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Intern Data Science

Matter

Ahmedabad

On-site

INR 3,00,000 - 9,00,000

Full time

30+ days ago

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Job summary

An innovative company is seeking a data analyst to contribute to electric vehicle test data analysis. The ideal candidate will analyze large datasets, identify trends, and collaborate with senior data scientists to implement machine learning models. This role involves data cleaning, visualization, and the development of data pipelines, ensuring clear communication of findings to both technical and non-technical stakeholders. If you're passionate about data and eager to solve complex problems in a collaborative environment, this opportunity is perfect for you.

Qualifications

  • Familiarity with data manipulation and analysis using Python or R.
  • Understanding of machine learning algorithms and techniques.

Responsibilities

  • Assist in collecting, cleaning, and preprocessing data from various sources.
  • Collaborate with senior data scientists to develop machine learning models.

Skills

Data Analysis
Problem Solving
Collaboration
Communication Skills

Education

Bachelor's Degree in Computer Science
Master's Degree in Data Science

Tools

Python
R
Matplotlib
Seaborn
Tableau
PowerBI
SQL

Job description

The right candidate shall be responsible for analyzing large datasets to identify trends, patterns, and insights systems for electric vehicle test data. He/she shall work as a strong Individual contributor.

Responsibilities:

  • Assist in collecting, cleaning, and preprocessing data from various sources.
  • Analyse large datasets to identify trends, patterns, and insights.
  • Collaborate with senior data scientists to develop and implement machine learning models.
  • Visualize data and results using appropriate tools to communicate findings clearly to both technical and non-technical stakeholders.
  • Contribute to the development of data pipelines and automation processes.
  • Assist in the creation of reports and presentations for internal teams and clients.
  • Participate in team meetings, brainstorming sessions, and technical reviews.

Requirements:

  • Familiarity with data manipulation and analysis using Python, R, or similar programming languages.
  • Understanding of key machine learning algorithms and techniques (e. g., regression, classification, clustering, etc. ).
  • Experience with data visualization tools like Matplotlib, Seaborn, Tableau, or PowerBI is a plus.
  • Strong analytical skills and a passion for problem-solving.
  • Ability to work collaboratively in a team environment.
  • Good communication skills and the ability to present complex information in a simple and clear manner.
  • Experience with SQL and working with databases is a plus.
  • Pursuing or completing a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
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