Data Scientist

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

Job summary

Rwindia is seeking a Data Scientist in Bengaluru, India to leverage advanced analytics and machine learning for business solutions. The ideal candidate will have at least 2 years of experience in Data Science and proficiency in Python, R, and SQL. This role involves defining business challenges, developing predictive models, and collaborating with cross-functional teams. A Bachelor’s or Master’s degree in a relevant field is preferred, along with experience in cloud platforms. Competitive salary and benefits are offered.

Qualifications

• 2+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python, R, and SQL.
• Experience with machine learning libraries and frameworks.

Responsibilities

• Define business problems and convert them into analytical frameworks.
• Build and validate Proof of Concepts (PoCs) for data-driven solutions.
• Drive MVP development including data preparation, feature engineering, and model building.
• Deploy predictive models into production environments.
• Establish monitoring frameworks for model performance and reliability.
• Collaborate with cross-functional teams to align solutions with business goals.
• Continuously improve models based on feedback, new data, and changing business needs.

Skills

Data Science

Machine Learning

Advanced Analytics

Python

R

SQL

MLOps

Cloud Platforms

Statistical Modeling

Data Engineering

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics

Job description

Job Summary

The Data Scientist is responsible for solving business problems through advanced analytics, machine learning, and data-driven solutions. The role involves building proof of concepts, developing predictive models, deploying machine learning solutions, and collaborating with cross-functional teams to drive strategic business outcomes.

Key Responsibilities

• Define business problems and convert them into analytical frameworks.
• Build and validate Proof of Concepts (PoCs) for data-driven solutions.
• Drive MVP development including data preparation, feature engineering, and model building.
• Deploy predictive models into production environments.
• Establish monitoring frameworks for model performance and reliability.
• Collaborate with cross-functional teams to align solutions with business goals.
• Continuously improve models based on feedback, new data, and changing business needs.

Required Skills & Experience

• 2+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python, R, and SQL.
• Experience with machine learning libraries and frameworks.
• Knowledge of statistical modeling and machine learning algorithms.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Understanding of MLOps practices for deployment and monitoring.
• Knowledge of data engineering concepts.
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related fields.
• Experience in end-to-end ML lifecycle management.
• Exposure to enterprise-scale analytics solutions.

Other Requirements

• Ability to translate complex business problems into actionable data solutions.
• Strong problem-solving and critical-thinking abilities.