Data Scientist

Location: Bengaluru

Data Scientist

Location:

Bangalore

Experience:

3 – 4 Years

Employment Type:

Full-time

Role Overview
We are looking for a skilled  Data Scientist  with strong expertise in  machine learning, statistical analysis, and data modeling . The ideal candidate will work with large datasets to build predictive models, uncover insights, and develop AI-driven solutions that support data-driven business decisions.
This role involves working closely with  data engineers, software developers, and business stakeholders  to design and deploy intelligent analytics solutions.

Key Responsibilities
Data Analysis & Modeling
Analyze large and complex datasets to identify patterns, trends, and insights.
Develop statistical models and machine learning algorithms to solve business problems.
Perform exploratory data analysis to support data-driven decision-making.
Machine Learning Development
Design, develop, and deploy machine learning models for predictive analytics.
Implement supervised and unsupervised learning algorithms.
Evaluate model performance and optimize algorithms for accuracy and scalability.
Data Preparation
Perform data cleaning, preprocessing, and feature engineering.
Transform and prepare structured and unstructured datasets for model training.
AI & Advanced Analytics
Develop AI-driven solutions such as:
Predictive analytics models
Recommendation systems
Forecasting models
Anomaly detection systems
Model Deployment
Deploy machine learning models into production environments.
Work with engineering teams to integrate models into applications and platforms.
Monitor and improve model performance post-deployment.
Collaboration
Work closely with  Data Engineers, Software Engineers, and Product teams .
Translate business requirements into data science and machine learning solutions.
Required Skills
Programming
Python
SQL
Data Science & ML Libraries
Pandas
Num Py
Scikit-learn
Tensor Flow / Py Torch
Machine Learning
Regression
Classification
Clustering
Model evaluation and validation techniques
Data Visualization
Power BI
Tableau
Matplotlib
Seaborn
Data Platforms
Experience working with large datasets and data pipelines.
Preferred Skills

Experience with  Cloud platforms (AWS, Azure, or GCP)
Knowledge of  Deep Learning frameworks

Experience with  NLP or Generative AI models
Familiarity with  Big Data technologies such as Apache Spark
Qualifications
Bachelor’s or Master’s degree in  Computer Science, Data Science, Statistics, Mathematics, or a related field
3–4 years of experience  in Data Science, Machine Learning, or Advanced Analytics
Success Metrics
Accuracy and performance of machine learning models
Business insights generated through data analysis
Successful deployment of ML/AI models into production
Contribution to data-driven decision-making