Nine Most Attractive Careers In Data Science
Data science is among the most prominent emerging careers in the 21st century. Data scientists are professionals responsible for gathering, evaluating, and interpreting large amounts of data. This career is made up of people who have acquired technical skills that enable them to solve complex analytical problems and also find ways that Data can improve service delivery and quality of life. Here are few of the most attractive careers in Data Science, brought to you by casinoclic casino en ligne.
- Data Architect and Administrators
Visualizers of the data management framework for the entire organization, data architects work closely with data engineers. They primarily work on understanding enterprise strategy and data that needs to be collected. They then create new database systems or enhance the performance of existing systems. Additionally, data architects design the flows and processes for data management and data engineers build the infrastructure. The U.S. Bureau of Labor Statistics projects up to 180,000 jobs for database administrators and architects by the year 2030.
Average Base Salary: US$121,606 per year
- Data Engineer
Data engineers are experts at accessing, and moreover, processing vast amounts of real-time data. Vital to technology-driven companies and tech departments, they interpret unformatted and unverified data. Thus, daily tasks include maintenance of high data volumes as well as creating data pipelines to make data accessible for further analysis with the data teams. Data engineers set up the infrastructure using programming languages (Python) and advanced SQL, NoSQL.
Average Base Salary: US$1,14,353 per year
- Data Analyst
Most data scientists start as data analysts and data engineers at the beginning of their careers. Data analysts work directly with raw data collected through the systems. This also means they work with various teams like marketing, sales, customer support, finance to process information. Data analysts don’t just chase the big business question to ask, they clean the data, study, and create reports using data visualization tools like Tableau and Excel to help teams develop strategies.
Average Base Salary: US $61,841 per year
- Data Scientist
Data Scientists go beyond analyzing big data to address real-world business problems. The C-Suite relies on data scientists to provide trends, patterns across data and offer actionable insights and strategies that can affect the bottom line. Their insights have a direct impact on strategic business decisions. Excellent communicator, business strategist, and even better analyst and statistician are the qualities expected from a data scientist. They can work at several big companies and for games companies like https://www.stellarspins.com/en/casino-games/.
Average Base Salary: US$1,09,257 per year
- Machine Learning Engineer
A Machine Learning Engineer is a unique combination of software engineering and data science that works with big data daily. In a large consumer-facing setup both roles work together but may have independent responsibilities. Data scientists are expected to be machine learning experts with advanced software programming skills. ML Engineers develop software, ML models, and artificial intelligence (AI) systems to drive various processes for the organization. Advancing to an ML engineer requires years of experience and expertise, so typically they are employed in senior roles.
Average Base Salary: US$1,18,948 per year
- Statisticians and Mathematicians
Prominently working in the government, healthcare, and research and development organizations, statisticians identify trends that advise decision-making and policies in organizations. Mathematicians and statisticians interpret large volumes of numerical data and design research surveys, develop mathematical models to collect data as well as report findings.
Average Base Salary: US $93,290 per year
- Business Analyst
Strategists at heart and analysts by mind, a business analyst evaluates a company’s processes and analyses industry trends and markets. Business analysts process enormous amounts of data and scout opportunities to improve business revenue and growth. Common job titles held are business intelligence (BI) developers and business consultants. Processing this data requires a BI developer to have advanced skills in BI analytic tools and programming skills.
Average Base Salary: US$93,543 per year
- Marketing Analyst
Identifying shifting consumer behaviors and examining new buying trends as well as analyzing the digital universe for a business is all the excellence of a market analyst. With most businesses selling digitally, marketing analysts access large amounts of data across various platforms and devices to create strong go-to-market strategies and evaluate marketing campaigns.
Average Base Salary: US$66,648 per year
- Clinical Data Managers
Clinical data managers unite healthcare training with mathematics, programming, computer science, and statistics. Similar to the other fields, data collection to data governance and data integrity across clinical trials and research, clinical data managers actively assimilate, analyze and predict medical industry trends.
Average Base Salary: US $75,562 per year.