Top Tech Companies are Hiring These Data Science Roles

Here are some of the top data science roles that tech companies are hiring for in 2023:

Data scientists use their skills in statistics, mathematics, and computer science to collect, clean, analyze, and visualize data. They work on a variety of projects, such as developing new machine learning models, predicting customer behavior, and improving product performance.

Data Scientist

Machine learning engineers build and deploy machine learning models to solve real-world problems. They work closely with data scientists and other engineers to develop and implement machine learning solutions.

Machine Learning Engineer

Data engineers build and maintain the systems and infrastructure that data scientists need to do their work. They also develop and implement data pipelines to collect, clean, and store data.

Data Engineer

Data analysts collect, clean, and analyze data to identify trends and patterns. They use their findings to help businesses make better decisions about their products, services, and marketing strategies.

Data Analyst

Research scientists conduct research on new data science techniques and algorithms. They also work on developing new machine learning models and applications.

Research Scientist

Business intelligence analysts use data to help businesses make better decisions. They collect, clean, analyze, and visualize data to identify trends and patterns. They also develop reports and dashboards to communicate their findings to business stakeholders.

Business Intelligence Analyst

Data visualization engineers create and maintain data visualizations, such as charts, graphs, and maps. They use their skills to communicate complex data in a clear and concise way.

Data Visualization Engineer

Natural language processing engineers develop and implement systems that can understand and process human language. They work on a variety of projects, such as developing chatbots, machine translation systems, and text analysis tools.

Natural Language Processing Engineer

Computer vision engineers develop and implement systems that can understand and interpret visual data. They work on a variety of projects, such as developing self-driving cars, facial recognition systems, and medical imaging systems.

Computer Vision Engineer

Data product managers are responsible for developing and launching new data products. They work with data scientists, engineers, and other stakeholders to identify customer needs and develop products that meet those needs.

Data Product Manager

Data science managers are responsible for managing teams of data scientists. They oversee the work of their teams and ensure that they are meeting their goals.

Data Science Manager

The head of data science is the most senior data science role in a company. They are responsible for setting the company's data science strategy and leading the data science team.

Head of Data Science

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