three to five years of experience.

5. Data science programmer

Average salary: $147,758

This is a highly sought-after role in the data science field. These professionals are responsible for designing and building data-driven applications.

To land this job, you’ll need a bachelor's degree in computer science, engineering, mathematics, or a related field. Data science programmers need strong programming skills to write efficient, scalable, and maintainable code. They also need soft skills like problem-solving and communication to work with stakeholders and explain complex technical concepts.

6. Data analyst

Average Salary: $95,742

Often confused with data science, data analysts are responsible for understanding and analyzing the meaning of extracted data. While data scientists find correlations between datasets, data analysts evaluate the data and often draw conclusions.

The necessary hard skills for a data analyst include advanced analytical and statistical analysis techniques, data analytics, data management, programming languages such as Python or R, and visualization tools such as Microsoft Excel or Power BI. You’ll also need a minimum education of a bachelor's degree in statistics, economics, business, computer science, or a related field.

Entry-level positions typically require less than one year of experience, while

mid-level and senior data analyst roles may require one to five years of experience.

7. Data engineer

Average salary: $129,194

Things get a bit more technical when it comes to data engineering. These professionals design, build, and maintain large-scale data-processing systems, such as databases, warehouses, and applications.

The required hard skills for a data engineer include programming languages such as Java, Python, and SQL. And to work as a data engineer, a minimum requirement is a bachelor's degree in a relevant field such as computer science, software engineering, or information technology.

Many data engineers start off as software engineers or business intelligence analysts. After around one to three years, an entry-level data engineer can move up to mid-level, while senior roles require three to five years of experience.

8. Machine learning engineer

Average salary: $149,750

Within the last few years, artificial intelligence has taken a great leap forward, primarily due to the development of machine learning algorithms. Machine learning is all about teaching computers to learn from data and make decisions without being explicitly programmed to do so.

As a machine engineer, your main task will be to write code to tweak and optimize default implementations, as well as create new machine learning models and algorithms. As such, some hard skills for a machine learning engineer include expertise in programming languages such as Python, C++, Java, and Scala. Soft skills such as problem-solving abilities and a detailed understanding of analytics and machine learning are also essential.

To become a machine learning engineer, you need to have at least a bachelor's degree in computer science, mathematics, statistics, or a related subject. For an entry-level machine learning engineer role, one to two years of experience is usually required. For senior-level roles, at least five years of experience is usually expected.

9. Data visualization specialist

Average salary: $96,838

Data visualization specialists simplify complicated statistics and data in a way that makes it easier for non-specialized audiences to understand. Think of it as a form of storytelling with data, and it’s an important part of the data science process.

In terms of hard skills required for this job, a data visualization specialist should have experience in designing and developing visual reports and dynamic dashboards on platforms such as Tableau and PowerBI. Strong verbal and written communication skills in English are also crucial soft skills.

A bachelor’s degree in computer science or a related field is the minimum educational requirement for this job. For entry-level roles like data visualization designers, one to three years of experience is necessary. Mid-level roles like data visualization analysts need three to five years of experience, and senior roles — like that of a data visualization engineer — need 5-7 years of experience.

Who’s hiring data scientists on Handshake?

Your data science job awaits

Major companies (such as Google, Amazon, Microsoft, and IBM) and startups alike need data scientists to help them analyze large amounts of data and make informed decisions. With the demand for data scientists continuing to grow, there are more opportunities than ever for those with the skills and experience in this field. Whether you’re looking for full-time, part-time, on-site, or remote work, there’s a data science job to suit your needs.

With Handshake, you can easily find data science jobs from top employers in the industry. Sign up now (https://joinhandshake.com/) to receive tailored job alerts and start your journey toward a successful career in data science.

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Top 9 data science jobs & who's hiring