Data science is one of the most popular and rewarding career options today. A data scientist’s job commands high respect and responsibility. This is an incredible career option to leave an impact on the global business landscape. As businesses are handicapped without certified data scientists; it becomes essential for them to be trusted professionals as well. Businesses yield big benefits with top-of-the-line data-driven decisions facilitated by skilled data professionals.

Beginning your way into the data science industry calls for many things. Core capabilities and specializations in data visualization, machine learning, and more can facilitate a greater career ahead. Let us understand who is a junior data scientist keen on beginning their career in the field and how to become one!

Who is a Junior Data Scientist?

A junior data scientist is an entry-level data scientist with 0-2 years of experience in the field. Being a fresher in the field shall allow massive room for you to explore your capabilities and gain meatier roles at work. You will be levied with diverse tasks including analytical projects, deploying machine learning algorithms, and statistical methods to resolve business issues.

Junior Data Scientists are involved in:

  • Data collection involves defining and executing strategies to gather relevant information
  • Data analysis involves extracting and processing information to find patterns and trends guiding the future
  • Machine learning involves the creation and deployment of core machine learning models
  • Statistical analysis includes performing statistical analysis on the large datasets obtained
  • Data visualization is a great way to assist stakeholders and business leaders to understand data and make data-driven decisions
  • Debugging and Refactoring involves testing newer ideas, debugging, refactoring existing models

Average Salary Expectations for Junior Data Scientists:

Believing the recent records, expects you to begin your career as a junior data scientist with an annual average salary package of USD 87,887. The remuneration package shall differ in the USA, UK, Germany, Australia, France, India, and others. These countries worldwide are brimming with career opportunities for fresher data scientists. A data science career driven by quality machine learning certifications and core skillsets shall reap higher benefits as far as the salary and perks are concerned. This eventually shall boost your stature on the corporate ladder.

Becoming a Junior Data Scientist- Steps Involved:

Educational Requisites:

  • Bachelor’s degree in STEM or equivalent
  • Credibly certified with top data science certifications
  • Pool of practical expertise gained at internships, public projects, and participation in popular competitions such as Kaggle
  • Expertise in programming languages such as Python, R, SQL, etc via short-term courses

Popular Data Science Projects to Work on as a Beginner:

  • Credit analysis
  • Recommendation system for retail stores
  • Fraud detection
  • Sales Forecasting
  • Sentiment analysis for product reviews
  • Bring out predictions via machine learning

Skills Requirement:

  • Enhance your technical skills by targeting mastering programming languages such as Python, Scala, C++, etc
  • Proficiency in Excel and SQL
  • Basic Statistical competency
  • Problem-solving, data evaluation, critical thinking, and other analytical skills
  • Impressive communication and presentation skills to communicate key insights to stakeholders and across team members

Common Challenges Faced at Work:

  • Poor data quality and credibility
  • Lack of technical skills
  • Incapability of providing actionable insights for stakeholders
  • Struggling with time management

Does Getting Certified Help in Becoming a Junior Data Scientist?

Getting certified is a great option to build a thriving career in data science. Popular online data science and machine learning certification courses are guided and designed to cater to the needs of budding data scientists. These offer an ‘Anytime Anywhere’ convenience option for the aspirants with heavy discounts on the cost. These offer a holistic curriculum vetted by globally famed subject matter experts and a shareable digital badge on successful completion. Some global tech giants are oozing with high demand for certified data science professionals are PricewaterhouseCoopers, Accenture, Databricks, Splunk, Teradata, Oracle, Google, and many others. these are the very companies that are keen on hiring skilled data professionals to run their businesses toward greater success with informed insightful decisions.


  • Can a non-technical professional get into data science?

Yes, indeed! The data science career welcomes any aspirant without prior knowledge of technical concepts and programming requisites.

  • Which is better- paid or free data science certifications?

Of course, the paid data science certifications as they offer credible validation to the participant. This enables them to showcase their earned skillsets in front of their future recruiters with much firmer skill proofs.

  • Are machine learning certifications the same as data science certifications?

Data science credentials target studying data and ways to extract the exact meaning of the vast data. However, machine learning certifications enable easy understanding and building methods to use data to enhance performance over time.