Top 12 Emerging Data Tech Roles in Data Science

Data science is a dynamic and expanding field, providing endless opportunities for learning, skill development, and career advancement as technology evolves.??

With the Bureau of Labor Statistics projecting an 35.2% increase in data science employment from 2022 to 2032 and approximately 59,400 job openings expected, it's a standout career choice for the decade.??

Below, we explore various data tech roles you can pursue in data science. Read on!?

Top 12 In-Demand Data Tech Roles in Data Science?

Here are the top data science career opportunities:?

1. Data Scientist?
2. AI Ethics Officer?
3. Data Analyst?
4. Data Architect?
5. Data Engineer?
6. Database Administrator?
7. Machine Learning Engineer?
8. Deep Learning Engineer?
9. Quantitative Analyst (Quant)?
10. Data Visualization Specialist?
11. Business Intelligence Analyst?
12. Statistician?

1. Data Scientist?

Data scientists tackle business challenges by analyzing and processing data to provide actionable insights. They perform predictive analysis, identify trends, and offer solutions to improve business decisions.?

Responsibilities:?

• Identify data collection sources?

• Process, cleanse, and integrate data?

• Automate data collection and management?

• Use data science techniques to improve processes?

• Analyze data to forecast trends and provide recommendations?

• Collaborate with business, engineering, and product teams?

Salary: USD 158,580 per year??

How to Get Into this Role: To become a data scientist, master skills in R, Python, SQL, and other related technologies. A higher degree in mathematics, statistics, or computer science can also be beneficial.?

2. AI Ethics Officer?

AI Ethics Officers ensure responsible AI development by establishing ethical guidelines, overseeing AI projects, and ensuring that algorithms are fair and unbiased.?

Responsibilities:?

• Develop ethical AI policies?

• Ensure compliance with data privacy regulations?

• Maintain transparency in AI decision-making?

• Mitigate algorithmic bias?

• Foster ethical awareness within the organization?

Salary: USD 122,000 USD per year?

How to Get Into this Role: Deep understanding of ethical principles, technical knowledge of AI systems, and strong communication skills are essential.?

3. Data Analyst?

Data analyst career visualize, process, and query large datasets to extract actionable insights and optimize business operations.?

Responsibilities:?

• Extract data from primary and secondary sources?

• Develop and maintain databases?

• Perform data analysis and create reports?

• Forecast trends and collaborate with teams to improve data processes?

Salary: USD 108,415 per year?

How to Get Into this Role: Proficiency in SQL, R, SAS, and Python is crucial. Certification in these technologies can enhance job prospects.?

4. Data Architect?

?Data architects design and maintain data infrastructures that support data-driven decision-making. They focus on data integrity, governance, and scalability.?

Responsibilities:?

• Design robust data models?

• Implement data governance and security measures?

• Develop strategies for database growth and scalability?

• Collaborate with IT teams to integrate new technologies?

Salary: USD 136,482 per year.?

How to Get Into this Role: Advanced knowledge of data modeling, big data technologies, and cloud platforms like AWS or Azure is crucial.?

5. Data Engineer?

Data engineers build and maintain scalable data ecosystems, enabling data scientists to perform advanced analysis. They also update systems to improve efficiency.?

Responsibilities:?

• Design and maintain data management systems?

• Manage data collection and integration?

• Conduct research to uncover patterns and trends?

• Collaborate with teams to achieve organizational goals?

Salary: USD 131,640 per year?

How to Get Into this Role: Gain hands-on experience with technologies like Hive, NoSQL, R, and ETL tools. Proficiency in programming languages like Java, C++, and Python is also essential.?

6. Database Administrator (DBA)?

DBAs manage and secure an organization’s databases, ensuring their efficient operation. They focus on performance, data access, and regulatory compliance.?

Responsibilities:?

• Design and implement database solutions?

• Manage data storage and retrieval?

• Optimize performance through database tuning?

• Ensure compliance with data regulations?

Salary: USD 116,909 per year?

How to Get Into this Role: Proficiency in SQL, RDBMS, and familiarity with databases like Oracle or MySQL are essential. Strong problem-solving skills are also important.?

7. Machine Learning Engineer?

Machine learning engineers design and develop ML systems, perform A/B testing, and implement algorithms like classification and clustering.?

Responsibilities:?

• Develop ML systems and algorithms?

• Test and optimize ML models?

• Collaborate with teams to implement ML solutions?

• Continuously improve ML frameworks and libraries?

Salary: USD 165,091 per year???

How to Get Into this Role: Mastery of programming languages like Python and Java, along with a strong foundation in statistics and mathematics, is essential.?

8. Deep Learning Engineer?

Deep Learning Engineers specialize in creating and optimizing deep neural networks, driving advanced AI systems that mimic human decision-making.?

Responsibilities:?

• Build and optimize deep learning models?

• Collaborate with data scientists and engineers to deploy models?

• Stay updated with the latest deep learning technologies?

Salary: USD 154,816 per year?

How to Get Into this Role: Proficiency in Python, deep learning frameworks like TensorFlow, and a strong understanding of neural networks are key.?

9. Quantitative Analyst (Quant)?

Quants use mathematical models to optimize investment portfolios and make data-driven decisions in financial markets.?

Key Skills: Strong background in mathematics, statistics, and programming (Python, R, MATLAB).?

Salary: USD 169,729 per year?

How to Get Into this Role: A degree in mathematics, statistics, or financial engineering is typically required. Advanced roles may require a master's degree.?

10. Data Visualization Specialist?

Data Visualization Specialists create compelling visuals from complex data, helping stakeholders quickly grasp trends and insights.?

Key Skills: Expertise in Tableau, Power BI, storytelling, and UX principles.?

Salary: USD 105,224 per year?

How to Get Into this Role: A degree in computer science, statistics, or graphic design, combined with experience in visualization tools, is recommended.?

| Also Read: Power BI for Data Visualization

11. Business Intelligence (BI) Analyst?

BI Analysts connect data with decision-making by analyzing information and creating dashboards, reports, and visualizations.?

Key Skills: Proficiency in BI tools like Tableau, SQL, and Excel.?

Salary: USD 95,979 per year?

How to Get Into this Role: A degree in data science, mathematics, or business intelligence is common, with a strong foundation in SQL and BI tools.?

12. Statistician?

Statisticians analyze data, predict trends, and design data collection processes to support decision-making in various fields.?

Key Skills: Strong understanding of statistical theories, data mining, and machine learning technologies.?

Salary: USD 123,251 per year???

How to Get Into this Role: A passion for logic and proficiency in statistical software like SQL and data mining tools are essential.?

Conclusion?

A career in data science offers a blend of job security, growth potential, and the opportunity to make a significant impact across various industries. By embracing the evolving nature of the field and continually honing your skills by taking up industry-acclaimed data science certifications like IBM and DASCA, you can position yourself for success in this exciting and lucrative career path.??

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