What is a data scientist's career path?

• RP

  Ruhi Parveen

  10/8/24, 9:26 AM

  A data scientist's career path typically begins with a strong educational background in mathematics, statistics, or computer science. Entry-level roles, such as data analyst or junior data scientist, often involve data cleaning, analysis, and visualization. As they gain experience, professionals can advance to mid-level positions, focusing on machine learning and predictive modeling. Senior roles, like data science manager or lead data scientist, involve strategic decision-making and team leadership.
  
  For more information visit here:    Best Data Science Training in Delhi

   

   

  0 likes 0 likes Liked Like

  ---

  5
  Posts

  45
  Views

  Reply

  ---

• 

  khushnuma khan

  10/8/24, 12:26 PM

  A data scientist's career path usually starts with a background in statistics and programming. Initially, they take on roles focused on data analysis and visualization. As they gain experience, they may advance to machine learning or analytics positions, ultimately moving into leadership roles or specialized fields like AI and data engineering.

   
  0 likes 0 likes Liked Like

  ---

• Aj

  Archi jain

  10/8/24, 12:41 PM

  Sure! Here’s a simplified career path for a data scientist in points:

  1. Education: Bachelor’s degree in a related field (e.g., statistics, computer science).
  2. Entry-Level: Start as a data analyst or junior data scientist.
  3. Mid-Level: Progress to a data scientist or machine learning engineer.
  4. Senior-Level: Advance to senior data scientist or team lead.
  5. Specialization: Choose a niche (e.g., AI, big data).
  6. Leadership: Move into managerial roles or consultancy.

   
  0 likes 0 likes Liked Like

  ---

• 

  preeti shakya

  10/8/24, 12:43 PM
   

  A data scientist's career path typically begins with a strong foundation in mathematics, statistics, and programming. Entry-level roles often include data analyst or junior data scientist positions, where they gain experience in data cleaning, analysis, and visualization. As they advance, they may become data scientists, focusing on building machine learning models and making data-driven decisions. With experience, they can move into senior roles like lead data scientist or data science manager, eventually progressing to executive positions such as Chief Data Officer (CDO).

  0 likes 0 likes Liked Like

  ---