Data Scientist

EdulearningVenture; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

EdulearningVenture in Bengaluru, India is seeking a Data Scientist to support the development of advanced analytics and machine learning initiatives. In this role, you will analyze large datasets, collaborate with teams across the company, and assist in building predictive models.

The ideal candidate will have a qualification in a related field and proficiency in Python, SQL, and key data science libraries. Strong communication skills and a collaborative mindset are essential for success.

Qualifications

• Qualification in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Proficiency in Python and key data science libraries.
• Operational understanding of machine learning principles.
• Experience with SQL for data querying.
• Strong communication skills and a collaborative mindset.

Responsibilities

• Analyze large and complex datasets to uncover trends and insights.
• Support the development of predictive models and machine learning workflows.
• Perform exploratory data analysis to guide product and business decisions.
• Collaborate with cross-functional teams.
• Assist with the design and maintenance of data pipelines.
• Document and communicate findings clearly.

Skills

Python proficiency

Data analysis

Machine learning principles

Statistical modeling

Communication skills

Collaboration

Education

Qualification in Data Science or related field

Tools

pandas

NumPy

scikit-learn

SQL

Tableau

Power BI

matplotlib

Git

Job description

Job Description

Support the Data Science team with the development of advanced analytics/machine learning/artificial intelligence initiatives.

Responsibilities

• Analyze large and complex datasets to uncover trends and insights.
• Support the development of predictive models and machine learning workflows.
• Perform exploratory data analysis to guide product and business decisions.
• Collaborate with cross-functional teams, including product, marketing, and engineering.
• Assist with the design and maintenance of data pipelines.
• Clearly document and communicate analytical findings to technical and non-technical stakeholders.

Basic Qualifications

• Qualification in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
• Operational understanding of machine learning principles and statistical modelling.
• Experience with SQL for data querying.
• Strong communication skills and a collaborative mindset.

Preferred Qualifications

• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Familiarity with data visualization tools like Tableau, Power BI, or matplotlib.
• Participation in personal data science projects or online competitions (e.g., Kaggle).
• Understanding of version control systems like Git.