In the December 2012 issue of HBR, the Harvard Business Review declared that no job would be more sought-after over the next decade than data scientist, which is named the sexiest job of the 21st century, by DJ Patil, the then Chief Data Scientist. Fast forward to today, the statement is still valid. For those who are planning to enter data science, we have different types of specialization today. With advancements in technology and an onslaught of data that grows by the second, data science professionals are incredibly well-positioned to find jobs in a wide range of industries with varying and challenging job duties.

1. Top 5 High Demand Data Science Jobs

2. Data Engineer
Develops, constructs, tests and maintains
data architectures. Manage large scale
databases and processing systems.
API Data Ingestion
Data Architect
Skills required
Server Management
SQL
Companies that hire

3. Data Analyst
Translate numbers into plain English. A data
analyst takes data and use it to help
companies make business decisions.
Dashboard
Skills required
Database Query VisualizationCommunication
Business Intelligence
Companies that hire

4. Statistical Modeller
Develop and implement strategy to research
and execute modeling techniques along with
technologies.
StatisticsMathematics
Predictive Modelling Model Interpretation
Skills required
Clustering
Companies that hire

5. Machine Learning Engineer
Create programs that enable machines to take actions
without being specifically directed to perform those tasks.
Focus on A.I. as the ultimate goal.
Unsupervised Learning
Data ModellingMathematics
Skills required
Statistics
Deep Learning
Supervised Learning
Companies that hire

6. Data Scientist
Combine programming, mathematics and
domain knowledge to extract insights from
data. Build predictive models to answer
business questions.
Skills required
Programming Mathematics Statistics
Machine Learning
Database Query Visualization
Domain Knowledge
Story Telling
Companies that hire