DATA SCIENTIST- TE

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

Job summary

The iScale is seeking a data science professional in Bengaluru to develop and validate ML models addressing business challenges. You will perform data exploration, feature engineering, and model evaluation while communicating insights through dashboards and reports.

Responsibilities include collaboration with stakeholders, experimentation, and documentation. A degree in data science/CS with 0-3 years' experience and familiarity with AI/ML tools is preferred.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
• 0-3 years of experience in Data Science, Analytics, Machine Learning, or AI-related projects.
• Internship, academic, or industry experience in ML/AI projects is preferred.

Responsibilities

• Develop and validate machine learning models to address business challenges.
• Perform data exploration, cleansing, feature engineering, and model evaluation.
• Analyze large datasets to identify trends, patterns, and business opportunities.
• Support deployment and monitoring of ML models in production environments.
• Build dashboards, reports, and visualizations to communicate insights.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Conduct experiments and evaluate model performance using appropriate metrics.
• Document methodologies, assumptions, and results for knowledge sharing.
• Stay updated with new developments in AI, ML, and data science technologies.

Skills

Python for data analysis and ML

SQL

ML algorithms

Regression

Classification

Clustering

Statistics & hypothesis testing

Data visualization

Communication & presentation

Curiosity & learning mindset

Cross-functional collaboration

Education

Bachelor's or Master's in Data Science/CS/Statistics/Math/Engineering/AI

Tools

Scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

Power BI

Tableau

Matplotlib

Seaborn

Job description

Strong proficiency in Python for data analysis and machine learning.

Good knowledge of SQL and relational databases.

Understanding of Machine Learning algorithms, including:

• Regression
• Classification
• Clustering

Recommendation Systems

• Time Series Forecasting
• Experience with AI/ML libraries such as:
• Scikit-learn
• Pandas
• NumPy
• TensorFlow or PyTorch (basic knowledge)
• Understanding of statistics, probability, hypothesis testing, and feature engineering.
• Data visualization skills using Power BI, Tableau, Matplotlib, or Seaborn.
• Basic knowledge of Generative AI and Large Language Models (LLMs).
• Familiarity with cloud platforms such as AWS, Azure, or Databricks is an advantage

Responsibilities

• Develop and validate machine learning models to address business challenges.
• Perform data exploration, cleansing, feature engineering, and model evaluation.
• Analyze large datasets to identify trends, patterns, and business opportunities.
• Support deployment and monitoring of ML models in production environments.
• Build dashboards, reports, and visualizations to communicate insights.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Conduct experiments and evaluate model performance using appropriate metrics.
• Document methodologies, assumptions, and results for knowledge sharing.
• Stay updated with new developments in AI, ML, and data science technologies.

Education & Experience

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
• 0-3 years of experience in Data Science, Analytics, Machine Learning, or AI-related projects.
• Internship, academic, or industry experience in ML/AI projects is preferred.

Key Qualities

• Strong analytical and problem-solving skills.
• Curiosity and willingness to learn new technologies.
• Good communication and presentation skills.
• Ability to work collaboratively in cross-functional teams.
• Attention to detail and quality.
• Self-motivated with a continuous improvement mindset.
• Results-oriented and customer-focused.