Data Scientist

enter; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

enter in Bengaluru seeks a data scientist who can build and deploy machine learning models to solve real-world business problems. You will design and run experiments to validate data-driven hypotheses and develop predictive models using statistical methods and ML algorithms.

You will also create visualizations and present insights to stakeholders to drive decision-making. The ideal candidate has a strong foundation in statistics, proficiency in Python or R, solid SQL skills, and hands-on

Qualifications

• Strong foundation in statistics and probability theory.
• Proficient in Python or R for analysis and modeling.
• Hands-on with SQL queries and data manipulation using Pandas/NumPy.
• Familiar with Scikit-learn for ML solutions.
• Experience with data visualization to communicate results.
• Knowledge of experimentation frameworks and A/B testing.

Responsibilities

• Build and deploy ML models to solve business problems.
• Design experiments to validate hypotheses.
• Develop predictive models using statistical methods.
• Create visualizations and present insights to stakeholders.

Skills

Statistics foundation

Python or R

SQL

Pandas/NumPy

Scikit-learn

Data visualization

A/B testing

Forecasting

Communication of findings

Tools

SQL

Pandas

NumPy

Scikit-learn

Job description

Batch: 2019/2020/2021/2022/2023/2024.

About the role

• Build and deploy machine learning models to solve real-world business problems
• Design and execute experiments to validate data-driven hypotheses
• Develop predictive models using statistical methods and machine learning algorithms
• Create visualizations and present insights to stakeholders

What we're looking for

• Strong foundation in statistics and probability theory
• Proficiency in Python or R for data analysis and modeling
• Hands-on experience writing and optimizing SQL queries
• Comfortable working with Pandas and NumPy for data manipulation
• Knowledge of Scikit-learn for building machine learning solutions
• Ability to use data visualization tools to communicate findings
• Understanding of experimentation frameworks and A/B testing methodologies
• Experience with predictive modeling and forecasting techniques