Junior Data Scientist

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About the Role

Junior Data Scientist

more responsibility, autonomy,

Key Responsibilities

Data Wrangling & Cleaning

• Collect, clean, and preprocess large datasets from multiple sources to ensure accuracy, completeness, and consistency.

Exploratory Data Analysis (EDA)

• Analyze data to uncover trends, correlations, and actionable insights that drive strategic decisions.

Model Development & Support

• Assist in building, testing, and validating

  machine learning models

  under the guidance of senior data scientists.
• Contribute to

  model optimization

  and

  performance tracking

  .

Data Visualization & Reporting

• Develop interactive dashboards and clear visualizations to communicate findings using

  Tableau

  ,

  Power BI

  , or

  Streamlit

  .
• Present insights effectively to both technical and non-technical stakeholders.

Collaboration & Cross-Functional Support

• Work closely with

  data engineers, analysts,

  and

  business teams

  to define requirements, understand goals, and deliver measurable results.

Continuous Learning

• Stay updated with the latest data science techniques, tools, and frameworks — and apply innovative approaches to ongoing projects.

Qualifications

Experience

• 3–5 years

  of hands-on experience in

  data science, analytics, or related fields

  .

Technical Skills

• Programming:

  Strong proficiency in

  Python

  or

  R

  .

• Database Skills:

  Expertise in

  SQL

  for data extraction, transformation, and analysis.

• Machine Learning:

  Experience developing and deploying models such as

  regression

  ,

  classification

  , and

  clustering

  .

• Visualization:

  Skilled with

  Tableau

  ,

  Power BI

  ,

  Matplotlib

  , or

  ggplot2

  for data storytelling.

• App Development:

  Experience building

  interactive dashboards or data applications

  using

  Streamlit

  .

• Statistics:

  Strong foundation in

  statistical analysis

  and

  hypothesis testing

  .

Soft Skills

• Analytical Thinking:

  Proven ability to identify and solve complex business problems using data.

• Communication:

  Excellent written and verbal communication to present insights clearly to diverse audiences.

• Project Management:

  Capable of managing timelines, prioritizing tasks, and delivering results efficiently.

Why Join Us?

collaborative and high-performing data team

end-to-end data projects

cutting-edge data tools and technologies

dynamic, inclusive, and innovation-driven culture

Tech Stack You’ll Work With

Languages:

Visualization Tools:

Libraries & Frameworks:

Cloud & Tools: