Job Functions in Data Science and Machine Learning

by Marah Ramadan

April 8, 2021

2769

• data
• data professions
• Data Science
• Jobs
• Machine Learning
• ML

Except some companies don’t have specialized data professionals , but in fact the company tends to hire people with very strong data science skills just as software engineers!

So the names may vary, but there is specific functions have to be the stable functions in data professions, and jobs will blend these.
We actually, Invent Data Professions as we go.
So You have to keep an open mind while you’re looking for a job in data science and machine learning .

We actually, Invent Data Professions as we go.

The Job Functions of Data Professionals will include:

1. Machine Learning Reasearch :
   
   ML researcher as the name suggests, Performing the fundamental research to invent new algorithms and come up with good models to solve problems.
   So the rest of the team can applied these researches into useful products.
   
   Skills needed for Machine Learning Researcher:
   • Scientific Method.
   • Critical thinking.
   • Data collection.
   • High level of advanced math.
   • Enough engineering to prove some ideas.
   
   
2. Machine Learning Engineer :
   
   It’s about understanding the systemic interrelationships in order to implement machine learning algorithms and integrate the resulting models into a working system.
   The final output has to be a “ working software ”. This is why it’s more towards engineering than other data professions.
   The results that are produced by the machines will affect how the product behave, and produce successful end-to-end experiences.
   
   
   Skills needed for Machine Learning Engineer :
   • Computer science fundamentals.
   • Applying Machine Learning Algorithms .
   • Strong Software Engineering base.
   • Probability and Statistics.
   
   
3. Data Scientist :
   
   The data is full of insights and stories and the Data Scientist is the storyteller who share these stories with other. Data Science is the art of storytelling!
   They analyze large sets of data in order to answer questions.
   Thier role combines computer science, statistics/applied mathematics, and a good communication skill.
   
   
   Skills needed for Data Scientist :
   • Intellectual curiosity.
   • High level of statistics.
   • Familiar with database querying language like SQL.
   • Familiar with with statistical programming language like python .
   • Enough Programming skill to prove or disapprove the stories.
   
   
   
4. Program Manager :
   
   They know how to develop a business case for an AI application, and how and when to use AI in a product. One of the main jobs for a Program manager is to determine when and when not to use machine learning as a solution to real-world problems.
   To avoid wasting money by trying to apply machine learning to problems it can’t solve.
   
   
   Skills needed for Program Manager :
   • Conceptual understanding of Machine Learning Algorithms .
   • Strong Software Design skills.
   • Measure post-deployment impact .
   • Communicate and communicate again.
   
   

Whatever the profession that you will work in the field of Data Professions , you’re going to be working at the cutting edge of technology and business.

Artificial Intelligence and Data are making the world a better place.
So no matter which direction you pick, you really can’t go wrong!

• data
• data professions
• Data Science
• Jobs
• Machine Learning
• ML