Live opening · Posted 12 days ago
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Job Description – Data Scientist With Machine Learning
Position: Data Scientist with Machine Learning
Experience: 5+ Years
Joining Preference: Immediate Joiners Preferred
Job Summary
We are seeking an experienced Data Scientist with strong Machine Learning expertise to design, build, deploy, and optimize predictive models that solve business problems. The ideal candidate should have hands-on experience in statistical modeling, forecasting, MLOps, cloud platforms, and Python-based ML frameworks.
Key Responsibilities
Design, develop, test, and deploy Machine Learning models for business use cases.
Build forecasting models using ARIMA, SARIMA, and Prophet.
Develop predictive analytics and statistical models to improve decision-making.
Perform data preprocessing, feature engineering, model training, validation, and optimization.
Write efficient Python code using Pandas, NumPy, and Scikit-learn.
Work with PostgreSQL to extract, transform, and analyze data.
Implement MLOps practices for model deployment, monitoring, and versioning.
Build and optimize models using Random Forest, XGBoost, LightGBM, and CatBoost.
Deploy and manage ML solutions on AWS, Azure, or GCP.
Collaborate with cross-functional teams to translate business requirements into AI/ML solutions.
Required Skills
Machine Learning model development and deployment
Forecasting: ARIMA, SARIMA, Prophet
Predictive Analytics & Statistical Modeling
Python (Pandas, NumPy, Scikit-learn)
PostgreSQL
MLOps
Random Forest, XGBoost, LightGBM, CatBoost
Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP)
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
Soft Skills
Strong analytical and problem-solving skills
Excellent communication and collaboration
Ability to work independently in a remote environment
Good stakeholder management and presentation skills
Skills: python,mlops,aws,postgresql,gcp,machine learning,forecasting,data scientist,arima,sarima,ml,azure,aiml
Work arrangement
No
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