Data Scientist
Share
Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
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
NumPy
Scikit-learn
TensorFlow / PyTorch
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
Required Skills:
Python SQL Machine Learning Statistical Analysis Data Modeling Pandas NumPy Scikit-learn TensorFlow PyTorch Regression Classification Clustering Feature Engineering Data Preprocessing Model Evaluation Predictive Analytics Data Visualization Power BI Tableau Matplotlib Seaborn NLP Generative AI Apache Spark AWS Azure GCP
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
